Toggle Poster Visibility
Poster
None
Hyper-ICL: Attention Calibration with Hyperbolic Anchor Distillation for Multimodal In-Context Learning
[
OpenReview]
Poster
None
Context Distillation Retains Post-Training Capabilities in Continually Trained LMs
[
OpenReview]
Poster
None
Failure is Feedback: History-Aware Backtracking for Agentic Traversal in Multimodal Graphs
[
OpenReview]
Poster
None
Fast Mixture of Curvature-Aware Experts for Diverse and Dynamic Graph Topologies
[
OpenReview]
Poster
None
Safety Recovery in Reasoning Models Is Only a Few Early Steering Steps Away
[
OpenReview]
Poster
None
LIMSSR: LLM-Driven Sequence-to-Score Reasoning under Training-Time Incomplete Multimodal Observations
[
OpenReview]
Poster
None
Global Plane Waves From Local Gaussians: Periodic Charge Densities in a Blink
[
Poster]
[
OpenReview]
Poster
None
Plan in Sandbox, Navigate in Open Worlds: Learning Physics-Grounded Abstracted Experience for Embodied Navigation
[
OpenReview]
Poster
None
AutoNumerics-Zero: Automated Discovery of State-of-the-Art Mathematical Functions
[
OpenReview]
Poster
None
Teaching Models to Teach Themselves: Reasoning at the Edge of Learnability
[
OpenReview]
Poster
None
On the Intrinsic Limits of Transformer Image Embeddings in Non-Solvable Spatial Reasoning
[
OpenReview]
Poster
None
Every Step Counts: Decoding Trajectories as Authorship Fingerprints of dLLMs
[
OpenReview]
Poster
None
BioToken and BioFM – Biologically-Informed Tokenization Enables Accurate and Efficient Genomic Foundation Models
[
OpenReview]
Poster
None
Beyond Pixels: Mining Compressed Domain Artifacts for Efficient AI-Generated Video Detection
[
OpenReview]
Poster
None
DLM: Unified Decision Language Models for Offline Multi-Agent Sequential Decision Making
[
OpenReview]
Poster
None
ConFlux: Multivariate Time Series in Flux, One Unified Forecast in Confluence
[
OpenReview]
Poster
None
CausalX: A Unified and Causally-Interpretable Plug-and-Play Model for Multi-modal Spatio-Temporal Forecasting
[
OpenReview]
Poster
None
Scaling up Multi-Turn Off-Policy RL and Multi-Agent Tree Search for LLM Step-Provers
[
OpenReview]
Poster
None
Thinking in Flow: A Dissipative Stabilization Operator for Robust Autoregressive Reasoning
[
OpenReview]
Poster
None
EnsembleVLA: Ensemble Learning for Vision-Language Action Models
[
Poster]
[
OpenReview]
Poster
None
Visual Para-Thinker: Divide-and-Conquer Reasoning for Visual Comprehension
[
OpenReview]
Poster
None
Nested birth-death processes are competitive with parameter-heavy neural networks as time-dependent models of protein evolution
[
OpenReview]
Poster
None
Position: Academic Conferences are Potentially Facing Denominator Gaming Caused by Fully Automated Scientific Agents
[
OpenReview]
Poster
None
The impact of LoRA on Oversmoothing $\colon$ Understanding Catastrophic Forgetting in Mean-Field Attention Dynamics
[
OpenReview]
Poster
None
SLAP: The Semantic Least Action Principle for Variational Video-Language Modeling
[
OpenReview]
Poster
None
Language Generation with Replay: A Learning-Theoretic View of Model Collapse
[
OpenReview]
Poster
None
ToMoE: Converting Dense Large Language Models to Mixture-of-Experts through Dynamic Structural Pruning
Poster
None
Reconstruction Outcomes Look Similar but Processes Differ: Improving Context Consistency and Coverage in Graph Masked Auto-Encoder
[
OpenReview]
Poster
None
Dynamics Are Learned, Not Told: Semi-Supervised Discovery of Latent Dynamics Geometries For Zero-Shot Policy Adaptation
[
OpenReview]
Poster
None
DREAM: Dual-Standard Semantic Homogeneity with Dynamic Optimization for Graph Learning with Label Noise
[
OpenReview]
Poster
None
Risk-Averse and Optimistic Advertiser Incentive Compatibility in Auto-bidding
[
OpenReview]
Poster
None
Structured Diffusion Bridges: Inductive Bias for Denoising Diffusion Bridges
[
OpenReview]
Poster
None
Memory as a Markov Matrix: Sample Efficient Knowledge Expansion via Token-to-Dictionary Mapping
[
OpenReview]
Poster
None
A recipe for scalable attention-based ML potentials: unlocking long-range accuracy with all-to-all node attention
[
OpenReview]
Poster
None
BioDynaSpec: Harmonic-Guided Spatio-Spectral Autoregressive Diffusion for Protein Dynamics Generation
[
OpenReview]
Poster
None
Keep Everyone Happy: Online Fair Division of Numerous Items with Few Copies
[
OpenReview]
Poster
None
Efficiently Training Time-to-First-Spike Spiking Neural Networks from Scratch
[
OpenReview]
Poster
None
Flash-GRPO: Efficient Alignment for Video Diffusion via One-Step Policy Optimization
[
OpenReview]
Poster
None
Evaluating LLMs When They Do Not Know the Answer: Statistical Evaluation of Mathematical Reasoning via Comparative Signals
[
OpenReview]
Poster
None
On the Interplay of Pre-Training, Mid-Training, and RL on Reasoning Language Models
[
OpenReview]
Poster
None
Bridging Your Imagination with Audio-Video Generation via a Unified Director
[
OpenReview]
Poster
None
WEVSR: Adapting Video Diffusion Generators to Real-World Video Super‑Resolution with Wavelet-Enhanced VAE Encoder
[
OpenReview]
Poster
None
Dustin: Draft-Augmented Sparse Verification for Efficient Long-Context Generation with Speculative Decoding
[
OpenReview]
Poster
None
Zero-Shot Rankability: Revealing Latent Ordinal Structure in Multimodal Large Language Models via Language
[
OpenReview]
Poster
None
Revisiting Pre-Propagation GNNs: Robust Diffusion Operators and Hidden-State Re-Propagation
[
OpenReview]
Poster
None
Learning to Extrapolate to New Tasks: A Relational Approach to Task Extrapolation
[
Poster]
[
OpenReview]
Poster
None
Credit-assigned Policy Gradient for Early Stage Retrieval in Two-stage Ranking
[
OpenReview]
Poster
None
From Memorization to Parameter Interference: How Overtraining Experts Harms Model Merging
[
OpenReview]
Poster
None
Are Common Substructures Transferable? Understanding Transferability in Graph Pretraining under Riemannian Geometry
[
OpenReview]
Poster
None
Joint Geometric and Trajectory Consistency Learning for One-Step Real-World Super-Resolution
[
OpenReview]
Poster
None
Does a Hybrid Space-Aware Randomized Defense Improve Empirical and Certified Adversarial Robustness?
[
OpenReview]
Poster
None
Position: Predictive Uncertainty Is Not Enough -- Joint Distribution for Full Uncertainty Representation
[
OpenReview]
Poster
None
Effective MoE-based LLM Compression by Exploiting Heterogeneous Inter-Group Experts Routing Frequency and Information Density
[
OpenReview]
Poster
None
Embodiment-Conditioned Mixture of Experts Increases the Evolvability of Robots
[
OpenReview]
Poster
None
RoboOmni: Actions Are Just Another Modality for Your Vision-Language Models
[
OpenReview]
Poster
None
BizFinBench.v2: Towards Reliable LLMs in Finance via Real-User Data and Offline/Online Bilingual Evaluation
[
OpenReview]
Poster
None
LoRe: Adaptive Interaction-Evaluation Routing with Per-step Interaction Budgets for Iterative Graph Solvers
[
OpenReview]
Poster
None
Supervise Less, See More: Training-free Nuclear Instance Segmentation with Prototype-Guided Prompting
[
OpenReview]
Poster
None
See What Matters: Differentiable Grid Sample Pruning for Generalizable Vision-Language-Action Model
[
Slides]
[
Poster]
[
OpenReview]
Poster
None
LMM4-IC4K: A Large Multimodal Model Powered Integrated Circuit Footprint Geometry Understanding
[
OpenReview]
Poster
None
Faster Than Flash: Exploiting Attention Sparsity for Efficient Long-Context Decoding
[
OpenReview]
Poster
None
Alignment-Guided Score Matching for Text-to-Image Alignment in Diffusion Models
[
OpenReview]
Poster
None
Self-Prompting Diffusion Transformer for Open-Vocabulary Scene Text Edit via In-Context Learning
[
Poster]
[
OpenReview]
Poster
None
When LLMs Encounter Open-world Graph Learning: A Fresh View on Unlabeled Data Uncertainty
[
OpenReview]
Poster
None
AtomWorld: A Benchmark for Evaluating Spatial Reasoning in Large Language Models on Material Structures
[
OpenReview]
Poster
None
Regulating Anatomy-Aware Rewards via Trajectory-Integral Feedback for Volumetric Computed Tomography Analysis
[
OpenReview]
Poster
None
SmartThinker: Progressive Chain-of-Thought Length Calibration for Efficient Large Language Model Reasoning
[
OpenReview]
Poster
None
Position: Stop Preaching and Start Practising Data Frugality for Responsible Development of AI
[
OpenReview]
Poster
None
Toward Effective Multimodal Graph Foundation Model: A Divide-and-Conquer Based Approach
[
OpenReview]
Poster
None
A Single Layer to Explain Them All: Understanding Massive Values in Large Language Models
[
OpenReview]
Poster
None
PowerFlow: Unlocking the Dual Nature of LLMs via Principled Distribution Matching
[
OpenReview]
Poster
None
LLM4Cov: Execution-Grounded Agent Learning for High-Coverage Hardware Verification
[
OpenReview]
Poster
None
Full-Batch Gradient Descent Outperforms One-Pass SGD: Sample Complexity Separation in Single-Index Learning
[
OpenReview]
Poster
None
Rethinking Forgery Attacks on Semantic Watermarks in Black-Box Settings: A Geometric Distortion Perspective
[
OpenReview]
Poster
None
MIND: Multi-rationale INtegrated Discriminative Reasoning Framework for Multi-modal Large Models
[
OpenReview]
Poster
None
The Sign Estimator: Preference Modeling for LLM Alignment under Heterogeneity
[
OpenReview]
Poster
None
A Positive Case for Faithfulness: Explanations Help Predict Model Behavior
[
OpenReview]
Poster
None
StarEmbed: Benchmarking Time Series Foundation Models on Astronomical Observations of Variable Stars
[
OpenReview]
Poster
None
Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training
[
OpenReview]
Poster
None
Detecting Fluent Optimization Based Adversarial Prompts via Sequential Entropy Changes
[
OpenReview]
Poster
None
TestExplora: Benchmarking LLMs for Proactive Bug Discovery via Repository-Level Test Generation
[
OpenReview]
Poster
None
Active Exploring like a Pigeon: Reinforcing Spatial Reasoning via Agentic Vision-Language Models
[
OpenReview]
Poster
None
Trojan-Speak: Bypassing Constitutional Classifiers with No Jailbreak Tax via Adversarial Finetuning
[
OpenReview]
Poster
None
Robust Cross-Modal Retrieval via Generative Semantic Refinement and Exclusion-Guided Adaptation
[
OpenReview]
Poster
None
Riemannian Diffusion Models on General Manifolds via Physics-Informed Neural Networks
[
OpenReview]
Poster
None
Improved Analysis of the Accelerated Noisy Power Method with Applications to Decentralized PCA
[
OpenReview]
Poster
None
Multi-View Causal Discovery without Non-Gaussianity: Identifiability and Algorithms
[
OpenReview]
Poster
None
Single-Rollout Hidden-State Dynamics for Training-Free RLVR Data Selection
[
OpenReview]
Poster
None
StreamFlow: Theory, Algorithm, and Implementation for High-Efficiency Rectified Flow Generation
[
OpenReview]
Poster
None
Credible Information Subset Decomposition: An End-to-End Multi-fidelity Learning Model by Modeling Label Information
[
OpenReview]
Poster
None
HaloProbe: Bayesian Detection and Mitigation of Object Hallucinations in Vision-Language Models
[
OpenReview]
Poster
None
Multi-view Consistent Latent Action Learning for World Modeling and Control
[
Slides]
[
Poster]
[
OpenReview]
Poster
None
Functional Adjoint Sampler: Scalable Sampling on Infinite Dimensional Spaces
[
OpenReview]
Poster
None
Phy-CoSF: Physics-Guided Continuous Spectral Fields Reconstruction and Spectral Super-Resolution for Snapshot Compressive Imaging
[
Slides]
[
Poster]
[
OpenReview]
Poster
None
Multi-Objective Bayesian Optimization via Adaptive $\varepsilon$-Constraint Decomposition
[
OpenReview]
Poster
None
SafeSci: Safety Evaluation of Large Language Models in Science Domains and Beyond
[
OpenReview]
Poster
None
One-step Optimal Transport via Regularized Distribution Matching Distillation
[
OpenReview]
Poster
None
Gradient Flow Through Diagram Expansions: Learning Regimes and Explicit Solutions
[
OpenReview]
Poster
None
Algorithmic Primitives and Compositional Geometry of Reasoning in Language Models
[
OpenReview]
Poster
None
No More K-means: Single-Stage Sparse Coding for Efficient Multi-Vector Retrieval
[
OpenReview]
Poster
None
PRAC: Principal-Random Subspace for LLM Activation Compression and Memory-Efficient Training
[
OpenReview]
Poster
None
Improved Dynamic Algorithm for Non-monotone Submodular Maximization under Cardinality Constraint
[
OpenReview]
Poster
None
Orthogonal Hierarchical Decomposition for Structure-Aware Table Understanding with Large Language Models
[
OpenReview]
Poster
None
Chamaileon: Cross-Context Binder Design with Contextualized Modeling and Mixed Sampling
[
OpenReview]
Poster
None
GKD-Recruiter: Jointly Modeling Social and Task Heterogeneity for Spatial Crowdsourcing via Graph Knowledge Distillation
[
OpenReview]
Poster
None
AMDP: Asynchronous Multi-Directional Pipeline Parallelism for Large-Scale Models Training
[
OpenReview]
Poster
None
Understanding Multimodal Learning: A Loss Landscape Smoothness Perspective
[
OpenReview]
Poster
None
Can Agents Generalize to the Open World? Unveiling the Fragility of Static Training in Tool Use
[
OpenReview]
Poster
None
VeriSimpl: Robust Optimization Modeling from Natural Language using Simplification-based Verification
[
OpenReview]
Poster
None
Pianist Transformer: Towards Expressive Piano Performance Rendering via Scalable Self-Supervised Pre-Training
[
OpenReview]
Poster
None
DRIFT-BENCH: Diagnosing CoopeRative Breakdowns in LLM Agents under Input Faults via Multi-Turn Interaction
[
OpenReview]
Poster
None
Lifting Traces to Logic: Programmatic Skill Induction with Neuro-Symbolic Learning for Long-Horizon Agentic Tasks
[
OpenReview]
Poster
None
HieraScaffold: Learning Compact Hierarchical Representations for Scalable 4D LiDAR Generation
[
OpenReview]
Poster
None
Learning to Decode Against Compositional Hallucination in Video Multimodal Large Language Models
[
OpenReview]
Poster
None
From Directions to Regions: Decomposing Activations in Language Models via Local Geometry
[
OpenReview]
Poster
None
On the Learnability of Test-Time Adaptation: A Recovery Complexity Perspective
[
OpenReview]
Poster
None
DataGuard: A Non-intrusive Dataset Auditing Framework via Differential Information Forensics
[
OpenReview]
Poster
None
Stabilizing Recurrent Dynamics for Test-Time Scalable Latent Reasoning in Looped Language Models
[
OpenReview]
Poster
None
Quantitative Estimation of Target Task Performance from Unsupervised Pretext Task in Semi/Self-Supervised Learning
[
OpenReview]
Poster
None
Hierarchical Multi Scale Graph Neural Networks: Scalable Heterophilous Learning with Oversmoothing and Oversquashing Mitigation
[
OpenReview]
Poster
None
AdaHC: Accelerating Multi-Token Prediction with Adaptive Head Chunking with Pipeline Parallelism
[
OpenReview]
Poster
None
PGC: Peak-Guided Calibration for Generalizable AI-Generated Image Detection
[
OpenReview]
Poster
None
Improving LLM-Based Recommenders with Conservative Generative Flow Networks
[
OpenReview]
Poster
None
Crisp: A Spectral-Based Interaction Strategy for Multivariate Time Series Forecasting
[
OpenReview]
Poster
None
From Teacher Pathways to Invariant Manifolds: Consensus Subspace Distillation for TSFMs
[
Poster]
[
OpenReview]
Poster
None
Position: EU AI Act's Research Exemptions Can Break the Publication Norms of Major AI Conferences
[
OpenReview]
Poster
None
Holi-Spatial: Evolving Video Streams into Holistic 3D Spatial Intelligence
[
OpenReview]
Poster
None
AdvEvo-MARL: Shaping Internalized Safety through Adversarial Co-Evolution in Multi-Agent Reinforcement Learning
[
OpenReview]
Poster
None
SPARe: Stacked Parallelism with Adaptive Reordering for Fault-Tolerant LLM Pretraining Systems with 100k+ GPUs
[
Poster]
[
OpenReview]
Poster
None
Expo-GS: Exposure-Aware Signed Distance Function in Gaussian Splatting for High Dynamic Range
[
OpenReview]
Poster
None
SWE-Perf: Can Language Models Optimize Code Performance on Real-World Repositories?
[
OpenReview]
Poster
None
Inference Time Concept Removal Guidance for Text-to-Image Diffusion Models
[
OpenReview]
Poster
None
FluxNet: Learning Capacity-Constrained Local Transport Operators for Conservative and Bounded PDE Surrogates
[
OpenReview]
Poster
None
Towards the Explainability of Temporal Graph Networks via Memory Backtracking and Topological Attribution
[
OpenReview]
Poster
None
Noise as a Natural Regularizer in Markov Decision Processes: Connecting Environmental Stochasticity and Policy Simplicity
[
OpenReview]
Poster
None
Investigating Advanced Reasoning of Large Language Models via Black-Box Interaction
[
OpenReview]
Poster
None
DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving
[
OpenReview]
Poster
None
AURA: Visually Interpretable Affective Understanding via Robust Archetypes
[
OpenReview]
Poster
None
Solving Stochastic Variational Inequalities without the Bounded Variance Assumption
[
OpenReview]
Poster
None
scDEBART: Predicting in silico Single-Cell Perturbation Responses via Large-Scale Differential Expression Learning
[
OpenReview]
Poster
None
PSG-Nav: Probabilistic Scene Graph Navigation via Multiverse Decision Making
[
OpenReview]
Poster
None
Fox in the Henhouse: Supply-Chain Backdoor Attacks Against Reinforcement Learning
[
OpenReview]
Poster
None
RED-HDP-HMM: Observation-Dependent Durations for Bayesian Nonparametric Sequential Models
[
OpenReview]
Poster
None
UCB Exploration for Fixed-Budget Bayesian Best Arm Identification
Poster
None
Per-example Gradients: a New Frontier for Understanding and Improving Optimizers
[
OpenReview]
Poster
None
Narrowing the ANN–SNN Gap for 1D Signal Classification with Multi-Scale Temporal Encoding and Sparsity-Regularized Transform Encoding
[
OpenReview]
Poster
None
VLAW: Iterative Co-Improvement of Vision-Language-Action Policy and World Model
[
OpenReview]
Poster
None
Mitigating the Modality Gap in Vision–Language Models with Fractal Spectral Geometry
[
OpenReview]
Poster
None
MoDA: Modulation Adapter for Fine-Grained Visual Understanding in Instructional MLLMs
[
OpenReview]
Poster
None
Fair-FedMOE: Group-Fair One-Shot Federated Learning via Prototype-Guided Experts for Medical Imaging Analysis
[
OpenReview]
Poster
None
BVS: Bayesian Visual Search with Multimodal Large Language Model for Fine-grained Perception
[
OpenReview]
Poster
None
Self-Calibrated Consistency can Fight Back for Adversarial Robustness in Vision-Language Models
[
OpenReview]
Poster
None
Towards Efficient and Expressive Offline RL via Flow-Anchored Noise-conditioned Q-Learning
[
OpenReview]
Poster
None
The (Marginal) Value of a Search Ad: An Online Causal Framework for Repeated Second-price Auctions
[
OpenReview]
Poster
None
Resting Neurons, Active Insights: Robustify Activation Sparsity for Large Language Models
[
OpenReview]
Poster
None
Geometry-Aware Contrastive Learning for Few-Shot Automatic Modulation Recognition
[
Slides]
[
OpenReview]
Poster
None
WeatherSyn: An Instruction Tuning MLLM For Weather Forecasting Report Generation
[
OpenReview]
Poster
None
Sequential Kernel-based Conditional Independence Testing via Adaptive Betting
[
OpenReview]
Poster
None
Beyond Euclidean Summaries: Online Change Point Detection for Distribution-Valued Data
[
OpenReview]
Poster
None
Doubly Regularized Markov Decision Processes for Robust Reinforcement Learning
[
OpenReview]
Poster
None
HiMAP-Travel: Hierarchical Multi-Agent Planning for Long-Horizon Constrained Travel
[
OpenReview]
Poster
None
MINIM: Privacy-Aware Minimal View for Agents via Trusted Local Sanitization
[
OpenReview]
Poster
None
Tighter Regret Lower Bound for Gaussian Process Bandits with Squared Exponential Kernel in Hypersphere
[
OpenReview]
Poster
None
Ophiuchus: Incentivizing Tool-augmented ''Think with Images'' for Joint Medical Segmentation, Understanding and Reasoning
[
OpenReview]
Poster
None
Rays as Pixels: Learning A Joint Distribution of Video and Camera Trajectories
[
OpenReview]
Poster
None
Position: The Turing-Completeness of Real-World Autoregressive Transformers Relies Heavily on Context Management
[
OpenReview]
Poster
None
RSAgent: Learning to Reason and Act via Multi-Turn Tool Invocations for Text-Guided Segmentation
[
OpenReview]
Poster
None
MedScope: Incentivizing "Think with Videos" for Clinical Reasoning via Coarse-to-Fine Tool Calling
[
OpenReview]
Poster
None
Think Twice Before You Act: Protecting LLM Agents Against Tool Description Poisoning via Isolated Planning
[
OpenReview]
Poster
None
DSGym: A Standardized and Holistic Framework for Advancing Data Science Agents
[
OpenReview]
Poster
None
LatentChem: From Textual CoT to Latent Thinking in Chemical Reasoning
[
Slides]
[
OpenReview]
Poster
None
Role-Level Inductive Bias for Cross-Task Generalization in Multi-Agent Reinforcement Learning
[
OpenReview]
Poster
None
SwiftPFN: Revisiting Row-Wise Attention–Only Tabular Foundation Models with Adaptive Early Exit
[
OpenReview]
Poster
None
Efficient Synthetic Network Generation via Latent Embedding Reconstruction
[
OpenReview]
Poster
None
FusionCell: Cross-Attentive Fusion of Layout Geometry and Netlist Topology for Standard-Cell Performance Prediction
[
Slides]
[
OpenReview]
Poster
None
Attribution-Guided and Coverage-Maximized Pruning for Structural MoE Compression
[
OpenReview]
Poster
None
Coupled Variational Reinforcement Learning for Language Model General Reasoning
[
OpenReview]
Poster
None
Towards Multimodal Large Language Models with Both Training and Inference Efficiency
[
OpenReview]
Poster
None
Navigating the Flatlands: Dual Adaptive Sharpness-Aware Minimization for Domain Generalization
[
OpenReview]
Poster
None
THETA: Threshold-Based Exclusive Batching for Memory-Bandwidth-Constrained LLM Inference
[
OpenReview]
Poster
None
A Queueing-Theoretic Framework for Stability Analysis of LLM Inference with KV Cache Memory Constraints
[
Poster]
[
OpenReview]
Poster
None
Plan, Decouple, Assimilate: Physics-Aware Object Insertion in Remote Sensing Imagery
[
OpenReview]
Poster
None
Do Vision and Text Cues Exhibit Evidential Coupling? UFO: A Benchmark for Compositional Multimodal Reasoning in Unified Models
[
OpenReview]
Poster
None
GO-PRE:Goal-Oriented Next-Best-View Selection via Predictive Rendering Entropy for Active 3D Reconstruction
[
OpenReview]
Poster
None
Semi-Supervised Noise Adaptation: Transferring Knowledge from Noise Domain
[
OpenReview]
Poster
None
PoMtVRS: Preference-Optimized Multi-Task Vehicle Routing Solver with Preference Gating
[
OpenReview]
Poster
None
Position: Explanation Stability Is a Property of the Model–Method Pair, Not the Model
[
OpenReview]
Poster
None
The Geometric Mechanics of Contrastive Representation Learning: Alignment Potentials, Entropic Dispersion, and Cross-Modal Divergence
[
Poster]
[
OpenReview]
Poster
None
CompleteP for RL: Maintaining Feature Learning When Scaling Deep Reinforcement Learning
[
OpenReview]
Poster
None
Reward Shaping Control Variates for Off-Policy Evaluation Under Sparse Rewards
[
OpenReview]
Poster
None
Online Linear Programming for Multi-Objective Routing in LLM Serving
[
Poster]
[
OpenReview]
Poster
None
Scheduling Thoughts: Learning the Order of Thought in Diffusion Language Models
[
OpenReview]
Poster
None
Hierarchical Filtering and Refinement Classification for Few-Shot Class-Incremental Learning
Poster
None
Think Deep, Not Just Long: Measuring LLM Reasoning Effort via Deep-Thinking Tokens
[
OpenReview]
Poster
None
Plug-and-Play Diffusion Meets ADMM: Dual-Variable Coupling for Robust Medical Image Reconstruction
[
OpenReview]
Poster
None
Q-Flow: Stable and Expressive Reinforcement Learning with Flow-based Policy
[
OpenReview]
Poster
None
Diffusion Bridge or Flow Matching? A Unifying Framework and Comparative Analysis
[
OpenReview]
Poster
None
CryoACE: An Atom-centric Framework for Accurate and Automated Model Building in Cryo-EM
[
OpenReview]
Poster
None
Video2GUI: Synthesizing Large-Scale Interaction Trajectories for Generalized GUI Agent Pretraining
[
OpenReview]
Poster
None
FUSE: FK-Steered Multi-Modal Flow Matching for Efficient Simulation-Based Posterior Estimation
[
OpenReview]
Poster
None
CG-MLLM: Captioning and Generating 3D content via Multi-modal Large Language Models
[
Poster]
[
OpenReview]
Poster
None
Rethinking the Design Space of Reinforcement Learning for Diffusion Models: On the Importance of Likelihood Estimation Beyond Loss Design
[
OpenReview]
Poster
None
Enhancing Reasoning for Diffusion LLMs via Distribution Matching Policy Optimization
[
OpenReview]
Poster
None
MMPD-Bench: Bridging Multimodal Fission with Multi-Polarimetric Modalities Decomposition
[
OpenReview]
Poster
None
Guideline-Grounded Evidence Accumulation for High-Stakes Agent Verification
[
OpenReview]
Poster
None
Reuse your FLOPs: Scaling RL on Hard Problems by Conditioning on Very Off-Policy Prefixes
[
OpenReview]
Poster
None
Safeguarded Stochastic Polyak Step Sizes for Non-smooth Optimization: Robust Performance Without Small (Sub)Gradients
[
OpenReview]
Poster
None
*MemPot*: Defend Against Memory Extraction Attack with Optimized Honeypots
[
OpenReview]
Poster
None
Bayesian Meta-Learning with Expert Feedback for Task-Shift Adaptation through Causal Embeddings
[
OpenReview]
Poster
None
Adaptive Sharpness-Aware Minimization with a Polyak-type Step size: A Theory-Grounded Scheduler
[
OpenReview]
Poster
None
Sampled hard labels from sparse targets mislead rotation invariant algorithms
[
OpenReview]
Poster
None
TRACER: Trajectory Risk Aggregation for Critical Episodes in Agentic Reasoning
[
OpenReview]
Poster
None
ScaleMoE: Mixture-of-Experts for Scalable Continuous Control in Actor-Critic Reinforcement Learning
[
OpenReview]
Poster
None
Position: LLM Serving Needs Mathematical Optimization and Algorithmic Foundations, Not Just Heuristics
[
Poster]
[
OpenReview]
Poster
None
Stabilizing In-Context Multi-Source Domain Adaptation for Biomedical Images Through Controls
[
OpenReview]
Poster
None
RoboMME: Benchmarking and Understanding Memory for Robotic Generalist Policies
[
Poster]
[
OpenReview]
Poster
None
Training-free Composition of Pre-trained GFlowNets for Multi-Objective Generation
[
OpenReview]
Poster
None
Towards Effective Waste Segmentation for Automated Waste Recycling in Cluttered Background
[
OpenReview]
Poster
None
Multi-Head Attention as a Source of Catastrophic Forgetting in MoE Transformers
[
OpenReview]
Poster
None
Minibatch selection for Language Models via Partition Matroid Constrained Gradient Matching
[
OpenReview]
Poster
None
FlexRank: Nested Low-Rank Knowledge Decomposition for Adaptive Model Deployment
[
OpenReview]
Poster
None
Less Precise Can Be More Reliable: A Systematic Evaluation of Quantization’s Impact on VLMs Beyond Accuracy
[
OpenReview]
Poster
None
TokSuite: Measuring the Impact of Tokenizer Choice on Language Model Behavior
[
OpenReview]
Poster
None
Improving Few-Shot Design Optimization By Exploiting Auxiliary Information
[
OpenReview]
Poster
None
Can We Build a Monolithic Model for Fake Image Detection? SICA: Semantic-Induced Constrained Adaptation for Unified-Yet-Discriminative Artifact Feature Space Reconstruction
[
OpenReview]
Poster
None
A Consensus Anchor-guided Hypergraph Framework For Incomplete Multi-view Clustering
[
OpenReview]
Poster
None
Removing Noise, not Finding Gold: Quality Filtering for Large-Scale Pretraining
[
OpenReview]
Poster
None
Repositioning the Subject within Image
Poster
None
Dual-stage Contrastive Learning-enhanced Multi-view Variational Clustering
[
OpenReview]
Poster
None
Asymptotically Fast Clebsch-Gordan Tensor Products with Vector Spherical Harmonics
[
OpenReview]
Poster
None
ManifoldKV: Training-Free KV Cache Compression via Euclidean Outlier Detection
[
OpenReview]
Poster
None
Optimal Estimation of Continuous Treatment Effects with Kernel Ridge Regression
[
OpenReview]
Poster
None
Autoregressive Language Models are Secretly Energy-Based Models: Insights into the Lookahead Capabilities of Next-Token Prediction
[
OpenReview]
Poster
None
Discovering Ordinary Differential Equations with LLM-Based Qualitative and Quantitative Evaluation
[
OpenReview]
Poster
None
Structure-Aware Riemannian Flow Matching for Registration and Fusion of Hyperspectral and Multispectral Images
[
OpenReview]
Poster
None
A Task-centric Theory for Iterative Self-Improvement with Easy-to-Hard Curricula
[
OpenReview]
Poster
None
ReJump: A Tree-Jump Representation for Analyzing and Improving LLM Reasoning
[
OpenReview]
Poster
None
Local Hessian Spectral Filtering for Robust Intrinsic Dimension Estimation
[
OpenReview]
Poster
None
Time-Consistent Robust Multi-Objective Reinforcement Learning via a Bellman–Isaacs Weight-Adversary Recursion
[
OpenReview]
Poster
None
Near-Minimax Multi-Objective RL under Predictable Adversarial Preferences and Preference-Free Exploration in Linear MDPs
[
OpenReview]
Poster
None
TsLLM: Augmenting LLMs for General Time Series Understanding and Prediction
[
OpenReview]
Poster
None
VideoVeritas: AI-Generated Video Detection via Perception Pretext Reinforcement Learning
[
Slides]
[
OpenReview]
Poster
None
Rubric Curriculum RL: Exploiting the Generation-Verification Gap in Creative Writing
[
OpenReview]
Poster
None
Accordion-Thinking: Self-Regulated Step Summaries for Efficient and Readable LLM Reasoning
[
OpenReview]
Poster
None
Depth-Breadth Synergy in RLVR: Unlocking LLM Reasoning Gains with Adaptive Exploration
[
OpenReview]
Poster
None
Revisiting Padded Transformer Expressivity: Which Architectural Choices Matter and Which Don't
[
OpenReview]
Poster
None
iTryOn: Mastering Interactive Video Virtual Try-On with Spatial-Semantic Guidance
[
Poster]
[
OpenReview]
Poster
None
SCALE: Self-uncertainty Conditioned Adaptive Looking and Execution for Vision-Language-Action Models
[
OpenReview]
Poster
None
Left–Right Symmetry Breaking in CLIP-style Vision-Language Models Trained on Synthetic Spatial-Relation Data
[
OpenReview]
Poster
None
Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development
[
OpenReview]
Poster
None
Optimal Attention Temperature Improves the Robustness of In-Context Learning under Distribution Shift in High Dimensions
[
OpenReview]
Poster
None
SelfJudge: Faster Speculative Decoding via Self-Supervised Judge Verification
[
OpenReview]
Poster
None
AlphaRouter: Token-level Routing Between SLM and LLM with Reinforcement Learning and Tree Search
[
OpenReview]
Poster
None
Affine-Scaled Attention: Towards Flexible and Stable Transformer Attention
[
OpenReview]
Poster
None
ScaleErasure: Inference-Time Minimal Intervention for Precise Concept Erasure in Next-Scale Autoregressive Image Generation
[
Poster]
[
OpenReview]
Poster
None
Efficient Learning of Compositional Targets with Hierarchical Spectral Methods
[
OpenReview]
Poster
None
MM-Spectrum: Multimodal Multi-spectral Molecular Structural Elucidation with a Stable MoE Framework
[
OpenReview]
Poster
None
Sharp Concentration Bounds for Vector Bundle-Valued Statistics on Manifolds
[
OpenReview]
Poster
None
Toward Subspace-Perturbed Trajectory-Aware Backdoor Attacks in Deep Reinforcement Learning
[
OpenReview]
Poster
None
Fingerprinting Pre-trained Encoders under Arbitrary Downstream Fine-Tuning via Adversarial Shifting
[
Slides]
[
Poster]
[
OpenReview]
Poster
None
Towards Theoretical Understanding of Transformer Test-Time Computing: Investigation on In-Context Linear Regression
[
OpenReview]
Poster
None
Active Learning with Foundation Model Priors: Efficient Learning under Class Imbalance
[
OpenReview]
Poster
None
Query-Based Asymmetric Modeling with Decoupled Input–Output Rates for Speech Restoration
[
OpenReview]
Poster
None
Curating the Future: A Scalable Recipe for Training Open-Ended Forecasters
[
OpenReview]
Poster
None
Graph-Link: Bridging the Semantic-Structural Gap in Text-to-SQL via Constrained Subgraph Induction
[
OpenReview]
Poster
None
SpatialReward: Bridging the Perception Gap in Online RL for Image Editing via Explicit Spatial Reasoning
[
OpenReview]
Poster
None
VideoTemp-o3: Harmonizing Temporal Grounding and Video Understanding in Agentic Thinking-with-Videos
[
OpenReview]
Poster
None
TRIP-Bench: A Benchmark for Long-Horizon Interactive Agents in Real-World Scenarios
[
OpenReview]
Poster
None
Toward Structural Multimodal Representations: Specialization, Selection, and Sparsification via Mixture-of-Experts
[
Poster]
[
OpenReview]
Poster
None
ReSpinQuant: Efficient Layer-Wise LLM Quantization via Subspace Residual Rotation Approximation
[
OpenReview]
Poster
None
Profiling the Irrational Agent: Cognitive Modeling of LLM Behaviors in Sequential Jailbreaks
[
OpenReview]
Poster
None
DocHop: Benchmarking Out-of-domain Multi-hop Reasoning in Information-Dense Documents
[
OpenReview]
Poster
None
Large Language Model Teaches Visual Students: Cross-Modality Transfer of Fine-Grained Conceptual Knowledge
[
OpenReview]
Poster
None
Spatial Deconfounder: Interference-Aware Deconfounding for Spatial Causal Inference
[
OpenReview]
Poster
None
ANCHOR: Abductive Network Construction with Hierarchical Orchestration for Reliable Probability Inference in Large Language Models
[
OpenReview]
Poster
None
Post-Training with Policy Gradients: Optimality and the Base Model Barrier
[
OpenReview]
Poster
None
FRIGID: Scaling Diffusion-Based Molecular Generation from Mass Spectra at Training and Inference Time
[
OpenReview]
Poster
None
Efficient Prediction of SO(3)-Equivariant Hamiltonian Matrices via SO(2) Local Frames
[
OpenReview]
Poster
None
Pix2Key: Controllable Open-Vocabulary Retrieval with Semantic Decomposition and Self-Supervised Visual Dictionary Learning
[
OpenReview]
Poster
None
LLMs as Noisy Channels: A Shannon Perspective on Model Capacity and Scaling Laws
[
OpenReview]
Poster
None
Optimal Fair Aggregation of Crowdsourced Noisy Labels using Demographic Parity Constraints
[
OpenReview]
Poster
None
Where Detectors Fail: Probing Generative Space for Generalizable AI-Generated Image Detection
[
OpenReview]
Poster
None
Shrinking the Variance: Shrinkage Baselines for Reinforcement Learning with Verifiable Rewards
[
OpenReview]
Poster
None
Temporal Context Reinstatement Drives Episodic-Like Order Memory in Long-Context Language Models
[
OpenReview]
Poster
None
When Preference Labels Fall Short: Aligning Diffusion Models from Real Data
[
OpenReview]
Poster
None
Demystifying Entropy Control in LLM RL Training: Theoretical Analysis and Dynamic Scheduling
[
OpenReview]
Poster
None
Position: Self-Play Only Evolves When Self-Synthetic Pipeline Ensures Learnable Information Gain
[
OpenReview]
Poster
None
FlatLand: Personalized Graph Federated Learning via Tailored Lorentz Space
[
OpenReview]
Poster
None
Inference-time Alignment with Rewards in Besov Spaces: Provable Advantages of Feature Learning and Multi-Step Policy Updates
[
OpenReview]
Poster
None
In-Context Learning Is Provably Bayesian Inference: A Generalization Theory for Meta-Learning
[
OpenReview]
Poster
None
Conditional Equivalence of DPO and RLHF: Assumptions, Failure Modes, and Provable Alignment
[
OpenReview]
Poster
None
Hunt Instead of Wait: Evaluating Deep Data Research on Large Language Models
[
OpenReview]
Poster
None
DC-Leap: Training-Free Acceleration of dLLMs via Draft-Guided Contiguous Leaping Decoding
[
OpenReview]
Poster
None
FullStack-Agent: Enhancing Agentic Full-Stack Web Coding via Development-Oriented Testing and Repository Back-Translation
[
OpenReview]
Poster
None
From Player to Master: Enhancing Test-Time Learning of LLM Agents via Reinforcement Learning over Memory
[
OpenReview]
Poster
None
LLM-Guided Diagnostic Evidence Alignment for Medical Vision–Language Pretraining under Limited Pairing
[
OpenReview]
Poster
None
Mitigating Staleness in Asynchronous Pipeline Parallelism via Basis Rotation
[
OpenReview]
Poster
None
Compositional Behavioral Semantics and Metrics for State Abstraction in Reinforcement Learning
[
OpenReview]
Poster
None
Solving the Offline and Online Min-Max Problem of Non-smooth Submodular-Concave Functions: A Zeroth-Order Approach
[
OpenReview]
Poster
None
Benchmarking and Evolving Reason-Reflect-Rectify for Reflective Visual Generation
[
OpenReview]
Poster
None
Finding the Correct Visual Evidence Without Forgetting: Mitigating Hallucination in LVLMs via Inter-Layer Visual Attention Discrepancy
[
OpenReview]
Poster
None
MemCast: Memory-Driven Time Series Forecasting with Experience-Conditioned Reasoning
[
OpenReview]
Poster
None
AgentSteerTTS: A Multi-Agent Closed-Loop Framework for Composite-Instruction Text-to-Speech
[
OpenReview]
Poster
None
CoGenCast: A Coupled Autoregressive–Flow Generative Framework for Time Series Forecasting
[
OpenReview]
Poster
None
When Labelers Stay Silent: The Power of Ties in Cost-Effective Preference Learning
[
OpenReview]
Poster
None
ZeroBench: An Impossible Visual Benchmark for Contemporary Large Multimodal Models
[
OpenReview]
Poster
None
RLSF-V: Mitigating Hallucinations in MLLMs via Fuzzy Semantic Self-Feedback
[
OpenReview]
Poster
None
DeepImageSearch: Benchmarking Multimodal Agents for Context-Aware Image Retrieval in Visual Histories
[
OpenReview]
Poster
None
Weights to Code: Extracting Interpretable Algorithms from the Discrete Transformer
[
OpenReview]
Poster
None
AgentHijack: Benchmarking Computer Use Agent Robustness to Common Environment Corruptions
[
OpenReview]
Poster
None
Breaking the Scale Barrier: One-Shot Knowledge Transfer via Frequency Transform
[
Poster]
[
OpenReview]
Poster
None
Weak Diffusion Priors Can Still Achieve Strong Inverse-Problem Performance
[
OpenReview]
Poster
None
When Diffusion Language Models Hesitate: Detecting and Correcting Visual Hallucinations via Confidence Fluctuation
[
OpenReview]
Poster
None
SLQ: Bridging Modalities via Shared Latent Queries for Retrieval with Frozen MLLMs
[
Slides]
[
Poster]
[
OpenReview]
Poster
None
IVQ: Structured and Lightweight Vector Quantization via Binary Hierarchical Composition Inspired by $\textit{IChing}$
[
OpenReview]
Poster
None
Don't Drop Dropout: Optimizing Layer Sparsity for Efficient LLM Training and Inference
[
OpenReview]
Poster
None
SCOUT: Cyclic Causal Discovery Under Soft Interventions with Unknown Targets
[
OpenReview]
Poster
None
PhyScene3D: Physically Consistent 3D Interactive Tabletop Scene Generation
[
OpenReview]
Poster
None
Outcome-Aware Spectral Feature Learning for Instrumental Variable Regression
[
OpenReview]
Poster
None
DiL: Discrete-anchored Representation Alignment for Semi-Supervised Continual Learning
[
OpenReview]
Poster
None
Sonar-TS: Search-Then-Verify Natural Language Querying for Time Series Databases
[
OpenReview]
Poster
None
OCNR: Stabilizing Self-Play by Mitigating Iteration-Collapse With One-Class Novelty Rewards
[
OpenReview]
Poster
None
Simple Unbiased Derivative Free Inference-Time Scaling for Diffusion Models via Sequential Monte Carlo on Path Measures
[
OpenReview]
Poster
None
FuseFSS: Efficient Secure LLM Inference with Function Secret Sharing
[
Poster]
[
OpenReview]
Poster
None
MetaDNS: Enhancing Exploration in Discrete Neural Samplers via Metadynamics
[
OpenReview]
Poster
None
Confidence is Not Universal: Task-Dependent Calibration and Emergent Behavior in LLMs
[
OpenReview]
Poster
None
Train Once, Reuse Everywhere: Generalizable Implicit ICL by Routing Attention
[
OpenReview]
Poster
None
HVAE: Hyperbolic Variational Autoencoder For Flexible Knowledge Transfer Across Multiple Domains
[
OpenReview]
Poster
None
Approximation of Log-Partition Function in Policy Mirror Descent Induces Implicit Regularization for LLM Post-Training
[
OpenReview]
Poster
None
Drift is a Sampling Error: SNR-Aware Power Distributions for Long-Horizon Robotic Planning
[
OpenReview]
Poster
None
Beyond Euclidean Clipping: Overcoming Exploration Collapse in LLM RL via Riemannian Isometric Policy Optimization
[
OpenReview]
Poster
None
From Associations to Activations: Comparing Behavioral and Hidden-State Semantic Geometry in LLMs
[
OpenReview]
Poster
None
BALLAST: Bayesian Active Learning with Look-ahead Amendment for Sea-drifter Trajectories under Spatio-Temporal Vector Fields
[
OpenReview]
Poster
None
Toward Scalable and Valid Conditional Independence Testing with Spectral Representations
[
OpenReview]
Poster
None
Geometric Flow Grounding: A Unified Manifold Decoupling Framework for Dynamics Discovery and Verification
[
OpenReview]
Poster
None
Rethinking Gating Mechanism in Sparse MoE: Handling Arbitrary Modality Inputs with Confidence-Guided Gate
[
OpenReview]
Poster
None
HDTree: Generative Modeling of Cellular Hierarchies for Robust Lineage Inference
[
OpenReview]
Poster
None
Compositional Perception and Generalizing Induction: Latent Compositional Manifold Assumption on Generalized Category Discovery
[
OpenReview]
Poster
None
Hugging Carbon: Quantifying the Training Carbon Emissions of AI Models at Scale
[
OpenReview]
Poster
None
Position: Beyond Prediction: Toward Verifiable Physiological Waveform Reasoning with Foundation Models and Agentic LLMs
[
OpenReview]
Poster
None
Hierarchical Representations for Cross-task Automated Heuristic Design using LLMs
[
OpenReview]
Poster
None
URS: A Unified Neural Routing Solver for Cross-Problem Zero-Shot Generalization
[
OpenReview]
Poster
None
Focusing Where Vision Matters: Selective Training for Large Vision Language Models via Visual Information Gain
[
OpenReview]
Poster
None
NeuroCLUS: A Foundation Model with Functional Clustering for Intracranial Neural Decoding
[
Poster]
[
OpenReview]
Poster
None
BOOSTAPR: Boosting Automated Program Repair via Execution-Grounded Reinforcement Learning with Dual Reward Models
[
OpenReview]
Poster
None
Reinforcement Fine-Tuning Naturally Mitigates Forgetting in Continual Post-Training
[
OpenReview]
Poster
None
Position: Evaluation of ML Resource Utilization Requires Model Life Cycle Assessment
[
OpenReview]
Poster
None
The Flexibility Trap: Rethinking the Value of Arbitrary Order in Diffusion Language Models
[
OpenReview]
Poster
None
MEC: Machine-Learning-Assisted Generalized Entropy Calibration for Semi-Supervised Mean Estimation
[
OpenReview]
Poster
None
Looking Locally: Object-Centric Vision Transformers as Foundation Models for Efficient Segmentation
[
OpenReview]
Poster
None
No Retraining at Edge: Efficient Resource-Aware Mixed-Precision Quantization via Federated Supernet Learning
[
OpenReview]
Poster
None
Hyper-LLaVA: Hyperbolic Uncertainty-aware Modality-Balanced Routing for Multimodal Continual Instruction Tuning
[
OpenReview]
Poster
None
Sentinel-VLA: A Metacognitive VLA Model with Active Status Monitoring for Dynamic Reasoning and Error Recovery
[
Poster]
[
OpenReview]
Poster
None
Unison: Benchmarking Unified Multimodal Models via Synergistic Understanding and Generation
[
OpenReview]
Poster
None
Sequential Group Composition: A Window into the Mechanics of Deep Learning
[
OpenReview]
Poster
None
Divide and Conquer: Reliable Multi-View Evidential Learning for Deepfake Detection
[
OpenReview]
Poster
None
From Knowledge to Inference: Formalizing Specialized Public Health Reasoning on GlobalHealthAtlas
[
OpenReview]
Poster
None
L-CUBE: Isolating Long-Context Capacity from Knowledge with Controllable Mutual Information Scaling
[
OpenReview]
Poster
None
Adaptive Token Refinement in Long-Tailed Large Vision-Language Models Fine-Tuning
[
OpenReview]
Poster
None
A theory of learning data statistics in diffusion models, from easy to hard
[
OpenReview]
Poster
None
Seeing is Understanding: Unlocking Causal Attention into Modality-Mutual Attention for Multimodal LLMs
[
OpenReview]
Poster
None
When Single Answer Is Not Enough: Rethinking Single-Step Retrosynthesis Benchmarks for LLMs
[
OpenReview]
Poster
None
Same Question, Different Lies: Cross-Context Consistency (C³) for Black-Box Sandbagging Detection
[
OpenReview]
Poster
None
MotionMAR: Multi-scale Auto-Regressive Human Motion Reconstruction from Sparse Observations
[
OpenReview]
Poster
None
Spectral Evolution Search: Efficient Inference-Time Scaling for Reward-Aligned Image Generation
[
OpenReview]
Poster
None
On the Entropy Dynamics in Reinforcement Fine-Tuning of Large Language Models
[
OpenReview]
Poster
None
When RL Meets Adaptive Speculative Training: A Unified Training-Serving System
[
OpenReview]
Poster
None
Grounded in Reality: Learning and Deploying Proactive LLM from Offline Logs
[
OpenReview]
Poster
None
When the Prompt Becomes Visual: Vision-Centric Jailbreak Attacks for Large Image Editing Models
[
OpenReview]
Poster
None
Position: We need to re-think the concept of “real” images.
[
Slides]
[
Poster]
[
OpenReview]
Poster
None
Proteo-R1: Thinking Foundation Models for De Novo Protein Binder Design
[
Poster]
[
OpenReview]
Poster
None
Solving Time-Dependent Differential Equations with Physical Dynamical Systems
[
OpenReview]
Poster
None
When Agents Go Rogue: Activation-Based Detection of Malicious Behaviors in Multi-Agent Systems
[
OpenReview]
Poster
None
Efficient Test-Time Scaling via Hierarchical Search and Self-Verification for Discrete Diffusion Language Models
[
OpenReview]
Poster
None
Adaptive Physics Transformer with Fused Global-Local Attention for Subsurface Energy Systems
[
OpenReview]
Poster
None
Fixed Budget is No Harder Than Fixed Confidence in Best-Arm Identification up to Logarithmic Factors
[
OpenReview]
Poster
None
Clarify Before You Draw: Proactive Agents for Robust Text-to-CAD Generation
[
OpenReview]
Poster
None
On the origin of neural scaling laws: from random graphs to natural language
[
OpenReview]
Poster
None
GenShield: Unified Detection and Artifact Correction for AI-Generated Images
[
OpenReview]
Poster
None
AudioChat: Unified Audio Storytelling, Editing, and Understanding with Transfusion Forcing
[
OpenReview]
Poster
None
Do Natural Language Interpretability Methods Convey Privileged Information?
[
OpenReview]
Poster
None
Inconsistency-Aware Minimization: Improving Generalization with Unlabeled Data
[
OpenReview]
Poster
None
Is One Layer Enough? Understanding Inference Dynamics in Tabular Foundation Models
[
OpenReview]
Poster
None
UFO: Chain-of-Evaluation for Omni-Condition Alignment in Multi-Modal Image Generation
[
OpenReview]
Poster
None
QUATRO: Query-Adaptive Trust Region Policy Optimization for LLM Fine-tuning
[
OpenReview]
Poster
None
EduMirror: Modeling Educational Social Dynamics with Value-driven Multi-agent Simulation
[
OpenReview]
Poster
None
Beyond Model Ranking: Predictability-Aligned Evaluation for Time Series Forecasting
[
OpenReview]
Poster
None
Learning Long Range Spatio-Temporal Representations over Continuous Time Dynamic Graphs with State Space Models
[
OpenReview]
Poster
None
A Tale of Two Graphs: Separating Knowledge Exploration from Outline Structure for Open-Ended Deep Research
[
OpenReview]
Poster
None
Q-SAM: Unlocking Sharpness-Aware Minimization for Generalization in Offline Reinforcement Learning
[
OpenReview]
Poster
None
OPTION: Optimal Transport–Guided Flow Matching for Incomplete and Unaligned Multi-View Clustering
[
OpenReview]
Poster
None
Didactic to Constructive: Turning Expert Solutions into Learnable Reasoning
[
OpenReview]
Poster
None
MoCo-EA: Exploiting Adversarial Mode Connectivity for Efficient Evolutionary Attacks
[
OpenReview]
Poster
None
Transformers with RL or SFT Provably Learn Sparse Boolean Functions, But Differently
[
OpenReview]
Poster
None
Towards Achieving Optimal Strong Regret and Constraint Violation via Computational Efficient Model-free RL
[
OpenReview]
Poster
None
Knowing When to Quit: A Principled Framework for Dynamic Abstention in LLM Reasoning
[
OpenReview]
Poster
None
Towards Sub-second Biological Foundation Model Infrastructure: A Quantized Consistency Diffusion Framework for Molecular Docking
[
OpenReview]
Poster
None
Unsafer in Many Turns: Benchmarking and Defending Multi-Turn Safety Risks in Tool-Using Agents
[
OpenReview]
Poster
None
Offline Preference Optimization for Rectified Flow with Noise-Tracked Pairs
[
OpenReview]
Poster
None
Sample Complexity Bounds for Robust Mean Estimation with Mean-Shift Contamination
[
OpenReview]
Poster
None
Partial Identification under High-Dimensional Potential Outcomes and Confounders via Optimal Transport
[
OpenReview]
Poster
None
Position: Quantum Program Generation Must Prioritize Validity Over Probabilistic Scaling
[
OpenReview]
Poster
None
TD-VAD: Breaking Visual Dependence in Video Anomaly Detection with Text-Driven Learning
[
Poster]
[
OpenReview]
Poster
None
$\texttt{ShaplEIG}$: Bayesian Experimental Design for Shapley Value Estimation
[
OpenReview]
Poster
None
Assistive Prompt Mediation: Evaluating Language Models Under Accessibility Constraints
[
OpenReview]
Poster
None
Minibatch Optimal Transport and Perplexity Bound Estimation in Discrete Flow Matching
[
OpenReview]
Poster
None
Label-Guided Representation Learning for Incomplete Multi-View Multi-Label Classification
[
OpenReview]
Poster
None
PhenoBrain: Phenotype-Conditioned Long-Range Communication for Multi-Modal Brain Network Analysis
[
OpenReview]
Poster
None
Position: Large Language Models Should Learn Personalized Rather Than Aggregated Human Preferences
[
OpenReview]
Poster
None
Gated Relational Alignment via Confidence-based Distillation for Efficient VLMs
[
OpenReview]
Poster
None
Causal Representation Learning with Optimal Compression and Complex Treatments
[
OpenReview]
Poster
None
A Language-Guided Bayesian Optimization for Efficient LoRA Hyperparameter Search
[
OpenReview]
Poster
None
Approximation Error Upper and Lower Bounds for Hölder Class with Transformers
[
OpenReview]
Poster
None
MLUBench: A Benchmark for Lifelong Unlearning Evaluation in MLLMs
[
Slides]
[
Poster]
[
OpenReview]
Poster
None
Compositional Transduction with Latent Analogies for Offline Goal-Conditioned Reinforcement Learning
[
OpenReview]
Poster
None
Budgeted Active Experimentation for Treatment Effect Estimation from Observational and Randomized Data
[
OpenReview]
Poster
None
Floating-Point Networks with Automatic Differentiation Can Represent Almost All Floating-Point Functions and Their Gradients
[
OpenReview]
Poster
None
Neuromem: A Granular Decomposition of the Streaming Lifecycle in External Memory for LLMs
[
OpenReview]
Poster
None
Erased but Not Forgotten: How Backdoors Compromise Concept Erasure
[
Poster]
[
OpenReview]
Poster
None
Leveraging Evidence Priors for Robust Prompt Learning under Noisy Supervision in Vision-Language Models
[
OpenReview]
Poster
None
Is Fixing Schema Graphs Necessary? Full-Resolution Graph Structure Learning for Relational Deep Learning
[
OpenReview]
Poster
None
Seeing the Unseen: Physics-as-Representation for Generalizable Gaze Perception
[
OpenReview]
Poster
None
GEM: Geometric Erasure by Contrastive Velocity Matching in Rectified Flows
[
Poster]
[
OpenReview]
Poster
None
Towards Understanding Continual Factual Knowledge Acquisition of Language Models: From Theory to Algorithm
[
OpenReview]
Poster
None
Zero-shot Active Mapping via Fused 360-BEV Representations and Vision–Language Models
[
OpenReview]
Poster
None
SARL: Structure-Aligned Reinforcement Learning for Bridging the Perception-Action Gap in Airspace
[
OpenReview]
Poster
None
Test-Time Guidance for Flow-Based Generative Models via Parallel Tempering on Source Distributions
[
OpenReview]
Poster
None
MACD: Model-Aware Contrastive Decoding via Counterfactual Data for Video-LLMs
[
OpenReview]
Poster
None
Mitigating Mask Prior Drift and Positional Attention Collapse in Large Diffusion Vision-Language Models
[
OpenReview]
Poster
None
Object-level Semantic and Spatial Distillation for Open Vocabulary Detection
[
OpenReview]
Poster
None
GTPO and GRPO-S: Token and Sequence-Level Reward Shaping with Policy Entropy
[
OpenReview]
Poster
None
Efficient Training-Free Multi-Token Prediction via Embedding-Space Probing
[
OpenReview]
Poster
None
The Choice of Normalization Influences Shrinkage in Regularized Regression
Poster
None
Episodic Memory-Guided Controllable Experience Synthesis for Reinforcement Learning
[
OpenReview]
Poster
None
LALM-as-a-Judge: Benchmarking Large Audio-Language Models for Safety Evaluation in Multi-Turn Spoken Dialogues
[
OpenReview]
Poster
None
Resolving Blind Inverse Problems under Dynamic Range Compression via Structured Forward Operator Modeling
[
OpenReview]
Poster
None
h1: Bootstrapping LLMs to Reason over Longer Horizons via Reinforcement Learning
[
OpenReview]
Poster
None
SemanticNVS: Improving Semantic Scene Understanding in Generative Novel View Synthesis
[
OpenReview]
Poster
None
Neural Vector Lyapunov–Razumikhin Certificates for Delayed Interconnected Systems
[
OpenReview]
Poster
None
Breaking Manifold Continuity: Vector Quantized Modeling for Real-Centric Deepfake Detection
[
OpenReview]
Poster
None
HypoSpace: A Diagnostic Benchmark for Set-Valued Hypothesis Generation under Underdetermination and Sublinear Coverage Bounds
[
OpenReview]
Poster
None
SPARD: Defending Harmful Fine-Tuning Attack via Safety Projection with Relevance–Diversity Data Selection
[
OpenReview]
Poster
None
Dynamics of neural scaling laws in random feature regression with powerlaw-distributed kernel eigenvalues
[
OpenReview]
Poster
None
Steady-State Behavior of Constant-Stepsize Stochastic Approximation: Gaussian Approximation and Tail Bounds
[
OpenReview]
Poster
None
Enhancing Cross-subject Emotion Recognition via Heterogeneous Distribution Augmentation and Collaborative Learning
[
OpenReview]
Poster
None
AlienLM: Alienization of Language for API-Boundary Privacy in Black-Box LLMs
[
OpenReview]
Poster
None
Discrete Diffusion Samplers and Bridges: Off-Policy Algorithms and Applications in Latent Spaces
[
OpenReview]
Poster
None
Mechanistic Data Attribution: Tracing the Training Origins of Interpretable LLM Units
[
OpenReview]
Poster
None
Pushing Forward Pareto Frontiers of Proactive Agents with Behavioral Agentic Optimization
[
OpenReview]
Poster
None
ReGen: Hierarchical Multi-Prompt Representation Generation for Efficient Waveform Diffusion Models
[
OpenReview]
Poster
None
Any-Diffusion: Unified Multimodal Understanding and Generation with Masked Discrete Diffusion
[
OpenReview]
Poster
None
CUARewardBench: Benchmark for Evaluating Reward Models on Computer-using Agent Trajectories
[
OpenReview]
Poster
None
Fair Classification with Efficient and Post-hoc Controllable Fairness-Accuracy Trade-off
[
OpenReview]
Poster
None
Context Forcing: Consistent Autoregressive Video Generation with Long Context
[
OpenReview]
Poster
None
ImpQuant: Fine-Grained Importance-Aware Quantization for Large Vision-Language Models
[
OpenReview]
Poster
None
SPUR: Scale-Partitioned Uncertainty Rectification for Robust UAV-on-UAV Interception
[
OpenReview]
Poster
None
Beyond Normalization: Rethinking the Partition Function as a Difficulty Scheduler for RLVR
[
OpenReview]
Poster
None
Embodied Interpretability: Linking Causal Understanding to Generalization in Vision-Language-Action Models
[
OpenReview]
Poster
None
Kronecker Generative Networks: A General Neural Architecture for Parameter-Efficient Learning Across Classification Tasks
[
OpenReview]
Poster
None
RePro: Training Language Models to Faithfully Recycle the Web for Pretraining
[
OpenReview]
Poster
None
What Does Vision Tool-Use Reinforcement Learning Really Learn? Disentangling Tool-Induced and Intrinsic Effects for Crop-and-Zoom
[
OpenReview]
Poster
None
Focus, Align, and Sustain: Counteracting Gradient Dilution in Incremental Object Detection
[
OpenReview]
Poster
None
StableVLA: Towards Robust Vision-Language-Action Models without Extra Data
[
OpenReview]
Poster
None
Policy-Driven World Model Adaptation for Robust Offline Model-based Reinforcement Learning
[
OpenReview]
Poster
None
Structured Multi-step Jailbreaking under a Hamiltonian Generative Formulation
[
OpenReview]
Poster
None
Faithful Relational Reasoning with Region-based Embeddings: Expressivity of Convex Coordinate-wise Models
[
OpenReview]
Poster
None
What if Tomorrow is the World Cup Final? Counterfactual Time Series Forecasting with Textual Conditions
[
OpenReview]
Poster
None
TPGDiff : Hierarchical Triple-Prior Guided Diffusion for Image Restoration
[
OpenReview]
Poster
None
SpanNorm: Reconciling Training Stability and Performance in Deep Transformers
[
OpenReview]
Poster
None
Breaking Multi-Task Curse: Reward-Weighted Evolution for Black-Box Many-Task Optimization
[
OpenReview]
Poster
None
Beyond Looking Up, Try Looking Around: Harmonizing Global Structure and Local Consistency in Optimal Transport for Short Text Clustering
[
Poster]
[
OpenReview]
Poster
None
Model Monotonicity in Autobidding Auctions: When Do Better Predictions Lead to Better Outcomes?
[
OpenReview]
Poster
None
Sharp description of local minima in the loss landscape of high-dimensional two-layer ReLU neural networks
[
OpenReview]
Poster
None
Symmetry Reveals the In-Context Classifier: Transformers Implement Mean-Shift Dynamics
[
OpenReview]
Poster
None
Position: Adopting AI in Practice Does Not Guarantee the Productivity Boost
[
OpenReview]
Poster
None
Di-BiLPS: Denoising induced Bidirectional Latent-PDE-Solver under Sparse Observations
[
OpenReview]
Poster
None
Automated Formal Proofs of Combinatorial Identities via Wilf–Zeilberger Guidance and LLMs
[
OpenReview]
Poster
None
Navigating the Energy Landscape of Collaboration: Multi-Agent Communication Graph Generation via Score-Based Diffusion
[
OpenReview]
Poster
None
Distribution Alignment for One-Shot Federated Learning via Optimal Transport
[
OpenReview]
Poster
None
Amodal Instance Segmentation with IRAIS Dataset for Sim-to-Real Transfer
[
Poster]
[
OpenReview]
Poster
None
Decoy for the Judge: Disrupting Multi-Turn Jailbreaks using Semantics-Preserving Output Rewriting
[
OpenReview]
Poster
None
DIVE: Scaling Diversity in Agentic Task Synthesis for Generalizable Tool Use
[
OpenReview]
Poster
None
Beyond Majority Voting: Self-Reflective Test-Time Reinforcement Learning for LLM Reasoning
[
OpenReview]
Poster
None
FlowCloud: Learning Continuous Spatiotemporal Dynamics from Unpaired Sparse Point Cloud Snapshots
[
OpenReview]
Poster
None
GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization
[
OpenReview]
Poster
None
Escaping Whack-a-Mole: Code Documentation Optimization via Dependency-Guided Bi-level Search
[
OpenReview]
Poster
None
Do We Need Adam? Surprisingly Strong and Sparse Reinforcement Learning with SGD in LLMs
[
OpenReview]
Poster
None
Meerkat-VL: Implicit Risk Safety Alignment in Multimodal LLMs via Perceptual Reasoning and Self-Verification
[
OpenReview]
Poster
None
Functional Equivalence in Attention: A Comprehensive Study with Applications to Linear Mode Connectivity
[
OpenReview]
Poster
None
ToolOrchestra: Elevating Intelligence via Efficient Model and Tool Orchestration
[
OpenReview]
Poster
None
CPMöbius: Iterative Coach–Player Reasoning for Data-Free Reinforcement Learning
[
OpenReview]
Poster
None
OPUS: Towards Efficient and Principled Data Selection in Large Language Model Pre-training in Every Iteration
[
OpenReview]
Poster
None
Open-o3-Video: Grounded Video Reasoning with Explicit Spatio-Temporal Evidence
[
OpenReview]
Poster
None
Neural Honeytrace: Plug&Play Watermarking Framework against Model Extraction Attacks
[
OpenReview]
Poster
None
MiniAppBench: Evaluating the Shift from Text to Interactive HTML Responses in LLM-Powered Assistants
[
OpenReview]
Poster
None
Separating representation from reconstruction enables scalable text encoders
[
OpenReview]
Poster
None
Correcting Overparameterization Effects in Fair Empirical Risk Minimization
[
OpenReview]
Poster
None
WorldPlay: Towards Long-Term Geometric Consistency for Real-Time Interactive World Modeling
[
OpenReview]
Poster
None
Time-PEFT: Temporal and Multichannel Complexity-Based Fine-Tuning for Time-Series Foundation Models
[
OpenReview]
Poster
None
Learning Compressed Shape-Aware Molecular Representations for Virtual Screening
[
OpenReview]
Poster
None
Beyond Tokens: Enhancing RTL Quality Estimation via Structural Graph Learning
[
OpenReview]
Poster
None
Position: Accountable Deployment of Agentic AI Demands Layered, System-Level Interpretability
[
OpenReview]
Poster
None
Feed-Forward Taylor-Gaussians-Flow: Towards Non-uniform Motion for Novel View Synthesis from Monocular Video
[
OpenReview]
Poster
None
A Minimax Approach for Optimal Intervention Policy Learning with Two-Stage Outcomes
[
OpenReview]
Poster
None
When Simple Problems Wear Complex Costumes: Improving Efficiency in LRM’s Adaptive Reasoning
[
OpenReview]
Poster
None
Catch-22: On the Fundamental Tradeoff Between Detectability and Robustness in LLM Watermarking
[
OpenReview]
Poster
None
Tight Margin-Based Generalization Bounds for Voting Classifiers over Finite Hypothesis Sets
[
OpenReview]
Poster
None
The Interplay Between Interpolation and Aggregation in Regression: Optimal Sample Complexity
[
OpenReview]
Poster
None
Efficient Multi-modal Dataset Distillation via Analytic Parameter Matching
[
OpenReview]
Poster
None
Contrastive Reasoning Alignment: Reinforcement Learning from Hidden Representations
[
OpenReview]
Poster
None
An Exponential Separation Between Quantum and Quantum-Inspired Classical Algorithms for Linear Systems
[
OpenReview]
Poster
None
Practical Mechanism for Fault-Tolerant Spiking Neural Networks via Simple Input Control Based on Learnable Fragmentation
[
Slides]
[
Poster]
[
OpenReview]
Poster
None
Improving the Sensitivity of Backdoor Detectors via Class Subspace Orthogonalization
[
OpenReview]
Poster
None
RL-SPH: Learning to Achieve Feasible Solutions for Integer Linear Programs
[
OpenReview]
Poster
None
LiteVSR: Enabling Cross-Domain Fine-Grained Detail Generation in Light-Weight Transformers for Video Super-Resolution
[
OpenReview]
Poster
None
Similarity Is Not Logic: Factored Inference for Dual-Encoder Vision-Language Models
[
OpenReview]
Poster
None
When Planning Fails Despite Correct Execution: On Epistemic Calibration for LLM-Based Multi-Agent Systems
[
OpenReview]
Poster
None
Attention Illuminates LLM Reasoning: The Uncovered Preplan-and-Anchor Rhythm Enables Fine-Grained Policy Optimization
[
OpenReview]
Poster
None
WinQ: Accelerating Quantization-Aware Training of Large Language Models around Saddle Points
[
OpenReview]
Poster
None
Adversarial Robustness of Implicit Neural Representation-Based Classifiers
[
OpenReview]
Poster
None
Seeing Without Understanding: Disentangling Perception, Reasoning, and Simulation in VLM Gameplay
[
OpenReview]
Poster
None
CURVE: Learning Causality-Inspired Invariant Representations for Robust Scene Understanding via Uncertainty-Guided Regularization
[
OpenReview]
Poster
None
Keeping a Secret Requires a Good Memory: Space Lower-Bounds for Private Algorithms
[
OpenReview]
Poster
None
LOTTERY: Learning from Reference-Only Samples in Two-Sample Testing under Size Asymmetry
[
OpenReview]
Poster
None
Do You Want to Know if Two Distributions Are Close to Each Other?Testing the Closeness With Statistical Significance
[
OpenReview]
Poster
None
On the Interaction of Batch Noise, Adaptivity, and Compression, under $(L_0,L_1)$-Smoothness: An SDE Approach
[
OpenReview]
Poster
None
Exposing Vulnerabilities in Explanation for Time Series Classifiers via Dual-Target Attacks
[
OpenReview]
Poster
None
HERMES: Towards Efficient and Verifiable Mathematical Reasoning in LLMs
[
Poster]
[
OpenReview]
Poster
None
Revisiting Uncertainty: On Evidential Learning for Partially Relevant Video Retrieval
[
OpenReview]
Poster
None
From Internal Diagnosis to External Auditing: A VLM-Driven Paradigm for Data-Free Online Backdoor Defense
[
OpenReview]
Poster
None
The Deterministic Horizon: When Extended Reasoning Fails and Tool Delegation Becomes Necessary
[
OpenReview]
Poster
None
Minimizing Upper Confidence Bounds: A Data-Driven Framework for Stochastic Programming
[
Slides]
[
Poster]
[
OpenReview]
Poster
None
Spherical Procrustes Alignment for Reliable Medical Audio Diagnosis
[
Poster]
[
OpenReview]
Poster
None
Cascaded Flow Matching for Heterogeneous Tabular Data with Mixed-Type Features
[
OpenReview]
Poster
None
Push, Pop, Parallelize: Stack-Augmented Linear Attention via the Delta Rule
[
OpenReview]
Poster
None
Imitation Learning for Multi-turn LM Agents via On-policy Expert Corrections
[
OpenReview]
Poster
None
Bridging the Knowledge-Prediction Gap in LLMs on Multiple-Choice Questions
[
OpenReview]
Poster
None
KAGE-Bench: Fast Known-Axis Visual Generalization Evaluation for Reinforcement Learning
[
OpenReview]
Poster
None
Plasticity Activation via Polar Operator: A Plug-in Method for Balancing Stability and Plasticity
[
OpenReview]
Poster
None
DeFacto: Counterfactual Thinking with Images for Enforcing Evidence-Grounded and Faithful Reasoning
[
OpenReview]
Poster
None
Stochastic Order Learning: An Approach to Rank Estimation Using Noisy Data
[
OpenReview]
Poster
None
The benefits of full data shuffle, now with optimal I/O cost: $k$-wise independence and matrix transposition to the rescue
[
OpenReview]
Poster
None
DistMatch: Adaptive Binning via Distribution Matching for Robust Sequential Conformal Prediction
[
OpenReview]
Poster
None
Baguan-TS: dual in-context learning model for time series forecasting with covariates
[
OpenReview]
Poster
None
SALAAD: Sparse And Low-Rank Adaptation via ADMM for Large Language Model Inference
[
OpenReview]
Poster
None
Kuramoto Oscillatory Phase Encoding: Neuro-inspired Synchronization for Improved Learning Efficiency
[
OpenReview]
Poster
None
Neural QAOA$^2$: Differentiable Joint Graph Partitioning and Parameter Initialization for Quantum Combinatorial Optimization
[
OpenReview]
Poster
None
GUDA: Counterfactual Group-wise Training Data Attribution for Diffusion Models via Unlearning
[
OpenReview]
Poster
None
ProAct: A Benchmark and Multimodal Framework for Structure-Aware Proactive Response
[
OpenReview]
Poster
None
EcoVLA: Environment-Aware Adaptive Pruning with Interleaved Inference Orchestration for Vision-Language-Action Models
[
OpenReview]
Poster
None
QPoint: End-to-End Lightweight Point Cloud Processing via Robust Quaternion Feature Learning
[
OpenReview]
Poster
None
Generative Large Neighborhood Search: Scalable Set Cover Optimization via Discrete Diffusion
[
OpenReview]
Poster
None
EgoTactile: Learning Grasp Pressure for Everyday Objects from Egocentric Video
[
OpenReview]
Poster
None
SpikeNet: Sparse Spike-Driven Mask Vector Transformer for Energy-Efficient and Stable Spiking Point Cloud Processing
[
OpenReview]
Poster
None
UniScale: Adaptive Unified Inference Scaling via Online Joint Optimization of Model Routing and Test-Time Scaling
[
OpenReview]
Poster
None
Learning Multi-Scale Hypergraph for High-Order Brain Connectivity Analysis
[
OpenReview]
Poster
None
A Spiking Heterogeneous Harmonic Resonate-and-Fire State Space Model for Time Series
[
OpenReview]
Poster
None
KUMA: A Novel Framework with Koopman Separation and Efficient Multilevel Extraction in Time Series Forecasting
[
OpenReview]
Poster
None
Regularized Offline Policy Optimization with Posterior Hybrid Bayesian Belief
[
OpenReview]
Poster
None
Unified Time Series Explanations via Semi-Amortized Optimization and Instance-level Multi-Expert Knowledge Distillation
[
OpenReview]
Poster
None
Provably Efficient Policy-Reward Co-Pretraining for Adversarial Imitation Learning
[
OpenReview]
Poster
None
Efficient and Uncertainty-Aware Diffusion Framework for Offline-to-Online Reinforcement Learning
[
OpenReview]
Poster
None
FiSeR: Fine-Grained Source Representations for Cross-Domain AI Image Detection
[
OpenReview]
Poster
None
Unsupervised Mode Discovery for Fine-tuning Multimodal Generative Policies
[
OpenReview]
Poster
None
Kinematics-Driven Gaussian Shape Deformation for Blurry Monocular Dynamic Scenes
[
Poster]
[
OpenReview]
Poster
None
Multi-agent imitation learning with function approximation: linear Markov games and beyond
[
OpenReview]
Poster
None
IVQA-LD: Inclusive Multimodal Understanding for Population with Limb-Deficiency
[
OpenReview]
Poster
None
Contrastive Diffusion Alignment: Learning Structured Latents for Controllable Generation
[
OpenReview]
Poster
None
Beyond Trajectory-Level Attribution: Graph-Based Credit Assignment for Agentic Reinforcement Learning
[
OpenReview]
Poster
None
RiboSphere: Learning Unified and Efficient Representations of RNA Structures
[
OpenReview]
Poster
None
Geometry-Correct Diffusion Posterior Sampling with Denoiser-Pullback Curvature Guidance and Manifold-Aligned Damping
[
OpenReview]
Poster
None
LaST$_{0}$: Latent Spatio-Temporal Chain-of-Thought for Robotic Vision-Language-Action Model
[
OpenReview]
Poster
None
Stability and Generalization of Nonconvex Optimization with Heavy-Tailed Noise
[
OpenReview]
Poster
None
In-Context Generation with Regional Constraints for Instructional Video Editing
[
OpenReview]
Poster
None
Multi-Accurate CATE is Robust to Unknown Covariate Shifts
Poster
None
SLIM: Secure and Efficient Inference for Large Language Models on Untrusted Devices via TEEs
[
OpenReview]
Poster
None
Spurious Correlation Learning in Preference Optimization: Mechanisms, Consequences, and Mitigation via Tie Training
[
OpenReview]
Poster
None
SAGE-NAS: Synergizing LLM-Based Semantic Agent with Graph-Based Evaluator for Neural Architecture Search
[
OpenReview]
Poster
None
PISCES: Annotation-free Text-to-Video Post-Training via Optimal Transport-Aligned Rewards
[
OpenReview]
Poster
None
SOTAlign: Semi-Supervised Alignment of Unimodal Vision and Language Models via Optimal Transport
[
OpenReview]
Poster
None
Inference-time optimization for experiment-grounded protein ensemble generation
[
OpenReview]
Poster
None
Causal Effect Identifiability in the Presence of Latent Confounders Without Auxiliary Variables
[
OpenReview]
Poster
None
Efficient numeracy in language models through single-token number embeddings
[
OpenReview]
Poster
None
Controlling the Risk of Corrupted Contexts for Language Models via Early-Exiting
[
OpenReview]
Poster
None
CLEAR: Context-Aware Learning with End-to-End Mask-Free Inference for Adaptive Subtitle Removal
[
OpenReview]
Poster
None
A Regime-Aware Trajectory Prediction Framework for 1000+ Systems Biology Models
[
Slides]
[
OpenReview]
Poster
None
A Tale of Two Problems: Multi-Task Bilevel Learning Meets Equality Constrained Multi-Objective Optimization
[
Slides]
[
OpenReview]
Poster
None
DART: Distribution-Aware Adaptive Relational Transfer for Adversarial Attacks against Closed-Source MLLMs
[
OpenReview]
Poster
None
From Abstraction to Instantiation: Learning Behavioral Representation for Vision-Language-Action Model
[
OpenReview]
Poster
None
Safety Generalization Under Distribution Shift in Safe Reinforcement Learning: A Diabetes Testbed
[
OpenReview]
Poster
None
SS‑TPT: Stability and Suitability-Guided Test-Time Prompt Tuning for Adversarially Robust Vision-Language Models
[
Poster]
[
OpenReview]
Poster
None
CLIP Tricks You: Training-free Token Pruning for Efficient Pixel Grounding in Large Vision-Language Models
[
Slides]
[
OpenReview]
Poster
None
MALICE: Memory-aware Loop Invariants Generation on Symbolic Execution Traces
[
OpenReview]
Poster
None
Alternating Reinforcement Learning for Rubric-Based Reward Modeling in Non-Verifiable LLM Post-Training
[
OpenReview]
Poster
None
CodeMamba: Shifting from Target Semantics to Self-Supervised Background Manifold Learning for Singularity Detection in Infrared Sequences
[
OpenReview]
Poster
None
Distortion of AI Alignment Revisited: RLHF is a Decent Utilitarian Aligner
[
OpenReview]
Poster
None
Posterior Behavioral Cloning: Pretraining BC Policies for Efficient RL Finetuning
[
OpenReview]
Poster
None
Event2Vec: Processing neuromorphic events directly by representations in vector space
[
OpenReview]
Poster
None
Disentangling Consensus and Value-Specific Representations for Controllable Pluralistic Value Alignment of LLMs
[
OpenReview]
Poster
None
SafeDec: Constrained Decoding for Safe Autoregressive Generalist Robot Navigation Policies
[
OpenReview]
Poster
None
On the Theory of Continual Learning with Gradient Descent for Neural Networks
[
OpenReview]
Poster
None
From Extrinsic to Intrinsic: Geodesic-Guided Representation Learning for 3D Geometric Data
[
OpenReview]
Poster
None
iWorld-Bench: A Benchmark for Interactive World Models with a Unified Action Generation Framework
[
OpenReview]
Poster
None
Breaking the Reversal Curse in Autoregressive Language Models via Identity Bridge
[
OpenReview]
Poster
None
Q-DiT4SR: Exploration of Detail-Preserving Diffusion Transformer Quantization for Real-World Image Super-Resolution
[
OpenReview]
Poster
None
Unsupervised Camouflaged Object Detection with Dual-Eigenvector Spectral Pseudo-Labeling and Contrastive Refinement
[
OpenReview]
Poster
None
DOUBT: Decoupled Object-level Understanding and Bridging via vMF-based Trustworthiness for Hallucination Detection in MLLMs
[
OpenReview]
Poster
None
Distinguishable Deletion: Unifying Knowledge Erasure and Refusal for Large Language Model Unlearning
[
Poster]
[
OpenReview]
Poster
None
Beyond Point Predictions: Manifold Expansion and Dual Alignment for Robust Time Series Distillation
[
OpenReview]
Poster
None
Mitigating Translationese Bias in Multilingual LLM-as-a-Judge via Disentangled Information Bottleneck
[
OpenReview]
Poster
None
$\mathcal{O}(\log N)$ Latent Dimension Suffices for Universal Approximation of Permutation-invariant Function
[
OpenReview]
Poster
None
MDGMIX: Boundary-Aware Subgraph Mixing for Multi-Domain Graph Pre-Training
[
OpenReview]
Poster
None
Ripple Perturbations Through Structure: Likelihood-Constrained Adversarial Attacks on Heterogeneous Tabular Data
[
Slides]
[
Poster]
[
OpenReview]
Poster
None
MultiHal: Multilingual Dataset for Knowledge-Graph Grounded Evaluation of LLM Hallucinations
[
OpenReview]
Poster
None
From Absolute to Relative: Rethinking Reward Shaping in Group-Based Reinforcement Learning
[
OpenReview]
Poster
None
L2G-NET: Local to Global Spectral Graph Neural Networks via Cauchy Factorizations
[
OpenReview]
Poster
None
Can LLMs Reason Structurally? Benchmarking via the lens of Data Structures
[
OpenReview]
Poster
None
Invariant Representation Learning for Source-Free Time Series Forecasting with LLM-Centric Proxy Denoising
[
OpenReview]
Poster
None
SpatialJB: How Text Distribution Art Becomes The "Jailbreak Key" for LLM Guardrails
[
OpenReview]
Poster
None
Last-Iterate Convergence of Regularized Gradient Methods for Stochastic Monotone Variational Inequalities
[
OpenReview]
Poster
None
Temporal Difference Learning with Compressed Updates: Error-Feedback meets Reinforcement Learning
Poster
None
Bridging Time and Frequency: A Joint Modeling Framework for Irregular Multivariate Time Series Forecasting
[
OpenReview]
Poster
None
Bio-Vision-Inspired Spiking Neural Networks for Object Detection with Event Cameras
[
OpenReview]
Poster
None
Towards Reliable Marking and Verification of AI-Generated Text via Geometry-aware Sentence-level Watermarking
[
OpenReview]
Poster
None
Bridging the Gap in Autonomous Science: The Corpus and Benchmark for Biological Protocol Reasoning
[
OpenReview]
Poster
None
Learning Rate Annealing Improves Tuning Robustness in Stochastic Optimization
[
OpenReview]
Poster
None
Flat Minima and Generalization: Insights from Stochastic Convex Optimization
[
OpenReview]
Poster
None
Var-JEPA: Variational Joint-Embedding Predictive Architecture – Bridging Predictive and Generative Self-Supervised Learning
[
OpenReview]
Poster
None
Towards Fully Parameter-Free Stochastic Optimization: Grid Search with Self-Bounding Analysis
[
OpenReview]
Poster
None
MTNL: A Unified Modeling Perspective for Enhancing Tensor Network Learning
[
OpenReview]
Poster
None
Greedy Coordinate Diffusion: Effective and Semantically Coherent Adversarial Attacks via Diffusion Guidance
[
OpenReview]
Poster
None
Optimal Learning from Label Proportions with General Loss Functions
[
Poster]
[
OpenReview]
Poster
None
JAEGER: Joint 3D Audio-Visual Grounding and Reasoning in Simulated Physical Environments
[
OpenReview]
Poster
None
Remove the Ambiguity: Few-shot Multimodal Anomaly Detection Using Crossmodal Feature Replacers
[
OpenReview]
Poster
None
Optimization Dynamics of Equivariant and Augmented Neural Networks
Poster
None
Think-Then-Generate: Reasoning-Aware Text-to-Image Diffusion with LLM Encoders
[
OpenReview]
Poster
None
Robust Inter-Series Dependency Modeling for Time Series Forecasting via Information-Theoretic Alignment
[
Poster]
[
OpenReview]
Poster
None
GCIB: Graph Contrastive Information Bottleneck for Multi-Behavior Recommendation
[
OpenReview]
Poster
None
Learning Manifold and Itô Dynamics with Branched Neural Rough Differential Equations
[
OpenReview]
Poster
None
Long Grounded Thoughts: Synthesizing Grounded Visual Problems and Distilling Reasoning Chains at Scale
[
OpenReview]
Poster
None
Experience is the Best Teacher: Motivating Effective Exploration in Reinforcement Learning for LLMs
[
OpenReview]
Poster
None
CGSVD: Cascaded Granular Singular Value Decomposition for Large Language Model Compression
[
OpenReview]
Poster
None
Replay Failures as Successes: Sample-Efficient Reinforcement Learning for Instruction Following
[
OpenReview]
Poster
None
Less is More: Geometric Unlearning for LLMs with Minimal Data Disclosure
[
Poster]
[
OpenReview]
Poster
None
From Text to Forecasts: Bridging Modality Gap with Temporal Evolution Semantic Space
[
OpenReview]
Poster
None
SegPVSG: Panoptic Video Scene Graph Generation via Temporal Focusing and Generative Augmentation
[
OpenReview]
Poster
None
Unified Multimodal Autoregressive Modeling with Shared Context—Visual Tokenizer is Key to Unification
[
OpenReview]
Poster
None
AgentExpt: Automating AI Experiment Design with LLM-based Resource Retrieval Agent
[
OpenReview]
Poster
None
Regularized Discriminative Alignment for Deep Representations under Label Shift
[
OpenReview]
Poster
None
RLCracker: Evaluating the Worst-Case Vulnerability of LLM Watermarks with Adaptive RL Attacks
[
Poster]
[
OpenReview]
Poster
None
Multi-Integration of Labels across Categories for Component Identification (MILCCI)
[
OpenReview]
Poster
None
NanoSpec: Accelerating Speculative Decoding using Minimalist In-Context Vocabularies
[
OpenReview]
Poster
None
Memoria-Bench: A Comprehensive Benchmark for Evaluating Memory in Long-Horizon Autonomous Agents
[
OpenReview]
Poster
None
Stabilizing PPO via Latent-Space Regularization and KDE-Driven Exploration
[
OpenReview]
Poster
None
Real-Time Monitoring and Calibration of Chain-of-Thought Sycophancy in Large Reasoning Models
[
OpenReview]
Poster
None
PASA: A Principled Embedding-Space Watermarking Approach for LLM-Generated Text under Semantic-Invariant Attacks
[
OpenReview]
Poster
None
Data Provenance Auditing of Fine-Tuned Large Language Models with a Text-Preserving Technique
[
OpenReview]
Poster
None
Attention Sink Forges Native MoE in Attention Layers: Sink-Aware Training to Address Head Collapse
[
OpenReview]
Poster
None
Two Calm Ends and the Wild Middle: A Geometric Picture of Memorization in Diffusion Models
[
OpenReview]
Poster
None
Learning with Admissibility: Robust Fuzzy Hashing for Cross-Modal Retrieval with Noisy Labels
[
OpenReview]
Poster
None
ReasonEdit: Editing Vision--Language Models using Human Reasoning
[
Slides]
[
Poster]
[
OpenReview]
Poster
None
DRIVE: Distributional and Retrieval-Augmented Bidding with Value Evaluation
[
OpenReview]
Poster
None
Hyperbolic Hierarchical Alignment for Video-Based Visible-Infrared Person Re-Identification
[
OpenReview]
Poster
None
Correspondence Cognitive Learning for Multi-Modal Object Re-Identification
[
OpenReview]
Poster
None
MIST: Moment-Aligned Invariant Stability Transform for Robust Flow Matching
[
OpenReview]
Poster
None
Ariadne's Thread of LipSync: Unraveling Forgeries via Inconsistency between Lip Motions and Head Poses
[
OpenReview]
Poster
None
TokenRatio: Principled Token-Level Preference Optimization via Ratio Matching
[
OpenReview]
Poster
None
Towards Steering without Sacrifice: Principled Training of Steering Vectors for Prompt-only Interventions
[
OpenReview]
Poster
None
VR-Thinker: Boosting Multimodal Reward Models through Think with Image Reasoning
[
OpenReview]
Poster
None
A Recursive Decomposition Framework for Causal Structure Learning in the Presence of Latent Variables
[
OpenReview]
Poster
None
Negatives-Dominant Contrastive Learning for Generalization in Imbalanced Domains
[
Poster]
[
OpenReview]
Poster
None
EAKV: An Entropy-Driven Adaptive KV Compression Framework for Long Video Understanding
[
OpenReview]
Poster
None
Expert Routing with Synthetic Data for Domain Incremental Learning
Poster
None
XRPO: Pushing the Limits of GRPO with Targeted Exploration and Exploitation
[
OpenReview]
Poster
None
Position: We Need Practical AI Alignment Methods that Mirror Human Reasoning
[
OpenReview]
Poster
None
Open-Text Aerial Detection: A Unified Framework For Aerial Visual Grounding And Detection
[
OpenReview]
Poster
None
Semi-Supervised Learning with Noisy Covariates: Generalization Bounds and Distribution Regression
[
OpenReview]
Poster
None
Mitigating Manifold Departure: Uncertainty-aware Subspace Rectification for Trustworthy MLLM Decoding
[
OpenReview]
Poster
None
MASPOB: Bandit-Based Prompt Optimization for Multi-Agent Systems with Graph Neural Networks
[
OpenReview]
Poster
None
Prism-MoE: Efficient Dense-to-MoE Conversion for Visual Autoregressive Generation
[
OpenReview]
Poster
None
FlatLab: A Unified Methodology Framework and Simulation-Based Benchmark for Robotic Manipulation of Flat Objects
[
OpenReview]
Poster
None
What Information Matters? Graph Out-of-Distribution Detection via Tri-Component Information Decomposition
[
OpenReview]
Poster
None
G$^2$RPO: Geometric GRPO; Escaping LLM's Reasoning Rut to Break Accuracy--Entropy Trade-off
[
OpenReview]
Poster
None
GFMate: Empowering Graph Foundation Models with Pre-training-agnostic Test-time Prompt Tuning
[
OpenReview]
Poster
None
Break the Block: Dynamic-size Reasoning Blocks for Diffusion Large Language Models via Monotonic Entropy Descent with Reinforcement Learning
[
OpenReview]
Poster
None
Cardio-mmFlow: A Gaussian-Prior-Free Physics-Informed Flow Matching Framework for Electrocardiogram to mmWave Radar Synthesis.
[
OpenReview]
Poster
None
CyberCycle: Scalable Real-World Benchmark for AI Agents' End-to-End Cybersecurity Capabilities
[
OpenReview]
Poster
None
RMNP: Row-Momentum Normalized Preconditioning for Scalable Matrix-Based Optimization
[
OpenReview]
Poster
None
Return-to-Go Is More Than a Number: Q-Guided Alignment for Return-Conditioned Supervised Learning
[
OpenReview]
Poster
None
OPIC: Enhancing Language Model Merging via Optimizing In-Context Capability
[
OpenReview]
Poster
None
Uncertainty-Guided Exploration and Stable Planning for Sparse-Reward Manipulation from Limited Demonstrations
[
OpenReview]
Poster
None
Understanding Performance Collapse in Layer-Pruned Large Language Models via Decision Representation Transitions
[
OpenReview]
Poster
None
Causal Disentangled Anchor Learning for Scalable Fair Multi-view Clustering
[
OpenReview]
Poster
None
Localizing Memorized Regions in Diffusion Models via Coordinate-Wise Curvature Differences
[
OpenReview]
Poster
None
WET: Mitigating World-Conditioned Knowledge Conflicts via World Entropy Tethering
[
OpenReview]
Poster
None
Neural Implicit Action Fields: From Discrete Waypoints to Continuous Functions for Vision-Language-Action Models
[
OpenReview]
Poster
None
HALO: A Unified Vision-Language-Action Model for Embodied Multimodal Chain-of-Thought Reasoning
[
OpenReview]
Poster
None
LARFT: Closing the Cognition-Action Gap for Length Instruction Following in Large Language Models
[
OpenReview]
Poster
None
See First, Reason Later: Mutual Information-Guided Reinforcement Learning for Vision-Language Models
[
OpenReview]
Poster
None
EqGINO: Equivariant Geometry-Informed Fourier Neural Operators for 3D Partial Differential Equations
[
OpenReview]
Poster
None
[CLS] is Not Enough: Multi-Label Recognition via Patch-Level Inference and Adaptive Aggregation
[
OpenReview]
Poster
None
Return-Aligned Decision Transformer
Poster
None
Optimal Statistical Guarantees for Diffusion Models on Low-Dimensional, Multi-Modal Data
[
OpenReview]
Poster
None
The Obfuscation Atlas: Mapping Where Honesty Emerges in RLVR with Deception Probes
[
OpenReview]
Poster
None
Dimension-free convergence of diffusion models for approximate Gaussian mixtures
[
OpenReview]
Poster
None
The Truth Stays in the Family: Enhancing Contextual Truthfulness via Inherited Heads in Model Lineages
[
OpenReview]
Poster
None
Understanding Data Temporality Impact on Large Language Models Pre-training
[
OpenReview]
Poster
None
From Noise to Intent: Anchoring Generative VLA Policies with Residual Bridges
[
OpenReview]
Poster
None
Rethinking Pretraining Data Detection for LLMs: From Local to Global
[
Poster]
[
OpenReview]
Poster
None
GI-GCN: Global Interacted Graph Convolutional Networks via Dominant Sets for Graph Classification
[
OpenReview]
Poster
None
BM^2: Coupled Schrödinger Bridge Matching
Poster
None
Improving CLIP Adaptation by Breaking Tail Alignment for Source-Free Cross-Domain Few-Shot Learning
[
OpenReview]
Poster
None
Hom-PGD+: Fast Reparameterized Optimization over Non-convex Ball-Homeomorphic Set
[
OpenReview]
Poster
None
scChord: A Probabilistic Manifold Rectification Framework for RNA-to-Protein Translation
[
Poster]
[
OpenReview]
Poster
None
Thinking in Latent Space: Progressive Multimodal Simplification for Visual Reasoning
[
OpenReview]
Poster
None
Layer-wise Gradient Disentanglement: Decoupling Semantics and Preferences in Direct Preference Optimization
[
OpenReview]
Poster
None
Dual Mechanisms of Value Expression: Intrinsic vs. Prompted Values in Large Language Models
[
OpenReview]
Poster
None
MECAT: A Multi-Experts Constructed Benchmark for Fine-Grained Audio Understanding Tasks
[
OpenReview]
Poster
None
Hierarchical Decision Making with Structured Policies: A Principled Design via Inverse Optimization
[
OpenReview]
Poster
None
Mitigating Plasticity Loss through Architectural Design in Continual Learning
[
OpenReview]
Poster
None
Leveraging Lineage Barcodes as Natural Augmentations for Contrastive Learning of Cell Fate in scRNA-seq Data
[
OpenReview]
Poster
None
SJD-SV: Speculative Jacobi Decoding with Semantics Verification for Autoregressive Image Generation
[
Poster]
[
OpenReview]
Poster
None
DPO Unchained: Your Training Algorithm is Secretly Disentangled in Human Choice Theory (and Its Loss' Convexity is Dispensable)
[
OpenReview]
Poster
None
ExSkill: Continual Learning from Experience and Skills in Multimodal Agents
[
OpenReview]
Poster
None
ASTRA: Communication-Efficient Acceleration for Multi-Device Transformer Inference
[
OpenReview]
Poster
None
Learning Flexible Generalization in Video Quality Assessment by Bringing Device and Viewing Condition Distributions
[
OpenReview]
Poster
None
ConsMSA: Semantic Distribution Consistency Learning for Multimodal Sentiment Analysis
[
OpenReview]
Poster
None
GeoMoLa: Geometry-Aware Motion Latents for Learning Robust Manipulation Policies
[
OpenReview]
Poster
None
TrustworthyQENN: A Quantum Evidential Neural Network Based on Complex-Valued Contrastive Learning for Uncertainty Pattern Classification
[
OpenReview]
Poster
None
GenCircuit-RL: Reinforcement Learning from Hierarchical Verification for Genetic Circuit Design
[
OpenReview]
Poster
None
Reflex: Real-Time Vision-Language-Action Control through Streaming Inference
[
OpenReview]
Poster
None
STARCaster: Spatio-Temporal AutoRegressive Video Diffusion for Identity- and View-Aware Talking Portraits
[
OpenReview]
Poster
None
Temporal Weighted Encoding: Towards Maximal-Capacity Spike Coding for ANN–SNN Conversion
[
OpenReview]
Poster
None
GAE: Unleashing Physical Potential of VLM with Generalizable Action Expert
[
OpenReview]
Poster
None
STABLE: Simulation-Ready Tabletop Layout Generation via a Semantics–Physics Dual System
[
OpenReview]
Poster
None
Position: the Stochastic Parrot in the Coal Mine. Model Collapse is a Threat to Low-Resource Communities
[
OpenReview]
Poster
None
$E^2$PO: Embedding-perturbed Exploration Preference Optimization for Flow Models
[
OpenReview]
Poster
None
Modeling temporal scRNA-seq data with latent Gaussian process and optimal transport
[
OpenReview]
Poster
None
Setting the Record Straight on Transformer Oversmoothing
Poster
None
Dynamic Symmetric Point Tracking: Tackling Non-ideal Reference in Analog In-memory Training
[
OpenReview]
Poster
None
SSR-Merge: Subspace Signal Routing for Training-Free LoRA Merging in Diffusion Models
[
OpenReview]
Poster
None
Tempora: Characterising the Time-Contingent Utility of Online Test-Time Adaptation
[
OpenReview]
Poster
None
DLEBench: Evaluating Small-scale Object Editing Ability for Instruction-based Image Editing Model
[
OpenReview]
Poster
None
Finding the Minimal Parameter Budget for Implicit Reasoning: A Data Complexity Driven Scaling Law for Language Models
[
OpenReview]
Poster
None
Speculative Coupled Decoding for Training-Free Lossless Acceleration of Autoregressive Visual Generation
[
OpenReview]
Poster
None
Impact of Connectivity on Laplacian Representations in Reinforcement Learning
[
OpenReview]
Poster
None
Interpreting and Enhancing Emotional Circuits in Large Vision-Language Models via Cross-Modal Information Flow
[
OpenReview]
Poster
None
ADEPT: RL-Aligned Agentic Decoding of Emotion via Evidence Probing Tools — From Consensus Learning to Ambiguity-Driven Emotion Reasoning
[
OpenReview]
Poster
None
FunPhase: A Periodic Functional Autoencoder for Motion Generation via Phase Manifolds
[
OpenReview]
Poster
None
EPSVec: Efficient and Private Synthetic Text Generation via Dataset Vectors
[
OpenReview]
Poster
None
Modeling Covariate Transition for Efficient Estimation of Longitudinal Treatment Effects in Randomized Experiments
[
OpenReview]
Poster
None
Seizure-Semiology-Suite($S^3$): A Clinically Multimodal Dataset, Benchmark, and Models for Seizure Semiology Understanding
[
OpenReview]
Poster
None
Tight Stability Bounds for Robust Distributed Learning: Byzantine Failures Hurt Generalization More than Data Poisoning
[
OpenReview]
Poster
None
Contrastive Representation Regularization for Vision-Language-Action Models
[
OpenReview]
Poster
None
Future Dynamic 3D Reconstruction: A 3D World Model with Disentangled Ego-Motion
[
OpenReview]
Poster
None
Plug-and-Play Benchmarking of Reinforcement Learning Algorithms for Large-Scale Flow Control
[
OpenReview]
Poster
None
On Training-Conditional Conformal Prediction and Binomial Proportion Confidence Intervals
Poster
None
MORALISE: A Structured Benchmark for Moral Alignment in Visual Language Models
[
OpenReview]
Poster
None
Decouple and Cache: KV Cache Construction for Streaming Video Understanding
[
Poster]
[
OpenReview]
Poster
None
SIMoE: A Probabilistic Framework for Cardinality-Constrained Routing in Mixture-of-Experts
[
OpenReview]
Poster
None
A Conflict-aware Evidential Framework for Reliable Sleep Stage Classification
[
Slides]
[
Poster]
[
OpenReview]
Poster
None
Keep It in Mind: User Centric Continual Spatial Intelligence Reasoning in Egocentric Video Streams
[
OpenReview]
Poster
None
Learning Biophysical Models of Large-Scale Multineuronal Data To Enable Precise Neurostimulation
[
OpenReview]
Poster
None
Systematic Failures in Collective Reasoning under Distributed Information in Multi-Agent LLMs
[
OpenReview]
Poster
None
D$^3$: Dynamic Directional Graph-Constrained Data Scheduling for LLM Training
[
OpenReview]
Poster
None
Beyond Sunk Costs: Boosting LLM Pre-training Efficiency via Orthogonal Growth of Mixture-of-Experts
[
OpenReview]
Poster
None
RouterInterp: Understanding Superposed Specialisation in Mixture of Experts Routing
[
OpenReview]
Poster
None
Hierarchical Abstract Tree for Cross-Document Retrieval Augmented Generation
[
OpenReview]
Poster
None
Does Reasoning Improve Seeing? Understanding When Vision-Language Models Benefit from Thinking
[
OpenReview]
Poster
None
VideoSEAL: Separating Planning from Answer Authority for Agentic Long Video Understanding
[
OpenReview]
Poster
None
Less is More: Neuroscience-Motivated Probing for Efficient Concept Circuits Tracing
[
OpenReview]
Poster
None
Towards a Unified Generative Model for Scarce Time Series with Domain Experts
[
OpenReview]
Poster
None
Provable Benefits of RLVR over SFT for Reasoning Models: Learning to Backtrack Efficiently
[
OpenReview]
Poster
None
VisionWebDev: A Hierarchical Benchmark for Visual Website Development with Agent Verification
[
OpenReview]
Poster
None
Steering Large Language Models through the DMTA Cycle: Structure-Based Drug Design via Knowledge-Driven Bi-Level Thompson Sampling
[
OpenReview]
Poster
None
Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis
[
OpenReview]
Poster
None
PGD-NO: A Neural Operator with Precomputed Geometry Decomposition for 3D Million-Scale physics simulations
[
OpenReview]
Poster
None
UltraLIF: Fully Differentiable Spiking Neural Networks via Ultradiscretization and Max-Plus Algebra
[
OpenReview]
Poster
None
Probabilistic Performance Guarantees for Multi-Task Reinforcement Learning
[
OpenReview]
Poster
None
Towards Functional Correctness of Large Code Models with Selective Generation
[
OpenReview]
Poster
None
Provably Data-driven Lagrangian Relaxation for Mixed Integer Linear Programming
[
OpenReview]
Poster
None
Lagrangian Perturbation Diffusion Steering: Latent Reinforcement Learning for Generative Policies
[
OpenReview]
Poster
None
Med-Scout: Curing MLLMs' Geometric Blindness in Medical Perception via Geometry-Aware RL Post-Training
[
OpenReview]
Poster
None
FIDIA: Function-Informed Sequence Design via Inference-Aligned Policy Optimization
[
OpenReview]
Poster
None
Provably Data-driven Multiple Hyper-parameter Tuning with Structured Loss Function
[
OpenReview]
Poster
None
Weasel: Out-of-Domain Generalization for Web Agents via Importance-Diversity Data Selection
[
OpenReview]
Poster
None
T$^2$PO: Uncertainty-Guided Exploration Control for Stable Multi-Turn Agentic Reinforcement Learning
[
OpenReview]
Poster
None
Federated Learning with Unlabeled Clients: Personalization Can Happen in Low Dimensions
[
OpenReview]
Poster
None
Making Learner Weakness Actionable for Learning from Demonstration with Novice Teachers
[
OpenReview]
Poster
None
DISCO: Mitigating Bias in Deep Learning with Conditional Distance Correlation
[
OpenReview]
Poster
None
EchoingPixels: Aliasing-Resistant Joint Token Reduction for Audio-Visual LLMs
[
OpenReview]
Poster
None
PhotoAgent: Exploratory Visual Aesthetic Planning with Large Vision Models
[
OpenReview]
Poster
None
LLMInertia: Adaptive Counter-Inertial Reasoning to Improve Evidence Faithfulness in Large Language Models
[
Poster]
[
OpenReview]
Poster
None
From Parameters to Feature Space: Task Arithmetic for Backdoor Mitigation in Model Merging
[
OpenReview]
Poster
None
Large Language Models Develop Novel Social Biases Through Adaptive Exploration
[
OpenReview]
Poster
None
Rethinking Depth Pruning for Vision Transformers: A Heterogeneity-Aware Perspective
[
OpenReview]
Poster
None
Unsupervised Disentanglement Without Compromises : How Functional Orthogonality Enforces Identifiability
[
OpenReview]
Poster
None
Do Neural Operators Forget Geometry? The Forgetting Hypothesis in Deep Operator Learning
[
OpenReview]
Poster
None
Lookahead-GCG: Improving Multi-Model Gradient-Based Jailbreaking Attacks via Nesterov Momentum
[
OpenReview]
Poster
None
On the Collapse of Generative Paths: A Criterion and Correction for Diffusion Steering
[
OpenReview]
Poster
None
Does Math Reasoning Improve General LLM Capabilities? Understanding Transferability of LLM Reasoning
[
OpenReview]
Poster
None
Euclean: Automated Geometry Problem Formalization with Unified Verification in Lean
[
OpenReview]
Poster
None
ADHD Disease Detection Based on Short- and Long-Term Brain Function Encoding and Memory Graph Network
[
OpenReview]
Poster
None
Forget by Uncertainty: Orthogonal Entropy Unlearning for Quantized Neural Networks
[
OpenReview]
Poster
None
Robust Signal Enhancement via Fractional Detail Views and Knowledge Guided Multi-view Fusion
[
OpenReview]
Poster
None
CombinationTS: A Modular Framework for Understanding Time-Series Forecasting Models
[
OpenReview]
Poster
None
Rethinking Contrastive Learning for Graph Collaborative Filtering: Limitations and A Simple Remedy
[
OpenReview]
Poster
None
From Representation to Action: A Unified Laplacian Framework for Spatial Representation and Path Planning
[
OpenReview]
Poster
None
CoCoQuant: Breaking the Bandwidth Wall via Co-Optimized Communication and Computation Quantization
[
OpenReview]
Poster
None
Scene Graph Thinking: Reinforcing Structured Visual Reasoning for Multimodal Large Language Models
[
OpenReview]
Poster
None
LSGQuant: Layer-Sensitivity Guided Quantization for One-Step Diffusion Real-World Video Super-Resolution
[
OpenReview]
Poster
None
Riemannian Metric Matching for Scalable Geometric Modeling of Distributions
[
OpenReview]
Poster
None
Instruction Lens Score: Your Instruction Contributes a Powerful Object Hallucination Detector for Multimodal Large Language Models
[
Poster]
[
OpenReview]
Poster
None
Harnessing Spectrum Video for Subject-Level Few-Shot and Cross-Montage EEG Generalization
[
OpenReview]
Poster
None
FineFocus: Benchmarking and Improving Fine-Grained Text-to-Image Alignment via Paired Reinforcement Learning
[
OpenReview]
Poster
None
Dynamic Stratified Contrastive Learning with Upstream Augmentation for MILP Branching
[
OpenReview]
Poster
None
On the Convergence of Adaptive Gradient Methods for Nonconvex Optimization
Poster
None
DistFlow: A Fully Distributed RL Framework for Scalable and Efficient LLM Post-Training
[
OpenReview]
Poster
None
SpecPrune-VLA: Accelerating Vision-Language-Action Models via Action-Aware Self-Speculative Pruning
[
OpenReview]
Poster
None
Multi-label learning with contrastive cluster self-supervision for 3D hierarchical semantic segmentation
[
OpenReview]
Poster
None
Persona2Web: Benchmarking Personalized Web Agents for Contextual Reasoning with User History
[
OpenReview]
Poster
None
Unsat Core Prediction through Polarity-Aware Representation Learning over Clause-Literal Hypergraphs
[
OpenReview]
Poster
None
D²Evo: Dual Difficulty-Aware Self-Evolution for Data-Efficient Reinforcement Learning
[
OpenReview]
Poster
None
Rethinking Low-Confidence Pseudo Labels: Influence-Aware Semi-Supervised Fine-Tuning for Hyperspectral Change Detection
[
OpenReview]
Poster
None
Regret Pre-training: Bridging Prior and Posterior Views for Enhanced Knowledge Grounding
[
OpenReview]
Poster
None
Interpretable Discovery of One-parameter Subgroups: A Modular Framework for Elliptical, Hyperbolic, and Parabolic Symmetries
[
OpenReview]
Poster
None
Online Learning with Recency: Algorithms for Sliding-window Streaming Multi-armed Bandits
[
OpenReview]
Poster
None
SPEED: Sharpened-Teacher Distillation for Parallel Decoding of Diffusion Language Models
[
OpenReview]
Poster
None
Copula-SVI: Vine-Copula Variational Inference for Instance-Level Correlation Capturing
[
OpenReview]
Poster
None
AIR: Post-training Data Selection for Reasoning via Attention Head Influence
[
OpenReview]
Poster
None
Distilling Task-Level Coordination Policies for Generalizable Multi-Agent Cooperation
[
OpenReview]
Poster
None
CLoVE: Personalized Federated Learning through Clustering of Loss Vector Embeddings
[
OpenReview]
Poster
None
Breaking the Block: Preserving Data Continuity to Train Superior SAEs for Instruct Models
[
OpenReview]
Poster
None
Dismantling the Illusion of Vision-Language-Action Models Competence via Explicit Distributional Shifts
[
OpenReview]
Poster
None
Transferable Reinforcement Learning via Probabilistic Latent Embeddings and Dynamic Policy Adaptation for Sim-to-Real Deployment
[
OpenReview]
Poster
None
NL2Repo-Bench: Towards Long-Horizon Repository Generation Evaluation of Coding Agents
[
OpenReview]
Poster
None
A Generalist Pair-wise Progress Critic Model for Vision-Language-Action Robots
[
OpenReview]
Poster
None
Implicit Actor Critic Coupling via a Supervised Learning Framework for RLVR
[
OpenReview]
Poster
None
SonicMaster: Towards Controllable All-in-One Music Restoration and Mastering
[
OpenReview]
Poster
None
PICACO: Pluralistic In-Context Value Alignment via Total Correlation Optimization
[
OpenReview]
Poster
None
Beyond Independence: Learning Correlated Views for Variational Incomplete Multi-View Clustering
[
OpenReview]
Poster
None
TWLA: Breaking the Barrier to W1.58A4 Post-Training Quantization for LLMs
[
Poster]
[
OpenReview]
Poster
None
Black-Box Assisted Regression: Phase Transitions and Minimax Optimality
[
Poster]
[
OpenReview]
Poster
None
On the Plasticity and Stability for Post-Training Large Language Models
[
Poster]
[
OpenReview]
Poster
None
Bridging Scaling Laws to On-Policy Reinforcement Learning via Adaptive Batch Scaling
[
Slides]
[
Poster]
[
OpenReview]
Poster
None
Self-Supervised Dynamical System Representations for Physiological Time-Series
[
OpenReview]
Poster
None
CoCoEmo: Composable and Controllable Human-Like Emotional TTS via Activation Steering
[
OpenReview]
Poster
None
Breaking the Self-Confirming Loop: Diagnosing and Mitigating Systemic Reward Bias in Self-Rewarding RL
[
OpenReview]
Poster
None
Learning More from Less: Unlocking Internal Representations for Benchmark Compression
[
OpenReview]
Poster
None
Clipping Bottleneck: Stabilizing RLVR via Stochastic Recovery of Near-Boundary Signals
[
Poster]
[
OpenReview]
Poster
None
Criterion-Conditional In-Context Learning: Evaluating Criterion-Shift Adaptation in Vision-Language Models
[
OpenReview]
Poster
None
ArcDAE: Asymmetric Rectified Contrastive Diffusion Autoencoder for Unified Representation Learning
[
OpenReview]
Poster
None
DSGCR: Decomposed Spectral Geometry-Aware Cross-Modal Semantic Representation for 3D Visual Grounding
[
OpenReview]
Poster
None
Approximating Drift-Diffusion Models for User Decisions under Nudging and External Information
[
OpenReview]
Poster
None
Accurate Large-scale Uncertainty Quantification using Stochastic Gradient Markov Chain Monte Carlo
[
OpenReview]
Poster
None
LOVE: Benchmarking and Evaluating Text-to-Video Generation and Video-to-Text Interpretation
[
OpenReview]
Poster
None
UB-SMoE: Universally Balanced Sparse Mixture-of-Experts for Resource-adaptive Federated Fine-tuning of Foundation Models
[
OpenReview]
Poster
None
EpiCoCo: De Novo Epitope Generation via MHC-Context Co-Modeling and Contrastive Affinity Guidance
[
OpenReview]
Poster
None
Noisy-Space Policy Gradient for Diffusion Policies in Offline Reinforcement Learning
[
OpenReview]
Poster
None
Reasoning over Boundaries: Enhancing Specification Alignment via Test-time Deliberation
[
OpenReview]
Poster
None
Enhancing Multi-Modal LLMs Reasoning via Difficulty-Aware Group Normalization
[
OpenReview]
Poster
None
MAS-Architect: Declarative Multi-Agent System Design via Separation of Concerns
[
OpenReview]
Poster
None
SpecForge: A Flexible and Efficient Open-Source Training Framework for Speculative Decoding
[
OpenReview]
Poster
None
Federated Variational Preference Alignment with Gumbel-Softmax Prior for Personalized User Preferences
[
OpenReview]
Poster
None
PACE: Proactive Agent-Level Admission Control for Efficient Agentic Batch Inference
[
OpenReview]
Poster
None
Position: Beyond Reasoning Zombies — AI Reasoning Requires Process Validity
[
OpenReview]
Poster
None
Bounded Hyperbolic Tangent: A Stable and Efficient Alternative to Pre-Layer Normalization in Large Language Models
[
OpenReview]
Poster
None
BuildArena: A Physics‑Aligned Interactive Benchmark of LLMs for Engineering Construction
[
OpenReview]
Poster
None
Budget-Feasible Mechanisms for Submodular Welfare Maximization in Procurement Auctions
[
OpenReview]
Poster
None
Learn from Your Mistakes: Tree-like Self-Play on Vulnerability Nodes for Secure Code LLMs
[
OpenReview]
Poster
None
NaRA: Noise-Aware LoRA for Parameter-Efficient Fine-Tuning of Diffusion LLMs
[
OpenReview]
Poster
None
VJEPA: Variational Joint Embedding Predictive Architectures as Probabilistic World Models
[
OpenReview]
Poster
None
Set-Coupled Guidance: Set-Level Coordination in Diffusion-Based Dataset Distillation
[
OpenReview]
Poster
None
``Someone Hid It!'': Query-Agnostic Black-Box Attacks on LLM-Based Retrieval
[
OpenReview]
Poster
None
From Lyapunov Analysis to Algorithm Design in two-sided PL Minimax Optimization
[
OpenReview]
Poster
None
Position: We Need A Unified Definition of Hallucination (It’s The World Model, Stupid!)
[
OpenReview]
Poster
None
Cache Coherent Resampling for Efficient Test Time Scaling in LLM Reasoning via Adaptive Sequential Monte Carlo
[
OpenReview]
Poster
None
SafeCompass: Dynamic Chain-of-Thought Steering via Inference-Time Safety Signals
[
OpenReview]
Poster
None
LAST: Bridging Vision-Language and Action Manifolds via Gromov-Wasserstein Alignment
[
OpenReview]
Poster
None
SkillNet: Hierarchical Skill Modeling for Compositional Generalization in Vision-Language Action Models
[
OpenReview]
Poster
None
Predicting What Matters: Robust Generalist Robot Policy Learning via Future Semantic Mask
[
OpenReview]
Poster
None
Improved Convergence of Score-Based Diffusion Models via Prediction-Correction
Poster
None
XR-1: Towards Versatile Vision-Language-Action Models via Learning Unified Vision-Motion Representations
[
OpenReview]
Poster
None
SPADA: A Verifiable Test-Driven Agent for Controllable Parametric CAD Assembly Generation
[
OpenReview]
Poster
None
A Regret Minimization Framework on Preference Learning in Large Language Models
[
Poster]
[
OpenReview]
Poster
None
CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection
[
OpenReview]
Poster
None
FAB: A First-Order AB-based Gradient Algorithm for Distributed Bilevel Optimization over Time-Varying Directed Graphs
[
OpenReview]
Poster
None
Advancing Analytic Class-Incremental Learning through Vision-Language Calibration
[
OpenReview]
Poster
None
NeUQI: Near-Optimal Uniform Quantization Parameter Initialization for Low-Bit LLMs
[
OpenReview]
Poster
None
EvoCF: Multi-Agent Collaboration via Agentic Memory-Driven Evolutionary Counterfactual Planning
[
OpenReview]
Poster
None
Auditing Sybil: Explaining Deep Lung Cancer Risk Prediction Through Generative Interventional Attributions
[
OpenReview]
Poster
None
LaRA-Fusion: Latent-Robust Adaptation via Dual-Loop Constraints for Infrared and Visible Image Fusion
[
OpenReview]
Poster
None
KAST-BAR: Knowledge-Anchored Semantically-Dynamic Topology Brain Autoregressive Modeling for Universal Neural Interpretation
[
Poster]
[
OpenReview]
Poster
None
$\texttt{Multi}^2$: Hierarchical Multi-Agent Decision-Making with LLM-Based Agents in Interactive Environments
[
OpenReview]
Poster
None
Memora: A Harmonic Memory Representation Balancing Abstraction and Specificity
[
OpenReview]
Poster
None
Position: *Beyond Text* The Text-Centric Bias in Foundation Models Must Be Revisited for a Speech-First Future
[
Slides]
[
Poster]
[
OpenReview]
Poster
None
Coloring the Noise: Adversarial Sobolev Alignment for Faithful Image Super Resolution
[
Poster]
[
OpenReview]
Poster
None
Beyond Theorem Proving: Formulation, Framework and Benchmark for Formal Problem-Solving
[
OpenReview]
Poster
None
LiveOIBench: Can Large Language Models Outperform Human Contestants in Informatics Olympiads?
[
OpenReview]
Poster
None
SAOT: Self-Supervised Continual Graph Learning with Structure-Aware Optimal Transport
[
OpenReview]
Poster
None
ALSO: Adversarial Online Strategy Optimization for Social Agents
[
Poster]
[
OpenReview]
Poster
None
Self-Distilled Reasoner: On-Policy Self-Distillation for Large Language Models
[
OpenReview]
Poster
None
Adaptive Personalized Federated Learning via Multi-task Averaging of Kernel Mean Embeddings
[
OpenReview]
Poster
None
Light Up Your Face: A Physically Consistent Dataset and Diffusion Model for Face Fill-Light Enhancement
[
OpenReview]
Poster
None
FunCQNet: A Functional Censored Quantile Neural Network for Predicting Long-Term Post-Transplant Kidney Survival
[
OpenReview]
Poster
None
Optimizing Agentic Reasoning with Retrieval via Synthetic Semantic Information Gain Reward
[
OpenReview]
Poster
None
Predicting Future KV Utility: Global Combinatorial Optimization for Task-Agnostic KV Cache Eviction
[
OpenReview]
Poster
None
OmniVideo-R1: Reinforcing Audio-visual Reasoning with Query Intention and Modality Attention
[
OpenReview]
Poster
None
Echoes within the Reasoning: Stealth and Effective Watermarking via Chain of Thought
[
OpenReview]
Poster
None
Eating for a Sustainable Planet: Personalized Sustainable Diet Recommendation via Constraint-Aware Decision-Making Modeling
[
OpenReview]
Poster
None
AutoMat: Physics-Guided Agentic Reasoning for Solving Ill-Posed Inverse Microscopy Problems
[
OpenReview]
Poster
None
MultiBreak: A Scalable and Diverse Multi-turn Jailbreak Benchmark for Evaluating LLM Safety
[
Poster]
[
OpenReview]
Poster
None
AliMark: Enhancing Robustness of Sentence-Level Watermarks Against Text Paraphrasing
[
OpenReview]
Poster
None
Post-Hoc Merging is Not Enough: Many-Shot Model Merging with Loss-Gap Balancing
[
OpenReview]
Poster
None
GICDM: Mitigating Hubness for Reliable Distance-Based Generative Model Evaluation
[
OpenReview]
Poster
None
Geometrically Constrained Stenosis Editing in Coronary Angiography via Entropic Optimal Transport
[
Poster]
[
OpenReview]
Poster
None
Toward Safe Quantization-Aware Fine-tuning: Understanding and Mitigating Safety Alignment Degradation
[
OpenReview]
Poster
None
Stop When Further Reasoning Won’t Help: Attention-State Adaptive Generation in Reasoning Models
[
OpenReview]
Poster
None
FAIR-Calib: Frontier-Aware Instability-Reweighted Calibration for Post-Training Quantization of Diffusion Large Language Models
[
OpenReview]
Poster
None
Image-to-Brain Signal Generation for Visual Prosthesis with CLIP Guided Multimodal Diffusion Models
[
OpenReview]
Poster
None
PADA-Coder: Improving Plan-Following Code Generation via Perturbation-Verified Attention Distillation and Dynamic Alignment
[
OpenReview]
Poster
None
Semi-LAR: Semi-supervised Contrastive Learning with Linear Attention for Removal of Nighttime Flares
[
Poster]
[
OpenReview]
Poster
None
Learning multi-modal generative models with permutation-invariant encoders and tighter variational objectives
Poster
None
Spectral Bridge Variational Inference: Dynamic LoRA via Bures-Wasserstein Gradient Flows
[
OpenReview]
Poster
None
Nonconvex Low-Rank Tensor Representation with Deep Priors for Multiview Subspace Clustering
[
OpenReview]
Poster
None
Submodular Optimization for Minimal Augmentation in Robust Language Model Alignment
[
OpenReview]
Poster
None
The Hidden Risk: Membership Inference Attacks on Multimodal Federated Learning via Modality Imbalance
[
OpenReview]
Poster
None
NanoFLUX: Distillation-Driven Compression of Large Text-to-Image Generation Models for Mobile Devices
[
OpenReview]
Poster
None
Beyond the Bellman Recursion: A Pontryagin-Guided Framework for Non-Exponential Discounting
[
OpenReview]
Poster
None
C$^{2}$R: Cross-sample Consistency Regularization Mitigates Feature Splitting and Absorption in Sparse Autoencoders
[
OpenReview]
Poster
None
Semi-Supervised Gaze Estimation via Disentangled Subspace Contrastive Learning
[
OpenReview]
Poster
None
Near-optimal and Efficient First-Order Algorithm for Multi-Task Learning with Shared Linear Representation
[
OpenReview]
Poster
None
Approximation Theory for Lipschitz Continuous Transformers
[
Slides]
[
Poster]
[
OpenReview]
Poster
None
CausalArmor: Efficient Indirect Prompt Injection Guardrails via Causal Attribution
[
Slides]
[
Poster]
[
OpenReview]
Poster
None
ARLArena: Demystifying Policy Gradient Stability in Agentic Reinforcement Learning
[
OpenReview]
Poster
None
Spectral Gradient Descent Mitigates Anisotropy-Driven Misalignment: A Case Study in Phase Retrieval
[
OpenReview]
Poster
None
Posterior Concentration of Physics-Informed Neural Networks for Elliptic PDEs
[
OpenReview]
Poster
None
Merge to Remember: Sharpness-Aware Isotropic Merging for Continual Learning
[
OpenReview]
Poster
None
PolyFlow: Safe and Efficient Polytope-Constrained Flow Matching with Constraint Embedding and Projection-free Update
[
OpenReview]
Poster
None
Resolving the Timestep Scaling Paradox in Spiking Neural Networks with a Timestep-Scalable Neuron Model
[
OpenReview]
Poster
None
Inducing Overthink: Hierarchical Genetic Algorithm-based DoS Attack on Black-Box Reasoning Models
[
OpenReview]
Poster
None
FRISM: Fine-Grained Reasoning Injection via Subspace-Level Model Merging for Vision–Language Models
[
OpenReview]
Poster
None
RedVisor: Reasoning-Aware Prompt Injection Defense via Zero-Copy KV Cache Reuse
[
OpenReview]
Poster
None
KnapSpec: Self-Speculative Decoding via Adaptive Layer Selection as a Knapsack Problem
[
OpenReview]
Poster
None
SemBind: Binding Diffusion Watermarks to Semantics Against Black-Box Forgery Attacks
[
OpenReview]
Poster
None
BPDQ: Bit-Plane Decomposition Quantization on a Variable Grid for Large Language Models
[
OpenReview]
Poster
None
Cross-View Lewis Weight Fusion Empowering Exemplar Replay for Federated Class-Incremental Learning
[
OpenReview]
Poster
None
ProtoKV: Streaming Video Understanding under Delayed Evidence with Summary-State Memory
[
OpenReview]
Poster
None
UniMedVL: Unifying Medical Multimodal Understanding and Generation through Observation-Knowledge-Analysis
[
OpenReview]
Poster
None
Optimization with Access to Auxiliary Information
Poster
None
TQL: Scaling Q-Functions with Transformers by Preventing Attention Collapse
[
OpenReview]
Poster
None
Efficient Diffusion Models via Time Step Optimization with Consistent Training and Inference Constraints
[
OpenReview]
Poster
None
Intrinsic Gradient Suppression for Label-Noise Prompt Tuning in Vision–Language Models
[
OpenReview]
Poster
None
Efficient Neural Controlled Differential Equations via Attentive Kernel Smoothing
[
OpenReview]
Poster
None
SCNS: Continual Personalization of Diffusion Models via Submodular Concept Neuron Selection
[
OpenReview]
Poster
None
Surgery: Mitigating Harmful Fine-Tuning for Large Language Models via Attention Sink
[
OpenReview]
Poster
None
Risk Awareness Injection: Calibrating Vision-Language Models for Safety without Compromising Utility
[
OpenReview]
Poster
None
4DPC$^2$hat: Towards Dynamic Point Cloud Understanding with Failure-Aware Bootstrapping
[
OpenReview]
Poster
None
OVLR: Efficient, Scalable, and Robust Training via Output-Level Variance-Reduced Likelihood Ratio
[
OpenReview]
Poster
None
IDRBench: Understanding the Capability of Large Language Models on Interdisciplinary Research
[
OpenReview]
Poster
None
Conditional Distributional Treatment Effects: Doubly Robust Estimation and Testing
[
OpenReview]
Poster
None
Beyond Explicit Edges: Robust Reasoning over Noisy and Sparse Knowledge Graphs
[
OpenReview]
Poster
None
VecDesigner: Exploring Visual Guidance and Structural Consistency for Semantic Typography
[
OpenReview]
Poster
None
Contextual Rollout Bandits for Reinforcement Learning with Verifiable Rewards
[
OpenReview]
Poster
None
Detecting Errors in AI-Generated Annotations: When and Why Semantic Neighbors Help
[
OpenReview]
Poster
None
PanoWorld-X: Generating Explorable Panoramic Worlds via Sphere-Aware Video Diffusion
[
OpenReview]
Poster
None
R2R2: Robust Representation for Intensive Experience Reuse via Redundancy Reduction in Self-Predictive Learning
[
OpenReview]
Poster
None
Dynamic Thinking-Token Selection for Efficient Reasoning in Large Reasoning Models
[
OpenReview]
Poster
None
WAVE: Window-Aware Vocabulary-Efficient Early-Exit for Training-Free LLM Acceleration
[
OpenReview]
Poster
None
Evolving Interdependent Operators with Large Language Models for Multi-Objective Combinatorial Optimization
[
OpenReview]
Poster
None
Reasoning to Edit: Hypothetical Instruction-Based Image Editing with Visual Reasoning
[
OpenReview]
Poster
None
The Quality-Utility Paradox: Why High-Reward Data Impairs Small Model Reasoning
[
OpenReview]
Poster
None
Safe Autoregressive Image Generation with Iterative Self-Improving Codebooks
[
OpenReview]
Poster
None
Beyond Independent Genes: Learning Module-Inductive Representations for Gene Perturbation Prediction
[
OpenReview]
Poster
None
GaussTrace: Provenance Analysis of 3D Gaussian Splatting Models with Evidence-based LLM Reasoning
[
OpenReview]
Poster
None
RaGEP: Rank-aware Geometric Expert Pruning for Mixture-of-Experts Language Models
[
OpenReview]
Poster
None
The Two-Hump Problem: Bridging the Difficulty Gap in Mathematical Reinforcement Learning
[
OpenReview]
Poster
None
SE3Set: Harnessing Equivariant Hypergraph Neural Networks for Molecular Representation Learning
Poster
None
Hierarchical Reinforcement Learning for Sparse-Reward Search in Commutative Algebra
[
OpenReview]
Poster
None
SurvDiff: A Diffusion Model for Generating Synthetic Data in Survival Analysis
[
OpenReview]
Poster
None
A Deep Learning Model of Mental Rotation Informed by Interactive VR Experiments
[
OpenReview]
Poster
None
Exploiting Hankel-Toeplitz Structures for Fast Computation of Kernel Precision Matrices
Poster
None
TGPO: Efficient Policy Optimization through Sequence Anchor and Information Gating
[
OpenReview]
Poster
None
Rewiring Experts on the Fly: Continuous Rerouting for Better Online Adaptation in Mixture-of-Expert models
[
OpenReview]
Poster
None
Time-CoT: Hierarchical Reasoning with Temporal Semantic Codes for Multivariate Time Series Classification
[
OpenReview]
Poster
None
OOVDet: Low-Density Prior Learning for Zero-Shot Out-of-Vocabulary Object Detection
[
OpenReview]
Poster
None
See the Emotion: A Facial Emoji Proxy Modeling for EEG Emotion Recognition
[
OpenReview]
Poster
None
Measuring and Mitigating Post-hoc Rationalization in Reverse Chain-of-Thought Generation
[
OpenReview]
Poster
None
Know Thyself, Know Thy User: Intrinsic Dual-Perspective Reasoning for Role-Playing LLMs
[
OpenReview]
Poster
None
BRIDGE: Triangular Fixed-Point Refinement for Long-Horizon Persona Consistency
[
OpenReview]
Poster
None
GenAlign: Towards Unified Alignment Framework of MLLMs via Generative Reward Model
[
OpenReview]
Poster
None
TimeMRA: LLM-Empowered Time Series Forecasting via Multi-Scale Retrieval-Augmented Representations
[
OpenReview]
Poster
None
A Distributional View for Visual Mechanistic Interpretability: KL-Minimal Soft-Constraint Principle
[
OpenReview]
Poster
None
Towards Trustworthy Video Anomaly Understanding: A Class-Guided Chain-of-Evaluation Metric and An Anomaly-focused Meta-Benchmark
[
OpenReview]
Poster
None
AutoControl Arena: Synthesizing Executable Test Environments for Frontier AI Risk Evaluation
[
OpenReview]
Poster
None
Likelihood over Estimation: Robust Quadratic Discriminant Analysis for Heavy-Tailed Distributions with Theory and Evidence
[
OpenReview]
Poster
None
Federated Graph Learning via Structure-Aware Fusion Using a Kalman Framework with Learnable Dynamics
[
Slides]
[
Poster]
[
OpenReview]
Poster
None
InnoEval: On Research Idea Evaluation as a Knowledge-Grounded, Multi-Perspective Reasoning Problem
[
OpenReview]
Poster
None
OneSearch: A Preliminary Exploration of the Unified End-to-End Generative Framework for E-commerce Search
[
OpenReview]
Poster
None
Text-Driven Fusion for Infrared and Visible Images: Achieving Image Scene Adaptation on Hyperbolic Space
[
OpenReview]
Poster
None
DiScoFormer: Plug-In Density and Score Estimation with Transformers
[
Slides]
[
OpenReview]
Poster
None
Dimension-Independent Convergence of Underdamped Langevin Monte Carlo in KL Divergence
[
OpenReview]
Poster
None
Foresee-to-Ground: From Predictive Temporal Perception to Evidence-Driven Reasoning for Video Temporal Grounding
[
OpenReview]
Poster
None
Transitivity Meets Cyclicity: Explicit Preference Decomposition for Dynamic Large Language Model Alignment
[
OpenReview]
Poster
None
ReSeek: A Self-Correcting Framework for Search Agents with Instructive Rewards
[
OpenReview]
Poster
None
BubbleSpec: Turning Long-Tail Bubbles into Speculative Rollout Drafts for Synchronous Reinforcement Learning
[
OpenReview]
Poster
None
Lookahead Unmasking Elicits Reliable Decoding in Diffusion Language Models
[
OpenReview]
Poster
None
Particles Don’t Care About Z: Towards Scaling Entropy Estimation of Unnormalized Densities
[
OpenReview]
Poster
None
Non-Stationary Online Structured Prediction with Surrogate Losses
[
Slides]
[
Poster]
[
OpenReview]
Poster
None
Distribution-Calibrated Inference Time Compute for Thinking LLM-as-a-Judge
[
OpenReview]
Poster
None
Many Experiments, Few Repetitions, Unpaired Data, and Sparse Effects: Is Causal Inference Possible?
[
OpenReview]
Poster
None
Context-Aware Reaonser : Enhancing Contextual Reasoning in Multimodal Large Language Models
[
OpenReview]
Poster
None
Rethinking Visual Autoregressive Sampling with Information-Grounding Guidance
[
OpenReview]
Poster
None
PLATE: Plasticity-Tunable Efficient Adapters for Geometry-Aware Continual Learning
[
OpenReview]
Poster
None
Modeling Attributional Style at Scale: A Dataset and Analysis for Psychological Attribution Assessment and Reframing
[
OpenReview]
Poster
None
Synthesizing world models for bilevel planning
Poster
None
HiPhO: How Far Are (M)LLMs from Humans in the Latest High School Physics Olympiad Benchmark?
[
OpenReview]
Poster
None
CoverPruneGS: Coverage-Preserving Structured Pruning for Hierarchical 3D Gaussian Splatting from Sparse-View Monocular Videos
[
OpenReview]
Poster
None
MindFlow: Mind Supernet Powered Thinking Flows for Research Idea Innovation
[
OpenReview]
Poster
None
Tracking Drift: Variation-Aware Entropy Scheduling for Non-Stationary Reinforcement Learning
[
OpenReview]
Poster
None
Beyond Structural Symmetries: Linear Mode Connectivity via Neuron Identifiability
[
OpenReview]
Poster
None
Decomposing the Basic Abilities of Large Language Models: Mitigating Cross-Task Interference in Multi-Task Instruct-Tuning
[
OpenReview]
Poster
None
A Coin Flip for Safety: LLM Judges Fail to Reliably Measure Adversarial Robustness
[
OpenReview]
Poster
None
CoEvol-NO: State and Coordinate Co-Evolution with an Error-Driven Predictor-Corrector Paradigm for Neural Operator Transformer
[
OpenReview]
Poster
None
Evolution of Benchmark: Black-Box Optimization Benchmark Design through Large Language Model
[
OpenReview]
Poster
None
Measuring Meta-Cultural Competency: A Spectral Framework for LLM Knowledge Structures
[
OpenReview]
Poster
None
Short Chains, Deep Thoughts: Balancing Reasoning Efficiency and Intra-Segment Capability via Split-Merge Optimization
[
OpenReview]
Poster
None
FUSE: Frequency-domain Unification and Spectral Energy Alignment for Multi-modal Object Re-Identification
[
Poster]
[
OpenReview]
Poster
None
Harnessing Reasoning Trajectories for Hallucination Detection via Answer-agreement Representation Shaping
[
OpenReview]
Poster
None
DISSOLVR: An Interpretable and Fast Framework for Aqueous and Organic Solubility Prediction
[
OpenReview]
Poster
None
IQA-Spider: Unifying Reasoning, Grounding, and Referring for Multi-Granularity Image Quality Assessment
[
OpenReview]
Poster
None
$\texttt{IDEAS}$: Interpretability Driven Evolutionary Approach for the Design of Biological Sequences
[
OpenReview]
Poster
None
VisualScore: Learning Holistic Visual Quality Scores via Multi-Task Reasoning
[
OpenReview]
Poster
None
Local Linearity of LLMs Enables Activation Steering via Model-Based Linear Optimal Control
[
OpenReview]
Poster
None
Position Is All You Need: A Free Lunch Token Compression Strategy for MLLM-based Referring Expression Segmentation
[
OpenReview]
Poster
None
Dissecting Causal Mechanism Shifts via FANS: Function And Noise Separation
[
OpenReview]
Poster
None
This State Looks Like That: Self-Interpretable Reinforcement Learning Agents using Prototype Soft Actor-Critic
[
OpenReview]
Poster
None
Tracing the Dynamics of Refusal: Exploiting Latent Refusal Trajectories for Robust Jailbreak Detection
[
OpenReview]
Poster
None
SCRWKV: Ultra-Compact Structure-Calibrated Vision-RWKV for Topological Crack Segmentation
[
OpenReview]
Poster
None
DSENet: A Novel Dual-Stream Enhancement Network for Multi-Scale Non-Stationary Time Series Forecasting
[
OpenReview]
Poster
None
Optimal conversion from Rényi Differential Privacy to $f$-Differential Privacy
[
OpenReview]
Poster
None
Stabilized Supralinear Networks Learn to Switch Coding Strategies Balancing Cost and Performance
[
OpenReview]
Poster
None
ShapCCS: Shapley-Driven Client Coreset Selection in Federated Learning
[
Poster]
[
OpenReview]
Poster
None
Good SFT Optimizes for SFT, Better SFT Prepares for Reinforcement Learning
[
OpenReview]
Poster
None
On the Convergence of Decentralized Stochastic Minimax Optimization Algorithm with Compressed Communication
[
OpenReview]
Poster
None
Projected Gradient Ascent for Efficient Reward-Guided Updates with One-Step Generative Models
[
OpenReview]
Poster
None
Revisiting Asymmetries in Black-box Link Stealing against Graph Neural Networks
[
OpenReview]
Poster
None
Discrete Diffusion VLA: Bringing Discrete Diffusion to Action Decoding in Vision-Language-Action Policies
[
OpenReview]
Poster
None
Bridging the Perceptual Gap: Residual-Enhanced Downscaling and Manifold-Aware Perception Alignment Adaptation for NR-IQA
[
OpenReview]
Poster
None
UniRRM: Unified Reasoning Reward Models Across Languages and Evaluation Paradigms
[
OpenReview]
Poster
None
Phase-Aware Mixture of Experts for Agentic Reinforcement Learning
[
Poster]
[
OpenReview]
Poster
None
VIBE: Disentangling Social Dynamics via Kinematics-Informed Variational Inference for Behavioral Emotion
[
OpenReview]
Poster
None
From Coarse to Fine: Deep Prototype Refinement Network for Few-Shot Point Cloud Semantic Segmentation
[
OpenReview]
Poster
None
Q-CLIP: Unleashing the Power of Vision-Language Models for Video Quality Assessment through Unified Cross-Modal Adaptation
[
OpenReview]
Poster
None
The Double Dilemma in Multi-Task Radiology Report Generation: A Gradient Dynamics Analysis and Solution
[
OpenReview]
Poster
None
Guidance: Sentence-Level Citation Enforcement via Prefix-Tail Guidance during LLM Decoding
[
OpenReview]
Poster
None
SAMT: Generating Structured Avatar Meshes and Textures from a Single Image
[
OpenReview]
Poster
None
Stage-wise Distortion–Perception Traversal in Zero-shot Inverse Problems with Diffusion Models
[
OpenReview]
Poster
None
TimeSeed: Effective Time Series Forecasting with Sparse Endogenous Variables
[
OpenReview]
Poster
None
VocSim A Training-free Benchmark for Zero-shot Content Identity in Single-source Audio
[
OpenReview]
Poster
None
Towards Feedback-to-Plan Decisions for Self-Evolving LLM Agents in CUDA Kernel Generation
[
OpenReview]
Poster
None
DynVLA: Learning World Dynamics for Action Reasoning in Autonomous Driving
[
OpenReview]
Poster
None
Dr. Kernel: Reinforcement Learning Done Right for Triton Kernel Generations
[
OpenReview]
Poster
None
Comparing Deterministic and Soft Policy Gradients for Optimizing Gaussian Mixture Actors
Poster
None
NeurIPS: Neuro-anatomical Inductive Priors for Sphere-based Brain Decoding
[
OpenReview]
Poster
None
Beyond Scalars: Evaluating and Understanding LLM Reasoning via Geometric Progress and Stability
[
OpenReview]
Poster
None
WaveSSM: Multiscale State-Space Models for Non-stationary Signal Attention
[
OpenReview]
Poster
None
MAC-NeRF: Motion-Aware Curriculum Learning for Dynamic LiDAR NeRFs
[
Slides]
[
Poster]
[
OpenReview]
Poster
None
Physics in 2-Steps: Locking Motion Priors Before Visual Refinement Erases Them
[
OpenReview]
Poster
None
Prompt Estimation from Prototypes for Federated Prompt Tuning of Vision Transformers
Poster
None
Expectation Consistency Loss: Rethink Confidence Calibration under Covariate Shift
[
OpenReview]
Poster
None
Taming the Recent-Data Bias: Towards Robust Time Series Forecasting with Global Context
[
OpenReview]
Poster
None
NetDiff: Graph Diffusion with Improved Global Capabilities to Generate and Update Mobile Network Topologies
[
OpenReview]
Poster
None
PRIM:Cooperative Dynamic Token Compression for Efficient Large Multimodal Models
[
OpenReview]
Poster
None
Token Sparse Attention: Efficient Long-Context Inference with Interleaved Token Selection
[
OpenReview]
Poster
None
Generalized Correctness Models: Learning Calibrated and Cross-Model Correctness Predictors from Historical Patterns
[
OpenReview]
Poster
None
ImgCoT: Compressing Long Chain of Thought into Compact Visual Tokens for Efficient Reasoning of Large Language Model
[
OpenReview]
Poster
None
Mitigating Perceptual Judgment Bias in Multimodal LLM-as-a-Judge via Perceptual Perturbation and Reward Modeling
[
OpenReview]
Poster
None
Not All Frequencies Are Equal: Energy-Adaptive Diffusion for Time Series Forecasting
[
OpenReview]
Poster
None
Relevance-Based Embeddings: Lightweight Candidate Selection via Heavy Ranker Calls
[
OpenReview]
Poster
None
BIT-LLM: Brain Instruction Tuned LLM with persistent Cross-Attention for fMRI-to-Text Decoding
[
OpenReview]
Poster
None
A Progressive Evidence Localization Framework Based on Wasserstein Gradient Flows for Document Visual Question Answering
[
OpenReview]
Poster
None
Finite and Corruption-Robust Regret Bounds in Online Inverse Linear Optimization under M-Convex Action Sets
[
OpenReview]
Poster
None
GADA: Geometry-Aware Deformable Aggregation for Image-Based Gaussian Splatting
[
OpenReview]
Poster
None
Evaluating Sample Utility for Efficient Data Selection by Mimicking Model Weights
[
OpenReview]
Poster
None
Active Budget Allocation for Efficient Scaling Law Estimation via Surrogate-Guided Pruning
[
OpenReview]
Poster
None
Powerful and Theoretically Guaranteed Independence Testing on Heterogeneous Federated Clients
[
OpenReview]
Poster
None
FedTreeLoRA: Reconciling Statistical and Functional Heterogeneity in Federated LoRA Fine-Tuning
[
OpenReview]
Poster
None
Reasoning-Driven Synthetic Data Generation and Evaluation
Poster
None
Generalizable and Actionable Parts Pose Estimation with Symmetry Annotation-Free Learning Strategy
[
Slides]
[
Poster]
[
OpenReview]
Poster
None
Discounted Beta-Bernoulli Reward Estimation for Sample-Efficient Reinforcement Learning with Verifiable Rewards
[
OpenReview]
Poster
None
Heterogeneity-Aware Knowledge Sharing for Graph Federated Learning
[
Poster]
[
OpenReview]
Poster
None
Decoupling Variance and Scale-Invariant Updates in Adaptive Gradient Descent for Unified Vector and Matrix Optimization
[
OpenReview]
Poster
None
Activation Oracles: Training and Evaluating LLMs as General-Purpose Activation Explainers
[
OpenReview]
Poster
None
Robust Stochastic Gradient Posterior Sampling with Lattice Based Discretisation
[
OpenReview]
Poster
None
Reasoning-VLA: An Efficient and Spatial-Guided General Vision-Language-Action Reasoning Model for Autonomous Driving
[
OpenReview]
Poster
None
Dismantling Pathological Shortcuts: A Causal Framework for Faithful LVLM Decoding
[
OpenReview]
Poster
None
Offline Reinforcement Learning of High-Quality Behaviors Under Robust Style Alignment
[
OpenReview]
Poster
None
Spurious Rewards Paradox: Mechanistically Understanding How RLVR Activates Memorization Shortcuts in LLMs
[
OpenReview]
Poster
None
Spatially-Adaptive Gradient Re-parameterization for 3D Large Kernel Optimization
[
OpenReview]
Poster
None
Synthesizing Multimodal Geometry Datasets from Scratch and Enabling Visual Alignment via Plotting Code
[
OpenReview]
Poster
None
A Judge-Aware Ranking Framework for Evaluating Large Language Models without Ground Truth
[
OpenReview]
Poster
None
R1-SyntheticVL: Is Synthetic Data from Generative Models Ready for Multimodal Large Language Model?
[
OpenReview]
Poster
None
MM-DeepResearch: A Simple and Effective Multimodal Agentic Search Baseline
[
OpenReview]
Poster
None
Corruption-Tolerant Asynchronous Q-Learning with Near-Optimal Rates
[
Poster]
[
OpenReview]
Poster
None
Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models
[
OpenReview]
Poster
None
ReMoE: Boosting Expert Reuse through Router Fine-Tuning in Memory-Constrained MoE LLM Inference
[
OpenReview]
Poster
None
Rethinking Memory in Continual Learning: Beyond a Monolithic Store of the Past
Poster
None
MAFE: Enabling Equitable Algorithm Design in Multi-Agent Multi-Stage Decision-Making Systems
[
OpenReview]
Poster
None
Interpretable Neural ODEs for Gene Regulatory Network Discovery under Perturbations
[
OpenReview]
Poster
None
Gram2Token: Enabling Run-time GPU-Native Grammar-Constrained Decoding for LLMs
[
OpenReview]
Poster
None
Error Propagation and Model Collapse in Diffusion Models: A Theoretical Study
[
OpenReview]
Poster
None
Memory as Dynamics: Learning Reliability-Guided Predictive Models for Online Video Perception
[
OpenReview]
Poster
None
Class-Conditional Distribution Balancing for Group Robust Classification
[
Poster]
[
OpenReview]
Poster
None
Evaluating AI Grading on Real-World Handwritten College Mathematics: A Large-Scale Study Toward a Benchmark
[
OpenReview]
Poster
None
MixFP4: Extending NVFP4 to Mixed Micro-Format via Scale-Bit Reuse and Tensor Core Co-design
[
OpenReview]
Poster
None
SphericalDreamer: Generating Navigable Immersive 3D Worlds with Panorama Fusion
[
OpenReview]
Poster
None
Fix Before Search: Benchmarking Agentic Visual Query Pre-processing in Multimodal Retrieval-augmented Generation
[
OpenReview]
Poster
None
PromptPilot: Game-Theoretic Multi-Agent Prompt Optimization for Segment Anything
[
OpenReview]
Poster
None
On the Effect of Misspecifying the Embedding Dimension in Low-rank Network Models
[
OpenReview]
Poster
None
Demonstration-Guided Multi-Objective Reinforcement Learning
Poster
None
Reflect-then-Correct: Rebalancing Task Optimization for Generalizable Meta-Reinforcement Learning via Distributional Value Error Reduction
[
OpenReview]
Poster
None
Towards Fine-grained Robustness: Attention-guided Test-time Prompt Tuning for Vision-Language Models
[
OpenReview]
Poster
None
A²RBench: An Automatic Paradigm for Formally Verifiable Abstract Reasoning Benchmark Generation
[
OpenReview]
Poster
None
Mitigating Error Propagation in Low-Rank Approximation of Large Models via Distribution-Aware Whitening
[
OpenReview]
Poster
None
Fast Spectrally Sparse Signal Reconstruction via Jacobi-Preconditioned Gradient Descent
[
OpenReview]
Poster
None
Multimodal Crystal Flow: Any-to-Any Modality Generation for Unified Crystal Modeling
[
OpenReview]
Poster
None
Resource-Efficient Reinforcement for Reasoning Large Language Models via Dynamic One-Shot Policy Refinement
[
OpenReview]
Poster
None
Revisiting Parameter-Based Knowledge Editing in Large Language Models: Theoretical Limits and Empirical Evidence
[
OpenReview]
Poster
None
SE(n)-Invariant Flow Matching: A General Framework with Application to Object Reassembly
[
OpenReview]
Poster
None
ViewMask-1-to-3: Multi-View Consistent Image Generation via Multimodal Diffusion Models
[
OpenReview]
Poster
None
Overcoming PINNs Failure Modes In High Dimension With Low-Rank Fourier Sum
[
OpenReview]
Poster
None
From Kepler to Newton: Inductive Biases Guide Learned World Models in Transformers
[
OpenReview]
Poster
None
DASH: Faster Shampoo via Batched Block Preconditioning and Efficient Inverse-Root Solvers
[
OpenReview]
Poster
None
Incentivizing Truthfulness and Collaborative Fairness in Bayesian Learning
[
OpenReview]
Poster
None
SSL4RL: Revisiting Self-supervised Learning as Intrinsic Reward for Visual-Language Reasoning
[
OpenReview]
Poster
None
Pretrained Vision-Language-Action Models are Surprisingly Resistant to Forgetting in Continual Learning
[
OpenReview]
Poster
None
LineageFlow: Flow Matching for High-Fidelity Family-Aware Protein Sequence Generation
[
OpenReview]
Poster
None
TopAdapter: Topology-Aware Prompt Tuning for Efficient Point Cloud Understanding
[
OpenReview]
Poster
None
ForesightKV: Optimizing KV Cache Eviction for Reasoning Models by Learning Long-Term Contribution
[
OpenReview]
Poster
None
Improving Classifier-Free Guidance of Flow Matching via Manifold Projection
[
OpenReview]
Poster
None
Beyond Static Endpoints: Tool Programs as an Interface for Flexible Agentic Web Services
[
OpenReview]
Poster
None
SVL: Empowering Spiking Neural Networks for Efficient 3D Open-World Understanding
[
OpenReview]
Poster
None
DLLMQuant: A Post-Training Quantization Framework Tailored for Diffusion-Based Large Language Models
[
OpenReview]
Poster
None
Normalization-equivariant Diffusion Models: Learning Posterior Samplers From Noisy And Partial Measurements
[
OpenReview]
Poster
None
Parameter-free Dynamic Regret: Time-varying Movement Costs, Delayed Feedback, and Memory
[
OpenReview]
Poster
None
InteractBench: Benchmarking LLMs on Competitive Programming under Unrevealed Information
[
OpenReview]
Poster
None
On the Limits of LLM Adaptability: Impact of LLM Pre-Training on Annotation Task Performance
[
OpenReview]
Poster
None
Injecting Distributional Awareness into MLLMs via Reinforcement Learning for Deep Imbalanced Regression
[
OpenReview]
Poster
None
The Personality Illusion: Revealing Dissociation Between Self-Reports & Behavior in LLMs
[
OpenReview]
Poster
None
Hyperbolic RQ-VAE enhanced Generative Recommendation with Differential-Length Codebook Strategy
[
Poster]
[
OpenReview]
Poster
None
How to Fine-Tune a Reasoning Model? A Teacher–Student Cooperation Framework to Synthesize Student-Consistent SFT Data
[
OpenReview]
Poster
None
$f$-Divergence Self-Play for Tabular Anomaly Detection via Large Language Models
[
OpenReview]
Poster
None
gp2Scale: A Class of Compactly Supported Non-Stationary Kernels and Distributed Computing for Exact Gaussian Processes on 10 Million Data Points
[
Slides]
[
OpenReview]
Poster
None
RoboFlow4D: A Lightweight Flow World Model Toward Real-Time Flow-Guided Robotic Manipulation
[
OpenReview]
Poster
None
Learning from Fine-Grained Visual Discrepancies: Mitigating Multimodal Hallucinations via In-Context Visual Contrastive Optimization
[
OpenReview]
Poster
None
HieRD: Hierarchical Relational Distillation for Vision-Language Embedding Models
[
OpenReview]
Poster
None
From Outcomes to Actions: Leveraging Hindsight for Long-Horizon Language Agent Training
[
OpenReview]
Poster
None
Beyond Continuity: Simulation-free Reconstruction of Discrete Branching Dynamics from Single-cell Snapshots
[
OpenReview]
Poster
None
Robust Reinforcement Learning in a Sample-Efficient Setting
Poster
None
EntRAG: Entity-Centric Retrieval-Augmented Generation for Knowledge-based Visual Question Answering
[
OpenReview]
Poster
None
Expandable, Compressible, Mineable: Open-World Thermal Infrared Image Restoration
[
OpenReview]
Poster
None
OptMaster: A DAG-Based Framework for Formulation and Heuristic Discovery in Optimization
[
OpenReview]
Poster
None
SilentWood: Efficient Private Inference Over Gradient Boosting Decision Forests
[
OpenReview]
Poster
None
TRACE: Toulmin-based Reasoning Assessment through Constructive Elements for LLM CoT Evaluation
[
OpenReview]
Poster
None
Small Generalizable Prompt Predictive Models Can Steer Efficient RL Post-Training of Large Reasoning Models
[
OpenReview]
Poster
None
Deep Forcing: Training-Free Long Video Generation with Deep Sink and Participative Compression
[
OpenReview]
Poster
None
MatchFixAgent: Language-Agnostic Autonomous Repository-Level Code Translation Validation and Repair
[
Slides]
[
OpenReview]
Poster
None
Sharp Inequalities between Total Variation and Hellinger Distances for Gaussian Mixtures
[
OpenReview]
Poster
None
Discrete Diffusion with Physical Mass Constraints for \emph{De Novo} Peptide Sequencing
[
Poster]
[
OpenReview]
Poster
None
HybridOM: Hybrid Physics-Based and Data-Driven Global Ocean Modeling with Efficient Regional Downscaling
[
OpenReview]
Poster
None
Decentralized Instruction Tuning: Conflict-Aware Splitting and Weight Merging
[
OpenReview]
Poster
None
Distillation Models are Good Samplers for Diffusion Reinforcement Learning
[
OpenReview]
Poster
None
When Does Adaptation Win? Scaling Laws for Meta-Learning in Quantum Control
[
Slides]
[
Poster]
[
OpenReview]
Poster
None
Graph is a Natural Regularization: Revisiting Vector Quantization for Graph Representation Learning
[
OpenReview]
Poster
None
HyPOLE: Hyperproperty-Guided Multi-Agent Reinforcement Learning under Partial Observation
[
OpenReview]
Poster
None
Distribution Transformers: Fast Approximate Bayesian Inference With On-The-Fly Prior Adaptation
[
OpenReview]
Poster
None
Position: Significant impact of numerical precision in scientific machine learning
[
OpenReview]
Poster
None
Bridging Functional Correctness and Runtime Efficiency Gaps in LLM-Based Code Translation
[
OpenReview]
Poster
None
Mixing Expertise with Confidence: A Mixture of Expert Framework for Robust Multi-Modal Continual Learner
[
OpenReview]
Poster
None
Provable Bounds for the Learnability of Sample-Compressible Families from Noisy Samples
[
OpenReview]
Poster
None
Addressing Semantic Blind Spots in Text-to-SQL via Component Pre-generation and AST Matching Rewards
[
OpenReview]
Poster
None
Controllable Molecule Generation via Sparse Representation Editing: An Interpretability-Driven Perspective
[
Poster]
[
OpenReview]
Poster
None
Optimization, Generalization and Differential Privacy Bounds for Gradient Descent on Kolmogorov–Arnold Networks
[
OpenReview]
Poster
None
TVDRNet: Text-driven Viewpoint Optimization via Differentiable Rendering for 3D Reasoning Segmentation
[
OpenReview]
Poster
None
Interleaved Selective State Space Models for Efficient WiFi-Based 3D Multi-Person Pose Estimation
[
OpenReview]
Poster
None
Behavior-Invariant Task Representation Learning with Transformer-based World Models for Offline Meta-Reinforcement Learning
[
OpenReview]
Poster
None
SSA: Sparse Sparse Attention by Aligning Full and Sparse Attention Outputs in Feature Space
[
OpenReview]
Poster
None
Alignment between Brains and AI: Evidence for Convergent Evolution across Modalities, Scales and Training Trajectories
[
OpenReview]
Poster
None
TEFormer: Structured Bidirectional Temporal Enhancement Modeling in Spiking Transformers
[
OpenReview]
Poster
None
Flow-Based Density Ratio Estimation for Intractable Distributions with Applications in Genomics
[
OpenReview]
Poster
None
DRIVE: Best Data Scheduling Practices for Reinforcement Learning with Verifiable Reward in Competitive Code Generation
[
OpenReview]
Poster
None
NeuronCtrl: Geometry-Aware Safe Closed-Loop Generative Control for Neuronal Microenvironment Dynamics
[
OpenReview]
Poster
None
Contrastive Symbolic Regression: Aligned Representations, Adaptive Prediction, and Diverse Ensembles
[
OpenReview]
Poster
None
FourTune: Towards Fully 4-Bit Efficient Post-Training for Diffusion Models
[
OpenReview]
Poster
None
Generative Adaptation of Dynamics to Environmental Shifts via Weight-space Diffusion
[
OpenReview]
Poster
None
Quant VideoGen: Auto-Regressive Long Video Generation via 2-Bit KV-Cache Quantization
[
OpenReview]
Poster
None
Preference Goal Tuning: Post-Training as Latent Control for Frozen Policies
[
OpenReview]
Poster
None
KernelBand: Steering LLM-based Kernel Optimization via Hardware-Aware Multi-Armed Bandits
[
OpenReview]
Poster
None
Mosaic: Unlocking Over 30$\times$ Context Length for Diffusion LLMs Inference via Global Memory Planning and Dynamic Peak Taming
[
OpenReview]
Poster
None
Efficient Diffusion LLMs via Temporal-Spatial Parallel Decoding and Confidence Extrapolation
[
OpenReview]
Poster
None
Improving Backward Conformal Prediction via Non-Conformity Score Transformation
[
OpenReview]
Poster
None
Tailoring Strictly Proper Scoring Rules for Downstream Tasks: An Application to Causal Inference
[
OpenReview]
Poster
None
Efficient, Validation-Free Intrinsic Quality Estimation for Large-Scale Face Recognition Datasets
[
OpenReview]
Poster
None
From Interaction Trajectories to Prompt Rules: Credit Assignment for Multi-Agent Prompt Optimization
[
OpenReview]
Poster
None
Restoring Initial Noise Sensitivity in Text-to-Image Distillation through Geometric Alignment
[
OpenReview]
Poster
None
Modelling Attention with Aitchison Geometry: Token Distinguishability and Temperature Scaling
[
OpenReview]
Poster
None
Med-SegLens: Latent-Level Model Diffing for Interpretable Medical Image Segmentation
[
Poster]
[
OpenReview]
Poster
None
Unveiling the Potential of Quantization with MXFP4: Strategies for Quantization Error Reduction
[
OpenReview]
Poster
None
Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement
[
OpenReview]
Poster
None
EEmo-Logic: A Unified Dataset and Multi-Stage Framework for Comprehensive Image-Evoked Emotion Assessment
[
OpenReview]
Poster
None
Early Decisions Matter: Proximity Bias and Initial Trajectory Shaping in Non-Autoregressive Diffusion Language Models
[
OpenReview]
Poster
None
Adversarial Vulnerability from Interference Between Features in Superposition
[
OpenReview]
Poster
None
FocalPolicy: Frequency-Optimized Chunking and Locally Anchored Flow Matching for Coherent Visuomotor Policy
[
OpenReview]
Poster
None
iLoRA: Bayesian Low-Rank Adaptation with Latent Interaction Graphs for Microbiome Diagnosis
[
OpenReview]
Poster
None
Probing Newtonian Mechanics in Video Generative Models with Real Physical Systems
[
OpenReview]
Poster
None
Reasoning about Reasoning: BAPO Bounds on Chain-of-Thought Token Complexity in LLMs
[
OpenReview]
Poster
None
SleepMaMi: A Universal Sleep Foundation Model for Integrating Macro- and Micro-structures
[
OpenReview]
Poster
None
AutoQRA: Joint Optimization of Mixed-Precision Quantization and Low-rank Adapters for Efficient LLM Fine-Tuning
[
OpenReview]
Poster
None
EMFormer: Efficient Multi-Scale Transformer for Accumulative Context Weather Forecasting
[
Poster]
[
OpenReview]
Poster
None
Advantage Collapse in Group Relative Policy Optimization: Diagnosis and Mitigation
[
Poster]
[
OpenReview]
Poster
None
What You Think is What You See: Driving Exploration in VLM Agents via Visual-Linguistic Curiosity
[
OpenReview]
Poster
None
Reasoning Cache: Learning to Extrapolate to Long Lengths via Short-Length RL
[
OpenReview]
Poster
None
Pushing the Boundaries of Natural Reasoning: Interleaved Bonus from Formal-Logic Verification
[
OpenReview]
Poster
None
Learning Gaussian Mixture-distributed Prototypes for 3D Scene Graph Generation from RGB-D Sequences
[
Poster]
[
OpenReview]
Poster
None
LEGO: An LLM-Enabled Hierarchical Optimizer for Tensor Computation Graphs with Structure-Aware Search and Compositional Synthesis
[
OpenReview]
Poster
None
CONTINUUM: Restoring the Contiguous Tensor Abstraction Efficiently for Dynamic AI Workloads via Hardware Virtualization
[
OpenReview]
Poster
None
CellBRIDGE: Learning Cellular Trajectories via Interaction-Aware Alignment
[
OpenReview]
Poster
None
StethoLM: Audio Language Model for Cardiopulmonary Analysis Across Clinical Tasks
Poster
None
Contrastive Spectral Rectification: Test-Time Defense towards Zero-shot Adversarial Robustness of CLIP
[
OpenReview]
Poster
None
$f$-Trajectory Balance: A Loss Family for Tuning GFlowNets, Generative Models, and LLMs with Off- and On-Policy Data
[
OpenReview]
Poster
None
Align Your Trajectory Tangent: Training Better Consistency Models via Manifold-Aligned Tangents
[
OpenReview]
Poster
None
VIPO: Value Function Inconsistency Penalized Offline Reinforcement Learning
[
OpenReview]
Poster
None
MAGIC: A Co-Evolving Attacker–Defender Adversarial Game for Robust LLM Safety
[
OpenReview]
Poster
None
Disentangling Intent from Role: Adversarial Self-Play for Persona-Invariant Safety Alignment
[
OpenReview]
Poster
None
When Can You Poison Rewards? A Tight Characterization of Reward Poisoning in Linear MDPs
[
OpenReview]
Poster
None
MC-HNN: Learning Latent Structural Semantics and High-Rank Representations for Hypergraph Neural Networks
[
OpenReview]
Poster
None
Beyond Accuracy and Complexity: The Effective Information Criterion for Structurally Stable Symbolic Regression
[
OpenReview]
Poster
None
Reward Auditor: Inference on Reward Modeling Suitability in Real-World Perturbed Scenarios
[
OpenReview]
Poster
None
Beyond Description: Federated Adaptation via Semantic-Visual Prototype Alignment
[
OpenReview]
Poster
None
Debiased Model-based Representations for Sample-efficient Continuous Control
[
OpenReview]
Poster
None
Kalman Linear Attention: Parallel Bayesian Filtering For Efficient Language Modeling and State Tracking
[
OpenReview]
Poster
None
SetPO: Set-Level Policy Optimization for Diversity-Preserving LLM Reasoning
[
OpenReview]
Poster
None
MetaStreet: Semi-Supervised Multimodal Learning for Street-Level Socioeconomic Prediction
[
OpenReview]
Poster
None
What Makes Effective Supervision in Latent Chain-of-Thought: An Information-Theoretic Analysis
[
OpenReview]
Poster
None
A proximal ADMM for multiblock problems with block anti-upper triangular constraints
[
OpenReview]
Poster
None
From Flat Facts to Sharp Hallucinations: Detecting Stubborn Errors via Gradient Sensitivity
[
OpenReview]
Poster
None
PODiff: Latent Diffusion in Proper Orthogonal Decomposition Space for Scientific Super-Resolution
[
OpenReview]
Poster
None
Bring Future Vision: Dynamic Computation Allocation Guided by Lightweight Feature Forecaster
[
OpenReview]
Poster
None
Rel-MOSS: Towards Imbalanced Relational Deep Learning on Relational Databases
[
OpenReview]
Poster
None
Provable Sample Efficiency of Curriculum Post-Training for Transformer Reasoning
[
OpenReview]
Poster
None
Just-In-Time Reinforcement Learning: Continual Learning in LLM Agents Without Gradient Updates
[
OpenReview]
Poster
None
LIFT: A Novel Framework for Enhancing Long-Context Understanding of LLMs via Long Input Fine-Tuning
[
OpenReview]
Poster
None
SHINE: A Scalable In-Context Hypernetwork for Mapping Context to LoRA in a Single Pass
[
OpenReview]
Poster
None
Sample-Efficient Diffusion-based Reinforcement Learning with Critic Guidance
[
OpenReview]
Poster
None
Watch Your Step: Information Injection in Diffusion Models via Shadow Timestep Embedding
[
OpenReview]
Poster
None
Online Change Point Detection for Multivariate Inhomogeneous Poisson Processes Time Series
[
OpenReview]
Poster
None
Glimpse: Geometry Learning of Multi-scale Structural Priors for 3D Pose Estimation
[
OpenReview]
Poster
None
STRIDE: Post-Training LLMs to Reason and Refine Bio-Sequences via Edit Trajectories
[
OpenReview]
Poster
None
FIRE: Learning to Navigate and Act on Real-World Files via Stateful Reinforcement Learning
[
OpenReview]
Poster
None
Divide-and-Denoise: A Game-Theoretic Method for Fairly Composing Diffusion Models
[
OpenReview]
Poster
None
The Stability of Singular Distribution: A Spectral Perspective on the Two-Phase Dynamics of Language Model Pre-training
[
OpenReview]
Poster
None
BrainJanus: A Foundation Model for Unified Understanding and Generation across Brain, Vision, and Language
[
OpenReview]
Poster
None
HyperPotter: Spell the Charm of High-Order Interactions in Audio Deepfake Detection
[
OpenReview]
Poster
None
Comp-Attn: Present-and-Align Attention for Compositional Video Genneration
[
OpenReview]
Poster
None
On the Sharp Input-Output Analysis of Nonlinear Systems under Adversarial Attacks
[
OpenReview]
Poster
None
GeoReward: Mitigating Contextual Variable Overestimation in Vision-Language Models for Cross-Market Preference Prediction
[
Slides]
[
Poster]
[
OpenReview]
Poster
None
3DGS$^2$-TR: A Scalable Second-Order Trust-Region Method for 3D Gaussian Splatting
[
OpenReview]
Poster
None
Extra-Merge: Tracing the Rank-1 Subspace of Model Merging in Language Model Pre-Training
[
OpenReview]
Poster
None
Contribution Weights: A Geometrical Analysis of Self-Attention Transformers
[
OpenReview]
Poster
None
Front-Loaded Robust Conformal Prediction: Heavy Calibration, Minimal Test-Time Cost
[
OpenReview]
Poster
None
REAL: Resolving Knowledge Conflicts in Knowledge-Intensive Visual Question Answering via Reasoning-Pivot Alignment
[
Slides]
[
OpenReview]
Poster
None
Beyond Token-level Supervision: Unlocking the Potential of Decoding-based Regression via Reinforcement Learning
[
OpenReview]
Poster
None
Hermes: An Evidence-Driven Agentic Framework for Trustworthy and Explainable AI-Generated Video Detection
[
OpenReview]
Poster
None
MVP-LAM: Learning Action-Centric Latent Action via Cross-Viewpoint Reconstruction
[
OpenReview]
Poster
None
CORE-MTL: Rethinking Gradient Balancing via Causal Orthogonal Representations
[
OpenReview]
Poster
None
Spatial Priors via Space Filling Curves for Small and Limited Data Vision Transformers
[
OpenReview]
Poster
None
ImpText: A Benchmark and Tool-Augmented Framework for Implicit Text Reasoning
[
OpenReview]
Poster
None
LeakGFN: Robust Molecular Generation in Generative Flow Networks via Flow Decomposition
[
OpenReview]
Poster
None
Target-Agnostic Calibration under Distribution Shift with Frequency-Aware Gradient Rectification
[
OpenReview]
Poster
None
DuFal: Dual-Frequency-Aware Learning for High-Fidelity Extremely Sparse-view CBCT Reconstruction
Poster
None
Many Needles in a Haystack: Active Hit Discovery for Perturbation Experiments
[
OpenReview]
Poster
None
Position: Why a Dynamical Systems Perspective is Needed to Advance Time Series Modeling
[
OpenReview]
Poster
None
Dynamic Programming for Epistemic Uncertainty in Markov Decision Processes
[
OpenReview]
Poster
None
TabularBERT: Binning-Based Self-Supervised Learning for Tabular Representation
[
OpenReview]
Poster
None
A Graph Foundation Model with Cross-Modal Alignment and Modality-Aware Expert Fusion for Multi-Modal Graphs
[
OpenReview]
Poster
None
Seeking Commonality, Preserving Specificity: A Spectral-Aware Hierarchical Framework for Cross-City Road Representation Learning
[
OpenReview]
Poster
None
EEG-FM-Bench: A Comprehensive Benchmark for the Systematic Evaluation and Diagnostic Analyses of EEG Foundation Models
[
OpenReview]
Poster
None
GLAD: Bidirectional Structure-Attribute Alignment via Latent Graph Diffusion Models
[
OpenReview]
Poster
None
Prediction-Powered Adaptive Inference with Pretrained AI Models for Contextual Bandits
[
OpenReview]
Poster
None
Revisiting Positive Samples in Graph Contrastive Learning: From the Perspective of Message Passing
[
OpenReview]
Poster
None
GP2F: Cross-Domain Graph Prompting with Adaptive Fusion of Pre-trained Graph Neural Networks
[
OpenReview]
Poster
None
Native Parallel Reasoner: Reasoning in Parallelism via Self-Distilled Reinforcement Learning
[
OpenReview]
Poster
None
Escaping the Likelihood Trap: Geometric Diversity Optimization for Long-Form Image Captioning
[
Poster]
[
OpenReview]
Poster
None
RoboTwin 2.0: A Scalable Data Generator and Benchmark with Strong Domain Randomization for Robust Bimanual Robotic Manipulation
[
OpenReview]
Poster
None
SAEs-BrainMap: Unveiling the Emergence of Specialized Concepts in Deep Models via Brain Alignment
[
OpenReview]
Poster
None
Rethinking Feature Alignment in Generalist Graph Anomaly Detection: A Relational Fingerprint-based Approach
[
OpenReview]
Poster
None
The Devil is in the Spectrum: Mitigating Representation Collapse in LLMs via Topologically Regularized Side-Path
[
OpenReview]
Poster
None
GSFixer: Improving 3D Gaussian Splatting with Reference-Guided Video Diffusion Priors
[
Poster]
[
OpenReview]
Poster
None
Textual Stochastic Gradient Descent: Discrete Optimization of External Memory for Reasoning Language Agents
[
OpenReview]
Poster
None
NOMAD: Lifelong Trajectory Planning via Non-Parametric Bayesian Memory-Adaptive Diffusion Experts
[
OpenReview]
Poster
None
ReNF: Rethinking the Principles of Neural Long-Term Time Series Forecasters
[
OpenReview]
Poster
None
When AI Agents Compete for Jobs: Strategic Capabilities and Economic Dynamics of AI Labour Markets
[
OpenReview]
Poster
None
Trading Complexity for Expressivity Through Structured Generalized Linear Token Mixing
[
OpenReview]
Poster
None
Certified Robustness under Heterogeneous Perturbations via Hybrid Randomized Smoothing
[
OpenReview]
Poster
None
Mitigating Label Shift in Tabular In-Context Learning via Test-Time Posterior Adjustment
[
Slides]
[
OpenReview]
Poster
None
Improving the Performance and Learning Stability of Parallelizable RNNs Designed for Ultra-Low Power Applications
[
OpenReview]
Poster
None
Certain Head, Uncertain Tail: Expert-Sample for Test-Time Scaling in Fine-Grained MoE
[
OpenReview]
Poster
None
Early Directional Convergence in Deep Homogeneous Neural Networks for Small Initializations
Poster
None
Well-Posed KL-Regularized Control via Wasserstein and Kalman–Wasserstein KL Divergences
[
OpenReview]
Poster
None
From Perception to Planning: Evolving Ego-Centric Task-Oriented Spatiotemporal Reasoning via Curriculum Learning
[
Poster]
[
OpenReview]
Poster
None
From Optimization to Generalization under Heavy-Tailed Data: The Role of Gradient Clipping
[
OpenReview]
Poster
None
UDM-GRPO: Stable and Efficient Group Relative Policy Optimization for Uniform Discrete Diffusion Models
[
OpenReview]
Poster
None
Where Rectified Flows Leak: Characterizing Membership Signals Along the Interpolation Path
[
OpenReview]
Poster
None
Position: Bridge Human Interpretation and Machine Representation With Explicit Specification For Qualitative Data Analysis In LLM Era
[
OpenReview]
Poster
None
Test-Time Debiasing with Probabilistic Prompts via Wasserstein Distance in Vision-Language Models
[
Slides]
[
Poster]
[
OpenReview]
Poster
None
Why Specialist Models Still Matter: A Heterogeneous Multi-Agent Paradigm for Medical Artificial Intelligence
[
OpenReview]
Poster
None
Learning Useful Supervision for Reinforcement Learning in Reasoning Models
[
OpenReview]
Poster
None
ProRL: Effective Reinforcement Learning for Proactive Recommendation via Rectified Policy Gradient Estimation
[
OpenReview]
Poster
None
Position: Don't Just "Fix it in Post'': A Science of AI Must Study Learning Dynamics
[
OpenReview]
Poster
None
Feature Collapse Under Corruption: An Entropy Perspective on Robust Neural Networks
[
OpenReview]
Poster
None
PolySAE: Modeling Feature Interactions in Sparse Autoencoders via Polynomial Decoding
[
OpenReview]
Poster
None
When Is Rank-1 Enough? Geometry-Guided Initialization for Parameter-Efficient Fine-Tuning
[
OpenReview]
Poster
None
From Reward-Free Representations to Preferences: Rethinking Offline Preference-Based Reinforcement Learning
[
OpenReview]
Poster
None
The Illusion of Generalization: Instruction-Following, Task Bias and Contamination in Tabular Language Model Evaluation
[
OpenReview]
Poster
None
SlaClip: Gradient Norm Slacks can be Indicator for Adaptive Clipping in DP-SGD
[
OpenReview]
Poster
None
Return-Critic: Bridging Goal Discrepancy for Efficient Visual Reinforcement Learning
[
OpenReview]
Poster
None
DiffStyle3D: Consistent 3D Gaussian Stylization via Attention Optimization
[
OpenReview]
Poster
None
From Talking to Singing: A New Challenge for Audio-Visual Deepfake Detection
[
OpenReview]
Poster
None
OmniShow: Orchestrating Multimodal Conditions for Human-Object Interaction Video Generation
[
OpenReview]
Poster
None
TimeAutoDiff: A Unified Framework for Generation, Imputation, Forecasting, and Time-Varying Metadata Conditioning of Heterogeneous Time Series Tabular Data
Poster
None
Creat3r: Confidence Reaggregation for Exploration-aware Active 3D Reconstruction
[
OpenReview]
Poster
None
AVGen-Bench: A Task-Driven Benchmark for Multi-Granular Evaluation of Text-to-Audio-Video Generation
[
OpenReview]
Poster
None
Preference-based Antibody Expression Ranking: Scaling with Large-scale Weak Supervision
[
OpenReview]
Poster
None
Privacy-Aware Video Anomaly Detection: Guided Orthogonal Projection and a Comprehensive Evaluation Framework
[
OpenReview]
Poster
None
Vision in One Vector: Implicit Visual Compression with Diffusion Foundation Models
[
OpenReview]
Poster
None
ScaleEnv: Scaling Environment Synthesis from Scratch for Generalist Interactive Tool-Use Agent Training
[
OpenReview]
Poster
None
Learning to Think in Physics: Breaking Shortcut Learning in Scientific Diffusion via Representation Alignment
[
OpenReview]
Poster
None
Representational Curvature Shapes Behavioral Uncertainty in Large Language Models
[
OpenReview]
Poster
None
Iterative Robust Satisficing: Minimizing Performance Degradation Under Distribution Shift
[
OpenReview]
Poster
None
$A_2$DEPT: Large Language Model–Driven Automated Algorithm Design via Evolutionary Program Trees
[
OpenReview]
Poster
None
Joint Enhancement and Classification using Coupled Diffusion Models of Signals and Logits
[
OpenReview]
Poster
None
TCAP: Tri-Component Attention Profiling for Unsupervised Backdoor Detection in MLLM Fine-Tuning
[
OpenReview]
Poster
None
Referring Multiple Regions with Large Multimodal Models via Contextual Latent Steering
[
OpenReview]
Poster
None
Think-at-Hard: Selective Latent Iterations to Improve Reasoning Language Models
[
OpenReview]
Poster
None
A Cartesian-3j and nj Framework for Machine Learning Interatomic Potentials
[
OpenReview]
Poster
None
PACT: Self-Evolving Physical Safety Alignment for Diffusion Policies in Embodied Manipulation
[
OpenReview]
Poster
None
Temporal Difference Calibration in Sequential Tasks: Application to Vision-Language-Action Models
[
OpenReview]
Poster
None
Enhanced Multi-Instance Partial Label Learning via Average Gradient Outer Product
[
OpenReview]
Poster
None
DAL: A Practical Prior-Free Black-Box Framework for Piecewise Stationary Bandits
[
OpenReview]
Poster
None
Optimality of FSQ tokens for continuous diffusion for categorical data with application to text-to-speech
[
OpenReview]
Poster
None
SparseSSM: Efficient Selective Structured State Space Models Can Be Pruned in One-Shot
[
OpenReview]
Poster
None
Co-RedTeam: Orchestrated Security Discovery and Exploitation with LLM Agents
[
OpenReview]
Poster
None
ThoughtFold: Folding Reasoning Chains via Introspective Preference Learning
[
OpenReview]
Poster
None
Correcting Visual Blur Induced by Attention Distraction to Reduce Hallucinations: Algorithm and Theory
[
OpenReview]
Poster
None
Unlearning with Asymmetric Sources: Improved Unlearning-Utility Trade-off with Public Data
[
OpenReview]
Poster
None
Hearing Without Noticing? Attention-Aware Stealthy Black-box Adversarial Audio Attacks
[
Slides]
[
OpenReview]
Poster
None
An Empirical Study on the Resilience of Partial Merging to Model Clone Attacks
[
OpenReview]
Poster
None
SoftJAX & SoftTorch: Empowering Automatic Differentiation Libraries with Informative Gradients
[
OpenReview]
Poster
None
Learning-Guided Integration Contours Construction for Fast Large-Scale Generalized Eigensolvers
[
OpenReview]
Poster
None
ArborKV: Structure-Aware KV Cache Management for Scaling Tree-based LLM Reasoning
[
OpenReview]
Poster
None
InfoGeo: Information-Theoretic Object-Centric Learning for Cross-View Generalizable UAV Geo-Localization
[
OpenReview]
Poster
None
HiDe: Rethinking The Zoom-IN method in High Resolution MLLMs via Hierarchical Decoupling
[
OpenReview]
Poster
None
ExPLAIND: Unifying Model, Data, and Training Attribution to Study Model Behavior
[
OpenReview]
Poster
None
Selective Coupling of Decoupled Informative Regions: Masked Attention Alignment for Data-Free Quantization of Vision Transformers
[
OpenReview]
Poster
None
Rethinking Serialization in Linear 3D Vision: Decoupling Anisotropic Geometry from Isotropic Semantics
[
OpenReview]
Poster
None
Decoupling Universal Laws and Environmental Heterogeneity: A Physics-Inspired Framework for Robust Spatio-Temporal Forecasting
[
OpenReview]
Poster
None
Geometry-Guided Modeling of Foundation Features Enables Generalizable Object Shape Deformation Learning
[
OpenReview]
Poster
None
Learning Coherent Representations: A Topological Approach to Interpretability
[
OpenReview]
Poster
None
Convex Distance Operator Transport: Convex and Geometry-Preserving Information
[
OpenReview]
Poster
None
Graph Alignment via Dual-Pass Spectral Encoding and Latent Space Communication
[
OpenReview]
Poster
None
Reinforcement Learning for Tool-Calling Agents in Fast Healthcare Interoperability Resources (FHIR)
[
OpenReview]
Poster
None
Equivariant Covariance Tensors: Guaranteed SPD Uncertainty for Tensor-Valued Geometric Learning
[
OpenReview]
Poster
None
EchoAttention: Exploiting Token-Pair Redundancy and Frame-Block Similarity for Efficient Long Video Generation
[
OpenReview]
Poster
None
Conditional KRR: Injecting Unpenalized Features into Kernel Methods with Applications to Kernel Thresholding
[
OpenReview]
Poster
None
Adaptive Volumetric Mechanical Property Fields Invariant to Resolution
[
Slides]
[
OpenReview]
Poster
None
MAPS: Memory-Aware Predictive Scheduling Framework for Large Language Models Serving
[
OpenReview]
Poster
None
SSDCN: Spatial-Spectral Dual-Clustering-based Network for Hyperspectral Image Super-resolution
[
Poster]
[
OpenReview]
Poster
None
MOD-SR: Unifying Multimodal Learning and Direct Optimization with Gradient-Guided Diffusion Model for Symbolic Regression
[
OpenReview]
Poster
None
InfiMed-ORBIT: Aligning LLMs on Open-Ended Complex Tasks via Rubric-Based Incremental Training
[
OpenReview]
Poster
None
Order Matters: Unveiling the Hidden Impact of Macro Placement Sequences via Proxy-Guided LLM Evolution
[
OpenReview]
Poster
None
Decoupling Regularization and Privacy in Differentially Private Ridge Regression and ERM
[
OpenReview]
Poster
None
Reinforcement Learning from Bagged Reward
Poster
None
HVR-Met: A Hypothesis-Verification-Replaning Agentic System for Extreme Weather Diagnosis
[
OpenReview]
Poster
None
MVI-Bench: A Comprehensive Benchmark for Evaluating Robustness to Misleading Visual Inputs in LVLMs
[
Poster]
[
OpenReview]
Poster
None
Improved Dimension Dependence for Bandit Convex Optimization with Gradient Variations
[
OpenReview]
Poster
None
Scalable Power Sampling: Unlocking Efficient, Training-Free Reasoning for LLMs via Distribution Sharpening
[
OpenReview]
Poster
None
LoPhyDA: Low-Rank Tensor and Physics Gradient Guided Diffusion for Atmospheric Data Assimilation
[
OpenReview]
Poster
None
Learning to Refine: Spectral-Decoupled Iterative Refinement Framework for Precipitation Nowcasting
[
OpenReview]
Poster
None
Learning to Memorize with Attributive and Associative Memory for Online Test-Time Adaptation of Vision-Language Models
[
OpenReview]
Poster
None
Evaluating and Explaining Prompt Sensitivity of LLMs Using Interactions
[
Slides]
[
Poster]
[
OpenReview]
Poster
None
Scalable Kronecker-Factored Fisher Approximation for Neural Network Parameter Sensitivity
[
OpenReview]
Poster
None
LDARNet: DNA Adaptive Representation Network with Learnable Tokenization for Genomic Modeling
[
OpenReview]
Poster
None
Rethinking the Flow-based Gradual Domain Adaption: A Semi-Dual Optimal Transport Perspective
[
OpenReview]
Poster
None
Recognize Your Orchestrator: An Entropy Dynamics Perspective for LLM Multi-Agent Systems
[
OpenReview]
Poster
None
Contractive Anchor Resolvent Diffusion for Incomplete Multi-View Clustering
[
OpenReview]
Poster
None
Beyond Logits: Coherent Hallucination Mitigation via Attention Contrastive Decoding
[
OpenReview]
Poster
None
Beyond Blind Noising: Disentangled Visual Rectification for Hallucination Mitigation in MLLMs
[
OpenReview]
Poster
None
A Unified Approach to Interpreting Knowledge Distillation for Large Language Models via Interactions
[
Slides]
[
Poster]
[
OpenReview]
Poster
None
AugServe: Adaptive Request Scheduling for Augmented Large Language Model Inference Serving
[
OpenReview]
Poster
None
FS-I2P: A Hierarchical Focus–Sweep Registration Network with Dynamically Allocated Depth
[
OpenReview]
Poster
None
Spectral Heat Flow for Conservative Token Condensation in Vision-Language Models
[
OpenReview]
Poster
None
CauchyNet: Compact and Data-Efficient Learning using Holomorphic Activation Functions
[
OpenReview]
Poster
None
Mind Your Entropy: From Maximum Entropy to Trajectory Entropy-Constrained RL
[
OpenReview]
Poster
None
CoCoReviewBench: A Completeness- and Correctness-Oriented Benchmark for AI Reviewers
[
OpenReview]
Poster
None
XTransfer: Modality-Agnostic Few-Shot Model Transfer for Human Sensing at the Edge
[
OpenReview]
Poster
None
Compute as Teacher: Turning Inference Compute Into Reference-Free Supervision
[
Poster]
[
OpenReview]
Poster
None
Decompose, Structure, and Repair: A Neuro-Symbolic Framework for Autoformalization via Operator Trees
[
Poster]
[
OpenReview]
Poster
None
Tracing the Persona Circuit: How Large Language Models Encode and Express Character Traits
[
OpenReview]
Poster
None
Unlearning Isn’t Forgetting: Revealing Hidden Leakage in Class Unlearning Evaluations
[
OpenReview]
Poster
None
Understand and Accelerate Memory Processing Pipeline for Large Language Model Inference
[
Poster]
[
OpenReview]
Poster
None
Breaking the Capacity Bottleneck in Model-Heterogeneous Federated Learning via Gradual Model Restoration
[
OpenReview]
Poster
None
StyleDistillation: A New Insight of Image Style Enables Personalized Aesthetic Manipulation
[
OpenReview]
Poster
None
Towards Universal Gene Regulatory Network Inference: Unlocking Generalizable Regulatory Knowledge in Single-cell Foundation Models
[
OpenReview]
Poster
None
LMCleaner: Efficient and Certified Online Unlearning via Influence Propagation Truncation
[
OpenReview]
Poster
None
The Devil is in the Condition Numbers: Why is GLU Better than non-GLU Structure?
[
OpenReview]
Poster
None
DDSVM: A Differentiable Framework for Deep Support Vector Machines with Iterative Geometry-Aware Optimization
[
OpenReview]
Poster
None
SMD: Multi-view Safety-Critical Driving Video Generation in the Real-world Domain
[
OpenReview]
Poster
None
Don't Forget Why You Started: Tackling Dual Forgetting in Vision-Language Continual Learning
[
OpenReview]
Poster
None
mSOP-765k: A Benchmark For Multi-Modal Structured Output Predictions
Poster
None
Theoretical Analysis of Sparse Optimization with Reparameterization, Weight Decay, and Adaptive Learning Rate
[
OpenReview]
Poster
None
Dataset Distillation Efficiently Encodes Low-Dimensional Representations from Gradient-Based Learning of Non-Linear Tasks
[
OpenReview]
Poster
None
Two Modalities Are Better Than One: Efficient Adversarial Purification via Multimodal Diffusion Models
[
OpenReview]
Poster
None
Learning Treatment Representations for Downstream Instrumental Variable Regression
[
OpenReview]
Poster
None
Graph of States: Solving Abductive Tasks with Large Language Models
[
Poster]
[
OpenReview]
Poster
None
Attention Hijacking: Backdooring Text Dataset Distillation via Semantic Anchors
[
OpenReview]
Poster
None
InstEmb: Instruction-Following Embeddings through Glimpses of the Future
[
Slides]
[
OpenReview]
Poster
None
VLA-Arena: An Open-Source Framework for Benchmarking Vision-Language-Action Models
[
OpenReview]
Poster
None
Mind-Omni: A Unified Multi-Task Framework for Brain-Vision-Language Modeling via Discrete Diffusion
[
OpenReview]
Poster
None
TraCeS: Learning Per-Timestep Constraint-Violation Credit from Sparse Trajectory-Level Labels
[
OpenReview]
Poster
None
Empty Shelves or Lost Keys? Recall Is the Bottleneck for Parametric Factuality
[
OpenReview]
Poster
None
SWE-MiniSandbox: Container-Free Reinforcement Learning for Building Software Engineering Agents
[
OpenReview]
Poster
None
AnomSeer: Reinforcing Multimodal LLMs to Reason for Time-Series Anomaly Detection
[
OpenReview]
Poster
None
CORAL: Uncertainty-Aware Regulation of Exposure Concentration in Recommender Systems
[
OpenReview]
Poster
None
OLion: Approaching the Hadamard Ideal by Intersecting Spectral and L inf Implicit Biases
[
OpenReview]
Poster
None
Localize and Neutralize: Gradient-Guided Token Suppression Against Visual Prompt Injection Attack
[
OpenReview]
Poster
None
The Bridge-Garden Dilemma in LLM Distillation: Why Mixing Hard and Soft Labels Works
[
OpenReview]
Poster
None
IndexMem: Learned KV-Cache Eviction with Latent Memory for Long-Context LLM Inference
[
OpenReview]
Poster
None
RuCL: Stratified Rubric-Based Curriculum Learning for Multimodal Large Language Model Reasoning
[
OpenReview]
Poster
None
Representation Drift Compensation: A Zero-Cost Enhancement for LLM Decomposition
[
Poster]
[
OpenReview]
Poster
None
BTSP-CAM: A Brain-Inspired Geometric Memory for Class-Incremental Learning
[
OpenReview]
Poster
None
The Geometry of Narrow Fine-Tuning Degradation: Trajectory Lock-in and Spectral Bifurcation
[
OpenReview]
Poster
None
APIC: Orthogonalized Neuro-Symbolic Modeling for Nonlinear Dissipative Dynamics
[
OpenReview]
Poster
None
SOLAR: Self-supervised Joint Learning for Symmetric Multimodal Retrieval
[
Poster]
[
OpenReview]
Poster
None
Deep Residual Injection for Full-Spectrum Forensic Signal Perception in Multimodal Large Language Models
[
OpenReview]
Poster
None
EpiTwin: Spatiotemporal Graph Transformers for Epileptic sEEG Signal Reconstruction
[
OpenReview]
Poster
None
Post-Training LLMs as Better Decision-Making Agents: A Regret-Minimization Approach
[
OpenReview]
Poster
None
DyLLM: Efficient Diffusion LLM inference via saliency-based token selection and partial attention
[
OpenReview]
Poster
None
Knapsack RL: Unlocking Exploration of LLMs via Optimizing Budget Allocation
[
OpenReview]
Poster
None
Long Live The Balance: Information Bottleneck Driven Tree-based Policy Optimization
[
OpenReview]
Poster
None
D-CORE: Incentivizing Task Decomposition in Large Reasoning Models for Complex Tool Use
[
OpenReview]
Poster
None
The Silent Thought: Modeling Internal Cognition in Full-Duplex Spoken Dialogue Models via Latent Reasoning
[
Slides]
[
OpenReview]
Poster
None
Recovering Policy-Induced Errors: Benchmarking and Trajectory Synthesis for Robust GUI Agents
[
OpenReview]
Poster
None
OnePO: Direct One-stage Policy Optimization for SFT-free Domain Adaptation
[
OpenReview]
Poster
None
Knothe-Rosenblatt Quantile Regression for Risk-sensitive Multi-objective Reinforcement Learning
[
OpenReview]
Poster
None
Semantic Cache Distillation: Efficient State Transfer via Reuse and Selective Patching
[
OpenReview]
Poster
None
Non-Adversarial Imitation Learning Provably Free of Compounding Errors: The Role of Bellman Constraints
[
OpenReview]
Poster
None
SWE-Compass: Towards Unified Evaluation of Agentic Coding Abilities for Large Language Models
[
OpenReview]
Poster
None
Where Signals Are Sparse, We Synthesize: Reinforcing Self-Corrective Reasoning in Vision–Language Models via Rollout Augmentation
[
OpenReview]
Poster
None
PETS: A Principled Framework Towards Optimal Trajectory Allocation for Efficient Test-Time Self-Consistency
[
OpenReview]
Poster
None
Inference of Online Newton Methods with Nesterov's Accelerated Sketching
[
Slides]
[
Poster]
[
OpenReview]
Poster
None
A Mechanistic Understanding of Sim-and-Real Co-Training in Generative Policies
[
OpenReview]
Poster
None
Position: Modular Safety Guardrails Are Necessary for Foundation-Model-Enabled Robots in the Real World
[
OpenReview]
Poster
None
Mitigating Reward Hacking in LLM-based Recommendation: A Preference Optimization Approach
[
OpenReview]
Poster
None
Awakening Visual Reasoning: Mitigating Post-Training Failure in Vision-Text Compression
[
OpenReview]
Poster
None
U-Cast: A Surprisingly Simple Frontier Probabilistic AI Weather Forecaster
[
OpenReview]
Poster
None
Grouter: Decoupling Routing from Representation for Accelerated MoE Training
[
OpenReview]
Poster
None
Adaptive Quasimetric Mapping : Principled Topological Abstraction for Robust Offline Goal-Conditioned Navigation
[
OpenReview]
Poster
None
Predictive variational inference: Learn the predictively optimal posterior distribution
[
OpenReview]
Poster
None
TelecomTS: A Multi-Modal Observability Dataset for Time Series and Language Analysis
[
Slides]
[
Poster]
[
OpenReview]
Poster
None
Entropy-Aware Dynamic KV Cache Sparsification for Autoregressive Image Generation and Editing
[
OpenReview]
Poster
None
ReCoG: Relational and Compact Context Graph Learning for Few-shot Molecular Property Prediction
[
OpenReview]
Poster
None
Autoregressive, Yet Revisable: In Decoding Revision for Secure Code Generation
[
OpenReview]
Poster
None
ST-TGExplainer: Disentangling Stability and Transition Patterns for Temporal GNN Interpretability
[
OpenReview]
Poster
None
EvoEGF-Mol: Evolving Exponential Geodesic Flow for Structure-based Drug Design
[
Poster]
[
OpenReview]
Poster
None
Any-Order GPT as Masked Diffusion Model: Decoupling Formulation and Architecture
[
OpenReview]
Poster
None
Nash Equilibria in Games with Playerwise Concave Coupling Constraints: Existence and Computation
[
OpenReview]
Poster
None
Multi-Objective Protein Design via Memory-Aware Test-Time Scaling in Diffusion Models
[
OpenReview]
Poster
None
Advantage Weighted Matching: Aligning RL with Pretraining in Diffusion Models
[
OpenReview]
Poster
None
Coupled Trigger Optimization and Vulnerable Parameter Alignment for Persistent Backdoor Attacks on Federated Learning
[
OpenReview]
Poster
None
PosterAgent: Agentic Poster Generation via Stage-Aware Reinforcement Learning
[
OpenReview]
Poster
None
CoF-T2I: Video Models as Pure Visual Reasoners for Text-to-Image Generation
[
OpenReview]
Poster
None
Cognitive Fatigue in Autoregressive Transformers: Formalization and Measurement
[
OpenReview]
Poster
None
Demystifying Mergeability: Interpretable Properties to Predict Model Merging Success
[
OpenReview]
Poster
None
From geometry to dynamics: Learning overdamped Langevin dynamics from sparse observations with geometric constraints
[
OpenReview]
Poster
None
Bridging Local–Global Dissonance: Learning from Compressive Measurements for Hyperspectral Reconstruction
[
Slides]
[
Poster]
[
OpenReview]
Poster
None
Spik4lite: Refactoring Neuromorphic Sparsity for Efficient Spiking Neural Networks on Commodity Edge Devices
[
OpenReview]
Poster
None
SAME: Stabilized Mixture-of-Experts for Multimodal Continual Instruction Tuning
[
OpenReview]
Poster
None
Incentivized Exploration with Stochastic Covariates: A Two-Stage Mechanism Design for Recommender System
[
OpenReview]
Poster
None
AREA: Attribute Extraction and Aggregation for CLIP-Based Class-Incremental Learning
[
OpenReview]
Poster
None
DecomPose: Disentangling Cross-Category Optimization Contention for Category-Level 6D Object Pose Estimation
[
OpenReview]
Poster
None
The Structural Origin of Attention Sink: Variance Discrepancy, Super Neurons, and Dimension Disparity
[
OpenReview]
Poster
None
ArenaRL: Scaling RL for Open-Ended Agents via Tournament-based Relative Ranking
[
OpenReview]
Poster
None
Optimal Design for Multinomial Logit Model with Applications to Best Assortment Identification
[
OpenReview]
Poster
None
Breaking the Lock-in: Diversifying Text-to-Image Generation via Representation Modulation
[
OpenReview]
Poster
None
ROAMM: A Benchmark Dataset for Multimodal Human Attention Decoding and EEG-to-Text Modeling During Naturalistic Reading
[
OpenReview]
Poster
None
Follow-the-Perturbed-Leader for Decoupled Bandits: Best-of-Both-Worlds and Practicality
[
OpenReview]
Poster
None
Robust Multi-View Fusion via Prototype-Anchored Unbalanced Optimal Transport
[
OpenReview]
Poster
None
VimRAG: Navigating Massive Visual Context in Retrieval-Augmented Generation via Multimodal Memory Graph
[
OpenReview]
Poster
None
COGNOS: Universal Enhancement for Time Series Anomaly Detection via Constrained Gaussian-Noise Optimization and Smoothing
[
OpenReview]
Poster
None
Unveiling Prior-data Fitted Networks on Causal Effect Estimation: Pre-training or Finetuning?
[
OpenReview]
Poster
None
Lavida-R1: Advancing Reasoning for Unified Multimodal Diffusion Language Models
[
OpenReview]
Poster
None
Both Semantics and Reconstruction Matter: Making Representation Encoders Ready for Text-to-Image Generation and Editing
[
OpenReview]
Poster
None
Beyond Fixed Biases: Decoding the Role of Reasoning Uncertainty in MLLM Modality Conflicts
[
OpenReview]
Poster
None
Decentralized Online Convex Optimization with Efficient Communication: Improved Algorithm and Lower Bounds
[
OpenReview]
Poster
None
Beyond the Final Answer: Evaluating the Reasoning Trajectories of Tool-Augmented Agents
[
Slides]
[
OpenReview]
Poster
None
OpenGPT-4o-Image: A Comprehensive Dataset for Advanced Image Generation and Editing
[
OpenReview]
Poster
None
RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments
[
OpenReview]
Poster
None
D$^2$O: A Dual Debiasing Operator for Training-Free Test-Time Adaptation of Vision–Language Models
[
OpenReview]
Poster
None
HSGG: Training-Free Hierarchical Scene Graph Generation with Geometry-Guided Relation Reasoning
[
OpenReview]
Poster
None
When Tabular Foundation Models Meet Strategic Tabular Data: A Prior Alignment Approach
[
OpenReview]
Poster
None
AutoMoT: A Unified Vision-Language-Action Model with Asynchronous Mixture -of-Transformers for End-to-End Autonomous Driving
[
Poster]
[
OpenReview]
Poster
None
Agentic Proposing: Enhancing Large language Model Reasoning via Compositional Skill Synthesis
[
OpenReview]
Poster
None
A Pure Hierarchical Spectral Parcellation Network for Brain Network Analysis
[
OpenReview]
Poster
None
Dive into the Scene: Breaking the Perceptual Bottleneck in Vision-Language Decision Making via Focus Plan Generation
[
OpenReview]
Poster
None
Rethinking Loss Reweighting for Imbalance Learning as an Inverse Problem: A Neural Collapse Point of View
[
OpenReview]
Poster
None
Fix the Loss, Not the Radius: Rethinking the Adversarial Perturbation of Sharpness-Aware Minimization
[
OpenReview]
Poster
None
Plan Then Action: High-Level Planning Guidance Reinforcement Learning for LLM Reasoning
[
OpenReview]
Poster
None
Manifold-Optimal Guidance: A Unified Riemannian Control View of Diffusion Guidance
[
OpenReview]
Poster
None
Latent Laplace Diffusion for Irregular Multivariate Time Series
[
Slides]
[
Poster]
[
OpenReview]
Poster
None
OmniDenseCap: Scripting Multi-Scene Videos with Time-Aware and Structural Audio-Visual Captions
[
OpenReview]
Poster
None
Coverage ≠ Exposure: Auditable Control of Same-Support Tail Failures under Multimodal Missingness
[
OpenReview]
Poster
None
Decoding Safety Feedback from Diverse Raters: A Data-driven Lens on Responsiveness to Severity
Poster
None
3D MeanFlow: One-Step Point Cloud Completion and Generation via Average-Velocity Transport
[
OpenReview]
Poster
None
Toward Stable Value Alignment: Introducing Independent Modules for Consistent Value Guidance
[
OpenReview]
Poster
None
Beyond Soft Labels: Unifying Dataset Pruning and Distillation for Efficient Large-scale Compression
[
OpenReview]
Poster
None
Optimizing Network Simulation: Enhancing Performance Prediction Accuracy via Neural Architecture Search
[
OpenReview]
Poster
None
HONet: Data-Efficient Learning for Exact Cover Problems via Hypergraph Optimization
[
OpenReview]
Poster
None
PADS-TAL: Padding-Annealed Diffusion Sampling in Text-Aware Latent Space for Robust and Diverse Text-to-Music Generation
[
Slides]
[
Poster]
[
OpenReview]
Poster
None
Learning Treatment Allocations with Risk Control Under Partial Identifiability
[
OpenReview]
Poster
None
Information dynamics and Memory in Neural Networks through Fisher Information Diffusion
[
OpenReview]
Poster
None
Approximate Nearest Neighbor Search for Modern AI: A Projection-Augmented Graph Approach
[
OpenReview]
Poster
None
Width Independent Bounds for the Local Lipschitz Constant of Deep Neural Networks at Random Initialization and after Lazy Training
[
OpenReview]
Poster
None
CLAM-Bench: Benchmarking LLM Agents for Library-Scale Cross-Architecture Migration
[
OpenReview]
Poster
None
EmWorld: Emotion World Model with Latent State Evolution for Scenario-Incremental Dynamic Facial Expression Recognition
[
OpenReview]
Poster
None
Linear Bandits beyond Inner Product Spaces, the case of Bandit Optimal Transport
[
OpenReview]
Poster
None
Masks Can Be Distracting: On Context Comprehension in Diffusion Language Models
[
OpenReview]
Poster
None
Position: The Time for Sampling Is Now! Charting a New Course for Bayesian Deep Learning
[
OpenReview]
Poster
None
AtelierEval: Agentic Evaluation of Humans & LLMs as Text-to-Image Prompters
[
OpenReview]
Poster
None
GeoFlow: Geo-Aware Modeling of Inter-Area Relationships in OD Flow Prediction and Generation
[
OpenReview]
Poster
None
Position: Human-Centric Vision Requires Topological Generalization Beyond Fixed Skeletal Topologies
[
OpenReview]
Poster
None
AAD-1: Asymmetric Adversarial Distillation for One-Step Autoregressive Video Generation
[
Slides]
[
OpenReview]
Poster
None
Local Intrinsic Dimension of Representations Predicts Alignment and Generalization in AI Models and Human Brain
[
OpenReview]
Poster
None
Understanding Generalization from Embedding Dimension and Distributional Convergence
[
OpenReview]
Poster
None
World-Model Inspired Emotion-aware Token Refinement for Training-Free Multimodal Emotion Recognition
[
OpenReview]
Poster
None
Tabero: Learning Gentle Manipulation with Closed-Loop Force Feedback from Vision, Touch, and Language
[
OpenReview]
Poster
None
Reinforcement Learning from Human Feedback with Active Queries
Poster
None
SpaCeFormer: Space-Curve Transformer for Open-Vocabulary 3D Instance Segmentation without Proposals
[
OpenReview]
Poster
None
VENOMREC: Cross-Modal Interactive Poisoning for Targeted Promotion in Multimodal LLM Recommender Systems
[
OpenReview]
Poster
None
STEP: Warm-Started Visuomotor Policies with Spatiotemporal Consistency Prediction
[
OpenReview]
Poster
None
One Bias After Another: Mechanistic Reward Shaping and Persistent Biases in Language Reward Models
[
OpenReview]
Poster
None
Principled SVD-based Delta Compression via Quantization Error Minimization
[
OpenReview]
Poster
None
PhysHanDI: Physics-Based Reconstruction of Hand-Deformable Object Interactions
[
OpenReview]
Poster
None
Cello: A Universal Cell-wise Feature Aggregation framework for Reliable Pathology Images Analysis
[
Poster]
[
OpenReview]
Poster
None
Elign: Equivariant Diffusion Model Alignment from Foundational Machine Learned Force Fields
[
OpenReview]
Poster
None
Language Bias in LVLMs: From In-Depth Analysis to Simple and Effective Mitigation
[
OpenReview]
Poster
None
MEG-XL: Data-Efficient Brain-to-Text via Long-Context Pre-Training
[
Poster]
[
OpenReview]
Poster
None
XDomainBench: Diagnosing Reasoning Collapse in High-Dimensional Scientific Knowledge Composition
[
OpenReview]
Poster
None
AgentVocab: Structure-Aware Vocabulary Adaptation for Efficient LLM Agents
[
OpenReview]
Poster
None
Expanding the Chaos: Neural Operator for Stochastic (Partial) Differential Equations
[
OpenReview]
Poster
None
Secure Multi-agent Reinforcement Learning for Service Systems with Affinity and Byzantine Nodes: Stability Analysis and Protection Design
[
OpenReview]
Poster
None
From Parameter Dynamics to Risk Scoring: Quantifying Sample-Level Safety Degradation in LLM Fine-tuning
[
OpenReview]
Poster
None
TapSampling: Inference-Time Sampling with a Task-Progress-Understanding Verifier for Robotic Manipulation
[
OpenReview]
Poster
None
LLM-based Embeddings: Attention Values Encode Sentence Semantics Better Than Hidden States
[
OpenReview]
Poster
None
OmniFit: Bridging Modalities via Layer-Adaptive Token Compression for Omnimodal Large Language Models
[
OpenReview]
Poster
None
MultiPriv: Benchmarking Individual-Level Privacy Reasoning in Vision-Language Models
[
OpenReview]
Poster
None
RGMem: Renormalization Group–inspired Memory Evolution for Language Agents
[
OpenReview]
Poster
None
DTKG: Dual-Track Knowledge Graph-Verified Reasoning Framework for Multi-Hop QA
[
OpenReview]
Poster
None
SubspacePath Pruner: Inference-time Pruning via Probe-based Representation–Parameter Coupling
[
OpenReview]
Poster
None
KBQA-R1: Reinforcing Large Language Models for Knowledge Base Question Answering
[
OpenReview]
Poster
None
Multi-Head LatentMoE and Head Parallel: Communication-Efficient and Deterministic MoE Parallelism
[
OpenReview]
Poster
None
Decoupling Skeleton and Flesh: Efficient Multimodal Table Reasoning with Disentangled Alignment and Structure-aware Guidance
[
OpenReview]
Poster
None
Jailbreak Foundry: From Papers to Runnable Attacks for Reproducible Benchmarking
[
OpenReview]
Poster
None
ProphetKV: User-Query-Driven Selective Recomputation for Efficient KV Cache Reuse in Retrieval-Augmented Generation
[
OpenReview]
Poster
None
Optimizing Inference-Time Compute for Medical Reasoning via Uncertainty Quantification
[
OpenReview]
Poster
None
Sheaf Neural Networks on SPD Manifolds: Second-Order Geometric Representation Learning
[
OpenReview]
Poster
None
What Reward Structure Enables Efficient Sparse-Reward RL? A Proof-of-Concept with Policy-Aware Matrix Completion
[
OpenReview]
Poster
None
Metric–-Phase Fields: Decoupling Distance and Sign for Thin-Structure Reconstruction from Unoriented Point Clouds
[
OpenReview]
Poster
None
Proximal Decoding: Provably Reducing Copyright Risk for Any Language Model
[
OpenReview]
Poster
None
A Provable Expressiveness Hierarchy in Hybrid Linear-Full Attention
[
Slides]
[
Poster]
[
OpenReview]
Poster
None
Gradient Flow Dynamics and Implicit Bias of Diagonal Linear Networks under Infinitesimal Initialization
[
OpenReview]
Poster
None
One Tool Is Enough: Reinforcement Learning of LLM Agents for Repository-Level Code Navigation
[
OpenReview]
Poster
None
Infinite-Precision Autoregressive Modeling for Vector Graphics and Layouts
[
OpenReview]
Poster
None
Second-Order Bilevel Optimization with Accelerated Convergence Rates
[
Poster]
[
OpenReview]
Poster
None
Internalizing Safety Understanding in Large Reasoning Models via Verification
[
OpenReview]
Poster
None
AGoQ: Activation and Gradient Quantization for Memory-Efficient Distributed Training of LLMs
[
OpenReview]
Poster
None
Towards Understanding Generalization of Federated Adversarial Learning: Perspective of Algorithmic Stability
[
OpenReview]
Poster
None
Robust-U1: Can MLLMs Self-Recover Corrupted Visual Content for Robust Understanding?
[
OpenReview]
Poster
None
Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation
[
OpenReview]
Poster
None
MedCRP-CL: Continual Medical Image Segmentation via Bayesian Nonparametric Semantic Modality Discovery
[
OpenReview]
Poster
None
FoeGlass: When Simple In-Context Learning Is Enough for Red Teaming Audio Deepfake Detectors
[
OpenReview]
Poster
None
From Blind Spots to Gains: Diagnostic-Driven Iterative Training for Large Multimodal Models
[
OpenReview]
Poster
None
Video-BCI: Bayesian Cognitive Integration of Self-Prior Hypotheses for Video Understanding
[
OpenReview]
Poster
None
FlexiFlow: decomposable flow matching for generation of flexible molecular ensemble
[
OpenReview]
Poster
None
Spiked-CFR: Causal Representation Learning from LLMs via Wasserstein Projection Pursuit
[
OpenReview]
Poster
None
CollabBench: Benchmarking and Unleashing Collaborative Ability of LLMs with Diverse Players via Proactive Engagement
[
OpenReview]
Poster
None
Generative Representation Learning on Hyper-relational Knowledge Graphs via Masked Discrete Diffusion
[
OpenReview]
Poster
None
Preference-Calibrated Optimization with Score-Level Distribution Alignment for Text-to-Image Diffusion Model Unlearning
[
OpenReview]
Poster
None
Bridging On-Device and Cloud LLMs for Collaborative Reasoning: A Unified Methodology for Local Routing and Post-Training
[
Slides]
[
OpenReview]
Poster
None
PDAgent: An LLM-Driven Autonomous Agent Framework Towards *In Silico* Protein Design via Directed Mutation
[
OpenReview]
Poster
None
GR-LoRA: Gradient-Recycling Low-Rank Adaptation for Class-Incremental Learning
[
OpenReview]
Poster
None
Alleviating Sparse Rewards by Modeling Step-Wise and Long-Term Sampling Effects in Flow-Based GRPO
[
OpenReview]
Poster
None
Easier to Judge than to Find: Predicting In-Context Learning Success for Demonstration Selection
[
OpenReview]
Poster
None
MOOSE-Star: Unlocking Tractable Training for Scientific Discovery by Breaking the Complexity Barrier
[
OpenReview]
Poster
None
Attention Sinks as Internal Signals for Hallucination Detection in Large Language Models
[
OpenReview]
Poster
None
Elastic Attention: Test-time Adaptive Sparsity Ratios for Efficient Transformers
[
Slides]
[
Poster]
[
OpenReview]
Poster
None
Search or Accelerate: Confidence-Switched Position Beam Search for Diffusion Language Models
[
OpenReview]
Poster
None
Can I Have Your Order? Monte-Carlo Tree Search for Slot Filling Ordering in Diffusion Language Models
[
OpenReview]
Poster
None
Rethinking the Reranker: Boundary-Aware Evidence Selection for Robust Retrieval-Augmented Generation
[
Slides]
[
OpenReview]
Poster
None
Reward Redistribution for CVaR MDPs using a Bellman Operator on L-infinity
[
OpenReview]
Poster
None
Functional building blocks of neural networks: from network motifs to collective dynamics
[
OpenReview]
Poster
None
APE-Bench: Evaluating Automated Proof Engineering for Formal Math Libraries
[
OpenReview]
Poster
None
Numina-Lean-Agent: An Open and General Agentic Reasoning System for Formal Mathematics
[
OpenReview]
Poster
None
Revisiting Distribution Correction Estimation for Offline Imitation Learning with Suboptimal Dataset
[
OpenReview]
Poster
None
Romberg-Extrapolated Zeroth-Order Gradient Estimator: Higher-Order Bias Reduction with Preserved Leading Directional Variance
[
OpenReview]
Poster
None
Rethinking 1-bit Optimization Leveraging Pre-trained Large Language Models
[
OpenReview]
Poster
None
TurboGS: Accelerating 3D Gaussian Splatting via Error-Guided Sparse Pixel Sampling and Optimization
[
OpenReview]
Poster
None
Reasoning-preserved Efficient Distillation of Large Language Models via Activation-aware Initialization
[
Poster]
[
OpenReview]
Poster
None
ProMiSE: Protein Multi-state Structure Evaluation Benchmark in Biological Contexts
[
OpenReview]
Poster
None
ChaosNexus: A Foundation Model for ODE-based Chaotic System Forecasting with Hierarchical Multi-scale Awareness
[
OpenReview]
Poster
None
Target-Aware Bandit Allocation for Scalable Surrogate Optimization in Chemical Space
[
OpenReview]
Poster
None
Monitoring LLM-based Multi-Agent Systems Against Corruptions via Node Evaluation
[
OpenReview]
Poster
None
Bimodal masked language modeling for bulk RNA-seq and DNA methylation representation learning
[
OpenReview]
Poster
None
Knowing the Unknown: Interpretable Open-World Object Detection via Concept Decomposition Model
[
OpenReview]
Poster
None
Instance-Specific Approximation Ratios for Correlation Clustering and Max-Cut
[
OpenReview]
Poster
None
Stabilizing the Q-Gradient Field for Policy Smoothness in Actor-Critic Methods
[
OpenReview]
Poster
None
Addressing Instrument-Outcome Confounding in Mendelian Randomization through Representation Learning
[
OpenReview]
Poster
None
Schur-A*: Layer-wise Optimal Expert Pruning for Sparse MoEs via Schur-Complement Guided A* Search
[
OpenReview]
Poster
None
Temporal-Emerged Prompting for Segment Anything in Multiframe Infrared Small Target Detection
[
OpenReview]
Poster
None
Position: Graph Condensation Needs a Reset—Move Beyond Full-dataset Training and Model-Dependence
[
OpenReview]
Poster
None
Neural Concept Verifier: Scaling Prover-Verifier Games via Concept Encodings
[
OpenReview]
Poster
None
Preserve-Then-Quantize: Balancing Rank Budgets for Quantization Error Reconstruction in LLMs
[
OpenReview]
Poster
None
Aligning Tree-Search Policies with Fixed Token Budgets in Test-Time Scaling of LLMs
[
OpenReview]
Poster
None
Sample from What You See: Visuomotor Policy Learning via Diffusion Bridge with Observation-Embedded Stochastic Differential Equation
[
OpenReview]
Poster
None
ScoreMix: Synthetic Data Generation by Score Composition in Diffusion Models Improves Face Recognition
[
OpenReview]
Poster
None
Position: Genomic Model Research Must Move Beyond Anecdotal Evaluation of Interpretability Methods
[
OpenReview]
Poster
None
Questioning the Coverage-Length Metric in Conformal Prediction: When Shorter Intervals Are Not Better
[
OpenReview]
Poster
None
Spectral–Spatial Mixing with Morphology-Aware Adaptive Loss for Medical Image Segmentation.
[
OpenReview]
Poster
None
DeCoDe: Decoupling Binding Position and Molecular Conformation in 3D Ligand Diffusion for Structure-Based Drug Design
[
OpenReview]
Poster
None
Learning Gaussian Graphical Models from a Glauber Trajectory Without Mixing
[
OpenReview]
Poster
None
DualOptim+: Bridging Shared and Decoupled Optimizer States for Better Machine Unlearning in Large Language Models
[
OpenReview]
Poster
None
Towards Resource-Efficient LLMs: End-to-End Energy Accounting of Distillation Pipelines
[
Slides]
[
OpenReview]
Poster
None
Dual-View Predictive Diffusion: Lightweight Speech Enhancement via Spectrogram-Image Synergy
[
Poster]
[
OpenReview]
Poster
None
Reranker Helps, but Not Enough: Towards Strong Poisoning Attacks Against Retrieval-Augmented Generation
[
OpenReview]
Poster
None
VBA: Vector Bundle Attention for Intrinsically Geometric Representation Learning
[
OpenReview]
Poster
None
APEX: Approximate-but-exhaustive search for ultra-large combinatorial synthesis libraries
[
OpenReview]
Poster
None
SC$^{2}$-WM: A Self-Correcting World Model with Closed-Loop Feedback for Vision-and-Language Navigation in Continuous Environments
[
Poster]
[
OpenReview]
Poster
None
Diversity Over Frequency: Rethinking Tool Use in Visual Chain-of-Thought Agents
[
OpenReview]
Poster
None
Letting Trajectories Spread: Quality-Preserving Control for Diverse Flow Matching
[
OpenReview]
Poster
None
Uni-DocRobust: Universal Plug-and-Play Robustness Enhancement for Multi-modal LLMs via Feature Restoration
[
OpenReview]
Poster
None
Sparse Regression with $\ell_0$ Constraints for $\alpha$-Mixing Time Series: Algorithms and Guarantees
[
OpenReview]
Poster
None
On Group Relative Policy Optimization Collapse in Agent Search: The Lazy Likelihood-Displacement
[
OpenReview]
Poster
None
When RAG Hurts: Diagnosing and Mitigating Attention Distraction in Retrieval-Augmented LVLMs
[
OpenReview]
Poster
None
Initialization is Half the Battle: Generating Diverse Images from a Guidance Potential Posterior
[
OpenReview]
Poster
None
Dyn-VPP: Video Prediction Policy Optimization for Improved Visual Dynamics
[
OpenReview]
Poster
None
SAGE: A Dataflow-Native Framework for Modular, Controllable, and Transparent LLM-Augmented Reasoning
[
OpenReview]
Poster
None
From Inpainting to Editing: Unlocking Robust Mask-Free Visual Dubbing via Generative Bootstrapping
[
OpenReview]
Poster
None
Dimensionality Reduction with Point-distributions Similarity Invariant
[
Poster]
[
OpenReview]
Poster
None
The Assistant Axis: Situating and Stabilizing the Default Persona of Language Models
[
OpenReview]
Poster
None
PRISM: Training-Free Video Anomaly Detection via Intrinsic Statistical Modeling
[
OpenReview]
Poster
None
Mitigating Premature Exploitation in Particle-based Monte Carlo for Inference-Time Scaling
[
OpenReview]
Poster
None
Improving Visual Token Reduction via Rectifying Distortions for Efficient Multimodal LLM Inference
[
OpenReview]
Poster
None
NeuroMamba: A Universal Spatiotemporal Module for Robust Perception in Degraded Sensory Streams
[
OpenReview]
Poster
None
Unifying Masked Diffusion Models with Various Generation Orders and Beyond
[
OpenReview]
Poster
None
Breaking the Reference Bottleneck via Learning to Rewrite Conversational Queries without Gold Reference Passages
[
Poster]
[
OpenReview]
Poster
None
Position: LLM for Physics Research Requires Domain-Specialized Training and Tooling
[
OpenReview]
Poster
None
From Shortcuts to Reasoning: Robust Post-Training of Theory of Mind with Reinforcement Learning
[
OpenReview]
Poster
None
Accelerating Langevin Monte Carlo via Efficient Stochastic Runge-Kutta Methods beyond Log-Concavity
[
OpenReview]
Poster
None
Position: Trustworthy AI Suffers from Invariance Conflicts and Causality is The Solution
[
OpenReview]
Poster
None
Utility-Diversity Aware Online Batch Selection for LLM Supervised Fine-tuning
[
OpenReview]
Poster
None
Prioritize the Process, Not Just the Outcome: Rewarding Latent Thought Trajectories Improves Reasoning in Looped Language Models
[
OpenReview]
Poster
None
The Lie We Tell: Correcting the Euclidean Fallacy in Vision Language Action Policies via Score Matching on Tangent Space
[
OpenReview]
Poster
None
InfoLaw: Information Scaling Laws for Large Language Models with Quality-Weighted Mixture Data and Repetition
[
OpenReview]
Poster
None
VividCam: Learning Unconventional Camera Motions from Virtual Synthetic Videos
[
OpenReview]
Poster
None
CoopEval: Benchmarking Cooperation-Sustaining Mechanisms and LLM Agents in Social Dilemmas
[
OpenReview]
Poster
None
Investigating Continual Pretraining in Large Language Models: Insights and Implications
Poster
None
MiVE: Multiscale Vision-language features for reference-guided video Editing
[
OpenReview]
Poster
None
Semantic Integrity Matters: Benchmarking and Preserving High-Density Reasoning in KV Cache Compression
[
OpenReview]
Poster
None
VCG-Bench: Towards A Unified Visual-Centric Benchmark for Structured Generation and Editing
[
OpenReview]
Poster
None
Evaluating Robustness of Reasoning Models on Parameterized Logical Problems
[
OpenReview]
Poster
None
The Expert Strikes Back: Interpreting Mixture-of-Experts Language Models at Expert Level
[
OpenReview]
Poster
None
Why Deep Jacobian Spectra Separate: Depth-Induced Scaling and Singular-Vector Alignment
[
Poster]
[
OpenReview]
Poster
None
Singularity-aware Optimization via Randomized Geometric Probing: Towards Stable Non-smooth Optimization
[
OpenReview]
Poster
None
Position: Safe Models Do Not Guarantee Safe Societies: The Case for Sociopolitical Risk
[
OpenReview]
Poster
None
Learning Stochastic Bridges for Video Object Removal via Video-to-Video Translation
[
OpenReview]
Poster
None
Privacy-Aware Data Integration for Enhanced Quantile Inference under Heterogeneity
[
OpenReview]
Poster
None
PEARL: Differentially Private and Entropy-Aware Regulated Language Generation
[
OpenReview]
Poster
None
WISE: World Knowledge-Informed Semantic Evaluation for Text-to-Image Generation
[
OpenReview]
Poster
None
Causal Forcing: Autoregressive Diffusion Distillation Done Right for High-Quality Real-Time Video Generation
[
OpenReview]
Poster
None
SciNet: Evaluating AI Agents in Relation-Aware Scientific Literature Retrieval
[
OpenReview]
Poster
None
Hallucination is a Consequence of Space-Optimality: A Rate-Distortion Theorem for Membership Testing
[
OpenReview]
Poster
None
Reverse Flow Matching: A Unified Framework for Online Reinforcement Learning with Diffusion and Flow Policies
[
OpenReview]
Poster
None
Aggregate Models, Not Explanations: Improving Feature Importance Estimation
[
OpenReview]
Poster
None
Geometric and Stochastic Analysis of Discontinuities in Sparse Mixture-of-Experts
[
OpenReview]
Poster
None
OPT-Engine: Benchmarking the Limits of LLMs in Optimization Modeling via Complexity Scaling
[
Slides]
[
Poster]
[
OpenReview]
Poster
None
Efficient Training of Boltzmann Generators Using Off-Policy Log-Dispersion Regularization
[
OpenReview]
Poster
None
LO-BCQ: Locally Optimal Block Clustered Quantization for 4-bit (W4A4) LLM Inference
Poster
None
MixtureVitae: Open Web-Scale Pretraining Dataset With High Quality Instruction and Reasoning Data Built from Permissive-First Text Sources
[
URL]
[ OpenReview]
Poster
None
Ultrafast On-Chip Online Learning via Spline Locality in Kolmogorov–Arnold Networks
[
OpenReview]
Poster
None
Breaking the Exploration Bottleneck: Rubric-Scaffolded Reinforcement Learning for General LLM Reasoning
[
OpenReview]
Poster
None
Knowing Who, Not How Much: Learning-Augmented Mechanisms for Consumer Utility Maximization
[
OpenReview]
Poster
None
AdaMeZO: Adam-style Zeroth-Order Optimizer for LLM Fine-tuning Without Maintaining the Moments
[
OpenReview]
Poster
None
From Welfare to Utility: Generalized Objectives in Budget-Feasible Procurement
[
OpenReview]
Poster
None
RGGT: A Generative-Prior-Guided Transformer for Unified Rigid and Non-Rigid Point Cloud Registration
[
OpenReview]
Poster
None
SL-VC: A Benchmark and Automated Framework for Separation Logic Verification Condition Proving
[
OpenReview]
Poster
None
Online Bayesian Experimental Design for Partially Observed Dynamical Systems
[
OpenReview]
Poster
None
DisPOSE: Projected Polystochastic Diffusion for Self-Supervised Multi-View 3D Human Pose Estimation
[
OpenReview]
Poster
None
Bridging the Stability-Expressivity Gap: Synthetic Data Scaling and Preference Alignment for Low-Resource Spoken Language Models
[
OpenReview]
Poster
None
Eyes-on-Me: Scalable RAG Poisoning through Transferable Attention-Steering Attractors
[
OpenReview]
Poster
None
DisjunctiveNet: Neural Symbolic Learning via Differentiable Convexified Optimization Layers
[
OpenReview]
Poster
None
DDIM Inversion as a Perturbation Amplifier: Breaking Mimicry Protection via Reconstruction Error Minimization
[
OpenReview]
Poster
None
xLSTM Distillation: Achieving Teacher-Student Parity Through Efficient Hybrid Architectures
[
OpenReview]
Poster
None
Path-conditioned training: a principled way to rescale ReLU neural networks
[
OpenReview]
Poster
None
Functional Cache Grafting: Robust and Rapid Code-Policy Synthesis for Embodied Agents
[
OpenReview]
Poster
None
Beyond Static Allocation: Dynamic Sensitivity-Aware Fine-Tuning for Vision Transformers
[
OpenReview]
Poster
None
Theoretical Guarantees for One-Shot Magnitude Pruning and Compute-Adaptive Early Exit
[
OpenReview]
Poster
None
RA-Det: Towards Universal Detection of AI-Generated Images via Robustness Asymmetry
[
OpenReview]
Poster
None
LipoPU: Pocket-level Prediction of Lipid-Protein Interactions via Positive-Unlabeled Learning
[
OpenReview]
Poster
None
RefChess: Monte-Carlo Move Selection for Zero-Shot Referring Image Segmentation
[
Poster]
[
OpenReview]
Poster
None
OmniAID: Decoupling Semantic and Artifacts for Universal AI-Generated Image Detection in the Wild
[
OpenReview]
Poster
None
Wikipedia in the Era of LLMs: Evolution and Risks
Poster
None
LoCoT2V-Bench: Benchmarking Long-Form and Complex Text-to-Video Generation
[
OpenReview]
Poster
None
DRPBench: Evaluating LLMs in Concurrent Code Comprehension via Fine-grained Data Race Prediction
[
Poster]
[
OpenReview]
Poster
None
Retrospective Feature Estimation for Continual Learning
Poster
None
From Winning to Understanding: A Diagnostic Long-Horizon RTS Benchmark for LLMs
[
OpenReview]
Poster
None
CRPO: Character-centric Group Relative Policy Optimization for Role-aware Reasoning in Role-playing Agents
[
OpenReview]
Poster
None
COBRA: Contribution-Based Bayesian Rank Allocation for Parameter-Efficient Fine-Tuning
[
OpenReview]
Poster
None
FIBER: A Differentially Private Optimizer with Filter-Aware Innovation Bias Correction
[
OpenReview]
Poster
None
The Value Function Semi-Algebraic Set in Partially Observable Markov Decision Processes
[
OpenReview]
Poster
None
Chebyshev Policies and the Mountain Car Problem: Reinforcement Learning for Low-dimensional Control Tasks
[
OpenReview]
Poster
None
Order Matters in Retrosynthesis: Structure-aware Generation via Reaction-Center-Guided Discrete Flow Matching
[
Poster]
[
OpenReview]
Poster
None
Dimension-Free Multimodal Sampling via Preconditioned Annealed Langevin Dynamics
[
OpenReview]
Poster
None
From Backward Spreading to Forward Replay: Revisiting Target Construction in LLM Parameter Editing
[
OpenReview]
Poster
None
Telescope: Improving Zero Shot Detection of LLM Generated Content By Measuring Token Repetition Probability
[
OpenReview]
Poster
None
Dynamic Relational Priming Improves Transformer in Multivariate Time Series
[
OpenReview]
Poster
None
Anchor-Final Self-Supervision Drives Hallucination-Aware Optimization in Large Vision-Language Models
[
OpenReview]
Poster
None
LOZO+: Provably Efficient Zeroth-Order Fine-Tuning via Greedy Low-Rank Subspace Selection
[
OpenReview]
Poster
None
NeuralFLoC: Neural Flow-Based Joint Registration and Clustering of Functional Data
[
OpenReview]
Poster
None
Concept-Guided Tokenization: Closing the Gap Between Reconstruction and Generation
[
OpenReview]
Poster
None
RetrOrchestrator: A Multi-Step Retrosynthesis Agent Dynamically Orchestrating Single-Step Transition Models
[
OpenReview]
Poster
None
Unveiling And Addressing Dimensional Collapse In Vector Quantization Models Via Codebook Regularization
[
OpenReview]
Poster
None
Trajectory-Aware Spiking DiTs Conversion via Membrane Potential Error-Feedback
[
OpenReview]
Poster
None
Recurrent Structural Policy Gradient for Partially Observable Mean Field Games
[
OpenReview]
Poster
None
A Direct Approach for Handling Contextual Bandits with Latent State Dynamics
[
Slides]
[
Poster]
[
OpenReview]
Poster
None
Agent World Model: Infinity Synthetic Environments for Agentic Reinforcement Learning
[
OpenReview]
Poster
None
CREDIT: Certified Ownership Verification of Deep Neural Networks Against Model Extraction Attacks
[
OpenReview]
Poster
None
HIER: Human-in-the-Loop Imagination–Execution Refinement for General Real-World Vision-Language-Action Models
[
OpenReview]
Poster
None
Topology-Aware Contrastive Learning: Regulating Representation Connectivity via Persistent Homology
[
OpenReview]
Poster
None
Spectral-Informed Neural Networks Outperform Spectral methods in High-dimensional PDEs
[
OpenReview]
Poster
None
Pose-ICL: 3D-Aware In-Context Learning for Pose-Controllable Subject Customization
[
OpenReview]
Poster
None
Recontextualization Mitigates Specification Gaming Without Modifying the Specification
[
OpenReview]
Poster
None
Position: Machine Learning Research Should Be Guided by Explicit, Pluralistic Models of Human Purpose
[
OpenReview]
Poster
None
CoT is Not the Chain of Truth: An Empirical Internal Analysis of Reasoning LLMs for Fake News Generation
[
OpenReview]
Poster
None
Orchestrating Spatial Semantics via a Zone-Graph Paradigm for Intricate Indoor Scene Generation
[
OpenReview]
Poster
None
Diversity-Driven Offline Multi-Objective Optimization via Bi-Level Pareto Set Learning
[
OpenReview]
Poster
None
Localize-and-Stitch: Efficient Model Merging via Sparse Task Arithmetic
Poster
None
Not All Answers Are Contextually Persuadable: Inference Dynamics in Large Language Models under Contextual Influence
[
OpenReview]
Poster
None
Asymptotic Theory of Iterated Empirical Risk Minimization, with Applications to Active Learning
[
OpenReview]
Poster
None
RTPrune: Reading-Twice Inspired Token Pruning for Efficient DeepSeek-OCR Inference
[
Poster]
[
OpenReview]
Poster
None
Scout Before You Attend: Sketch-and-Walk Sparse Attention for Efficient LLM Inference
[
OpenReview]
Poster
None
Text-Conditional JEPA for Learning Semantically Rich Visual Representations
[
OpenReview]
Poster
None
One-Step Residual Shifting Diffusion for Image Super-Resolution via Distillation
[
OpenReview]
Poster
None
Learning Human-Robot Collaboration via Heterogeneous-Agent Lyapunov Policy Optimization
[
OpenReview]
Poster
None
Performative Policy Gradient: Optimality in Performative Reinforcement Learning
[
OpenReview]
Poster
None
Probabilistically-routed Bayesian Additive Spanning Trees for Learning on Constrained Domains
[
OpenReview]
Poster
None
Debate with Images: Detecting Deceptive Behaviors in Multimodal Large Language Models
[
OpenReview]
Poster
None
Minimax Optimal Strategy for Delayed Observations in Online Reinforcement Learning
[
OpenReview]
Poster
None
Position: Stop Chasing the C-index when Evaluating Survival Analysis Models
[
OpenReview]
Poster
None
Revisiting the Bertrand Paradox via Equilibrium Analysis of No-regret Learners
[
OpenReview]
Poster
None
Out-of-Distribution Evaluation of Rule-Based and Strategic Reasoning in Chess Transformers
[
OpenReview]
Poster
None
Curated Synthetic Data Doesn’t Have to Collapse: A Theoretical Study of Generative Retraining with Pluralistic Preferences
[
OpenReview]
Poster
None
The Forgetting-Retention Dilemma: Certified Unlearning Theory in Continual Learning
[
OpenReview]
Poster
None
Identifying and Mitigating Errors in Gradient Aggregation of Distributed Data Parallel Training
[
OpenReview]
Poster
None
Dywave: Event-Aligned Dynamic Tokenization for Heterogeneous IoT Sensing Signals
[
OpenReview]
Poster
None
WestWorld: A Knowledge-Encoded Scalable Trajectory World Model for Diverse Robotic Systems
[
OpenReview]
Poster
None
DTop-p MoE: Sparsity-Controlled Dynamic Top-p MoE for Foundation Model Pre-training
[
OpenReview]
Poster
None
From Static Constraints to Dynamic Adaptation: Sample-Level Constraint Release for Offline-to-Online Reinforcement Learning
[
OpenReview]
Poster
None
FreeText: Training-Free Text Rendering via Attention Localization and Spectral Glyph Injection
[
OpenReview]
Poster
None
Near-Universal Multiplicative Updates for Nonnegative Einsum Factorization
[
OpenReview]
Poster
None
Transformed Latent Variable Multi-Output Gaussian Processes
[
Slides]
[
Poster]
[
OpenReview]
Poster
None
LABO: LLM-Accelerated Bayesian Optimization through Broad Exploration and Selective Experimentation
[
OpenReview]
Poster
None
Graph Alignment for Benchmarking Graph Neural Networks and Learning Positional Encodings
[
OpenReview]
Poster
None
LFQ: Logit-aware Final-block Quantization for Boosting the Generation Quality of Low-Bit Quantized LLMs
[
OpenReview]
Poster
None
G2D2: Gradient-Guided Discrete Diffusion for Inverse Problem Solving
Poster
None
BeaconKV: Key-Value Cache Compression Guided by Beacon Queries for Efficient Large Reasoning Model Inference
[
OpenReview]
Poster
None
STAR-KV: Low-Rank KV Cache Compression via Soft Thresholding for Adaptive Rank Control
[
OpenReview]
Poster
None
SALE : Low-bit Estimation for Efficient Sparse Attention in Long-context LLM Prefilling
[
OpenReview]
Poster
None
Bottleneck Communication Delay Minimization for Communication-Efficient Decentralized Learning
[
OpenReview]
Poster
None
Unfolded Laplacian Spectral Embedding: A Theoretically Grounded Approach to Dynamic Network Representation
[
OpenReview]
Poster
None
Stabilizing MoE Reinforcement Learning by Aligning Training and Inference Routers
[
OpenReview]
Poster
None
RaBitQCache: Rotated Binary Quantization for KVCache in Long Context LLM Inference
[
Poster]
[
OpenReview]
Poster
None
Black-Box Combinatorial Optimization with Order-Invariant Reinforcement Learning
[
OpenReview]
Poster
None
FloorplanQA: A Benchmark for Spatial Reasoning in LLMs using Structured Representations
[
OpenReview]
Poster
None
Olivia: Harmonizing Time Series Foundation Models with Power Spectral Density
[
OpenReview]
Poster
None
Beyond Extrapolation: Knowledge Utilization Paradigm with Bidirectional Inspiration for Time Series Forecasting
[
OpenReview]
Poster
None
DreamID-Omni: Unified Framework for Controllable Human-Centric Audio-Video Generation
[
OpenReview]
Poster
None
Statistical Consistency and Generalization of Contrastive Representation Learning
[
OpenReview]
Poster
None
Stability-Aware Feature Design for Robust Watermark Detection in Machine-Generated Text
[
OpenReview]
Poster
None
Segment-driven Structural Induction and Semantic Alignment for Heterogeneous Tabular Representation
[
OpenReview]
Poster
None
Protein Language Model Embeddings Improve Generalization of Implicit Transfer Operators
[
OpenReview]
Poster
None
DARTS: Distribution-Aware Active Rollout Trajectory Shaping for Accelerating LLM Reinforcement Learning
[
OpenReview]
Poster
None
Let Language Constrain Geometry: Vision–Language Models as Semantic and Spatial Critics for 3D Generation
[
OpenReview]
Poster
None
Time-Conditioned Foreseeing: An EHR-Specific Foundation Model for Irregular Dynamics and Calendrical Time
[
OpenReview]
Poster
None
Dichotomy of Feature Learning and Unlearning: Fast-Slow Analysis on Neural Networks with Stochastic Gradient Descent
[
OpenReview]
Poster
None
It's TIME: Towards the Next Generation of Time Series Forecasting Benchmarks
[
OpenReview]
Poster
None
$\texttt{FlashSchNet}$: Fast and Accurate Coarse-Grained Neural Network Molecular Dynamics
[
OpenReview]
Poster
None
L-Drive: Beyond a Single Mapping—Latent Context Drives Time Series Forecasting
[
OpenReview]
Poster
None
PESD-TSF: A Period-Aware and Explicit Structured Decomposition Framework for Long-Term Time Series Forecasting
[
OpenReview]
Poster
None
DynaSchedBench: Calibrated Dynamic Scheduling Benchmarks and Observability Paradox in LLM-based Scheduling Agents
[
OpenReview]
Poster
None
Multivariate distributional reinforcement learning using sliced divergences
[
OpenReview]
Poster
None
Optimal Self-Consistency for Efficient Reasoning with Large Language Models
[
OpenReview]
Poster
None
CyberJurors: A Multi-Agent Simulation Task for E-Commerce Disputes Verdict
[
OpenReview]
Poster
None
General Covariant Action Modeling: Constructing Generalized Manifolds via Spatio-Temporal Decoupling
[
OpenReview]
Poster
None
Forget to Know, Remember to Use: Context-Aware Unlearning for Large Language Models
[
OpenReview]
Poster
None
Towards Complete Multi-Agent Coordination Policy Learning via Denoising Maximum Entropy Optimization
[
Poster]
[
OpenReview]
Poster
None
Real Data Lies: Unveiling and Closing the Quality Shortcut in Generalizable AI-Generated Video Detection
[
OpenReview]
Poster
None
IRPM: Intergroup Relative Preference Modeling for Pointwise Generative Reward Models
[
OpenReview]
Poster
None
ECG-R1: Protocol-Guided and Modality-Agnostic MLLM for Reliable ECG Interpretation
[
OpenReview]
Poster
None
A Two-Tier Perspective on Inference-Time Parallelism in Multi-Agent LLM Systems
[
OpenReview]
Poster
None
HOI-PAGE: Zero-Shot Human-Object Interaction Generation with Part Affordance Guidance
[
Poster]
[
OpenReview]
Poster
None
Revisiting Robustness for LLM Safety Alignment via Selective Geometry Control
[
OpenReview]
Poster
None
Building Reliable Long-Form Generation via Hallucination Rejection Sampling
[
OpenReview]
Poster
None
E²I-VRWKV: Explicit EPI-Representation and Interaction-Aware Vision-RWKV for Light Field Semantic Segmentation
[
OpenReview]
Poster
None
Mining Tensor/Neuron-Level Sparsity to Maximize Mixture-of-Experts Potential in Post-Training and Inference
[
OpenReview]
Poster
None
Position: Invisible Tokens, Visible Bills: The Urgent Need to Audit Hidden Operations in Opaque LLM Services
[
OpenReview]
Poster
None
AgentTailor: A Semantic-Aware LLM-Based Multi-Agent System with Actor-Critic Structure
[
OpenReview]
Poster
None
Randomized Advantage Transformation (RAT): Computing Natural Policy Gradients via Direct Backpropagation
[
OpenReview]
Poster
None
Sparse Bayesian Deep Functional Learning with Structured Region Selection
[
Poster]
[
OpenReview]
Poster
None
Revisiting Coding-Based Approaches to Overcome the Curse of Dimensionality in Learning-Based Watermarking
[
Poster]
[
OpenReview]
Poster
None
SKETCH: Semantic Key-Point Conditioning for Long-Horizon Vessel Trajectory Prediction
[
OpenReview]
Poster
None
Iterative Refinement Neural Operators are Learned Fixed-Point Solvers: A Principled Approach to Spectral Bias Mitigation
[
OpenReview]
Poster
None
From Basis to Basis: Gaussian Particle Representation for Interpretable PDE Operators
[
OpenReview]
Poster
None
EvoC2F: Compiling Tool Orchestration for Efficient and Evolvable LLM Agents
[
OpenReview]
Poster
None
CLINIC : Evaluating Multilingual Trustworthiness in Language Models for Healthcare
[
OpenReview]
Poster
None
A Graphop Analysis of Graph Neural Networks on Sparse Graphs: Generalization and Universal Approximation
[
OpenReview]
Poster
None
From Pairwise Affinities to Functional Correspondences: Rethinking Attention
[
OpenReview]
Poster
None
RAT+: Train Dense, Infer Sparse - Recurrence Augmented Attention for Dilated Inference
[
OpenReview]
Poster
None
Taming the Loss Landscape of PINNs with Noisy Feynman–Kac Supervision: Operator Preconditioning and Non-Asymptotic Error Bounds
[
OpenReview]
Poster
None
PLASH: Provably Linear-Time Attention with Selective Higher-Order Feature Sketching
[
OpenReview]
Poster
None
CARE: Class-Adaptive Expert Consensus for Reliable Learning with Long-Tailed Noisy Labels
[
OpenReview]
Poster
None
Faults in Our Formal Benchmarking: Dataset Defects and Evaluation Failures in Lean Theorem Proving
[
OpenReview]
Poster
None
GradMem: Learning to Write Context into Memory with Test-Time Gradient Descent
[
OpenReview]
Poster
None
Training-Free Guided Diffusion for Planning: A Unified Framework via Doob’s h-Transform with Safety Guarantees
[
OpenReview]
Poster
None
EPiC: Efficient Video Camera Control Learning with Precise Anchor-Video Guidance
[
OpenReview]
Poster
None
ConServe: Fine-Grained GPU Harvesting for LLM Online and Offline Co-Serving
[
OpenReview]
Poster
None
EngiAgent: Fully Connected Coordination of LLM Agents for Solving Open-ended Engineering Problems with Feasible Solutions
[
OpenReview]
Poster
None
OBCache: Optimal Brain KV Cache Pruning for Efficient Long-Context LLM Inference
[
OpenReview]
Poster
None
CAReDiO: Enhancing Cultural Alignment of LLM via Representativeness and Distinctiveness Guided Data Optimization
[
OpenReview]
Poster
None
BandPO: Bridging Trust Regions and Ratio Clipping via Probability-Aware Bounds for LLM Reinforcement Learning
[
Poster]
[
OpenReview]
Poster
None
Brep2Shape: Boundary and Shape Representation Alignment via Self-supervised Transformers
[
OpenReview]
Poster
None
Transolver-3: Scaling Up Transformer Solvers to Industrial-Scale Geometries
[
OpenReview]
Poster
None
TranX-Adapter: Bridging Artifacts and Semantics within MLLMs for Robust AI-generated Image Detection
[
OpenReview]
Poster
None
Fisher-Preserving Guidance: Training-Free Manifold Constraints for Safe Diffusion Control
[
OpenReview]
Poster
None
Random Erasing vs. Model Inversion: A Promising Defense or a False Hope?
Poster
None
Reinforcement Learning for Reachability: Guaranteeing Asymptotic Optimality
[
OpenReview]
Poster
None
Reward Under Attack: Analyzing the Robustness and Hackability of Process Reward Models
[
OpenReview]
Poster
None
Boundary Embedding Shaping with Adaptive Contrastive Learning for Graph Structural Disentanglement
[
OpenReview]
Poster
None
BiSSL: Enhancing the Alignment Between Self-Supervised Pretraining and Downstream Fine-Tuning via Bilevel Optimization
Poster
None
Little By Little: Continual Learning via Incremental Mixture of Rank-1 Associative Memory Experts
[
OpenReview]
Poster
None
Sharp empirical Bernstein inequalities for the variance of bounded random variables
[
OpenReview]
Poster
None
Geometry-Aware Neural Optimizer for Shape Optimization and Inversion
[
Poster]
[
OpenReview]
Poster
None
MedMamba: Multi-View State Space Models with Adaptive Graph Learning for Medical Time Series Classification
[
Poster]
[
OpenReview]
Poster
None
Strategic Navigation or Stochastic Search? How Agents and Humans Reason Over Document Collections
[
OpenReview]
Poster
None
Robust Linear Dueling Bandits with Post-serving Context under Unknown Delays and Adversarial Corruptions
[
OpenReview]
Poster
None
dTRPO : Trajectory Reduction in Policy Optimization of Diffusion Large Language Models
[
OpenReview]
Poster
None
On Stable Long-Form Generation: Benchmarking and Mitigating Length Volatility
[
OpenReview]
Poster
None
Equalized Generative Treatment: Matching f-divergences for Fairness in Generative Models
[
OpenReview]
Poster
None
Relative Entropy Estimation in Function Space: Theory and Applications to Trajectory Inference
[
OpenReview]
Poster
None
Towards On-Policy SFT: Distribution Discriminant Theory and its Applications in LLM Training
[
OpenReview]
Poster
None
Bayesian model selection and misspecification testing in imaging inverse problems only from noisy and partial measurements
[
OpenReview]
Poster
None
InfoGlobe: Local-and-Global Information-Preserving Statistical Manifold Learning for Single-Cell Transcriptomics
[
OpenReview]
Poster
None
BESplit: Bias-Compensated Split Federated Learning with Evidential Aggregation
[
Poster]
[
OpenReview]
Poster
None
BioFormer: Rethinking Cross-Subject Generalization via Spectral Structural Alignment in Biomedical Time-Series
[
OpenReview]
Poster
None
GoodDiffusion: Proactive Copyright Protection for Diffusion Generative Models via Learnable Sample-specific Signatures
[
OpenReview]
Poster
None
HeraSys: Collaborative Serving of Multiple LLM Workflows via Fine-Grained End-to-End Optimization
[
OpenReview]
Poster
None
From Holo Pockets to Electron Density: GPT-style Drug Design with Density
[
Poster]
[
OpenReview]
Poster
None
LumiNet: Perception-Driven Knowledge Distillation via Statistical Logit Calibration
Poster
None
N2M: Bridging Navigation and Manipulation by Learning Pose Preference from Rollout
[
OpenReview]
Poster
None
REVIS: Sparse Latent Steering to Mitigate Object Hallucination in Large Vision-Language Models
[
Poster]
[
OpenReview]
Poster
None
Exposing Hidden Biases in Text-to-Image Models via Automated Prompt Search
[
OpenReview]
Poster
None
SplAttN: Bridging 2D and 3D with Gaussian Soft Splatting and Attention for Point Cloud Completion
[
Poster]
[
OpenReview]
Poster
None
From Out-of-Distribution Detection to Hallucination Detection: A Geometric View
[
OpenReview]
Poster
None
$\texttt{MetaDistill}$: Unlocking the Performance Ceiling for Pretrained Optimizers
[
OpenReview]
Poster
None
Beyond Pixel Context Windows: Neural World Simulators with Persistent 3D State
[
OpenReview]
Poster
None
Latent Spherical Flow Policy for Reinforcement Learning with Combinatorial Actions
[
OpenReview]
Poster
None
Reward Shaping for Inference-Time Alignment: A Stackelberg Game Perspective
[
OpenReview]
Poster
None
TMD-Bench: A Multi-Level Evaluation Paradigm for Music–Dance Co-Generation
[
OpenReview]
Poster
None
S3Audio: Towards Streaming Synchronized Spatial Audio Generation via Autoregressive Diffusion Transformer
[
OpenReview]
Poster
None
Forensic Prompting with Dual-Action Policy Optimization for Vision-Language Forgery Detection and Localization
[
OpenReview]
Poster
None
cMoLLM at Scale: Horizontal Scaling Laws for Convolutionally-Gated Mixture-of-LLMs
[
OpenReview]
Poster
None
Cram Less to Fit More: Training Data Pruning Improves Memorization of Facts
[
OpenReview]
Poster
None
Geometry-Preserving Unsupervised Alignment for Heterogeneous Foundation Models
[
OpenReview]
Poster
None
A Computational Framework for Evaluating Human-likeness in LLMs' Open-ended Human Behaviors
[
OpenReview]
Poster
None
Functional Decomposition and Shapley Interactions for Interpreting Survival Models
[
OpenReview]
Poster
None
TG-RAG: A Retrieval-Augmented Framework for Reasoning Guidance in Specialized Domains
[
OpenReview]
Poster
None
InteractScience: Programmatic and Visually-Grounded Evaluation of Interactive Scientific Demonstration Code Generation
[
OpenReview]
Poster
None
Thinking in Structures: Evaluating Spatial Intelligence through Reasoning on Constrained Manifolds
[
OpenReview]
Poster
None
Enhancing Protein-Protein Interaction Prediction with Hierarchical Motif-based Multimodal Protein Embedding
[
OpenReview]
Poster
None
AReaL-DTA: Dynamic Tree Attention for Efficient Reinforcement Learning of Large Language Models
[
OpenReview]
Poster
None
Is Vibe Coding Safe? Benchmarking Vulnerability of Agent-Generated Code in Real-World Tasks
[
OpenReview]
Poster
None
HIAL: Towards Semantics-Aware Hypergraph Active Learning via Dual-Perspective Information Maximization
[
OpenReview]
Poster
None
CountsDiff: A diffusion model on the natural numbers for generation and imputation of count-based data
[
OpenReview]
Poster
None
TAGRPO: Boosting GRPO on Image-to-Video Generation with Direct Trajectory Alignment
[
OpenReview]
Poster
None
Text Before Vision: Staged Knowledge Injection Matters for Agentic RLVR in Ultra-High-Resolution Remote Sensing Understanding
[
OpenReview]
Poster
None
LC-QAT: Data-Efficient 2-Bit QAT for LLMs via Linear-Constrained Vector Quantization
[
OpenReview]
Poster
None
MotionGRPO: Overcoming Low Intra-Group Diversity in GRPO-Based Egocentric Motion Recovery
[
Poster]
[
OpenReview]
Poster
None
AlignVid: Taming Visual Dominance via Training-Free Attention Modulation in Text-guided Image-to-Video Generation
[
OpenReview]
Poster
None
InftyThink+: Effective and Efficient Infinite-Horizon Reasoning via Reinforcement Learning
[
OpenReview]
Poster
None
Causal Direct Preference Optimization for Distributionally Robust Generative Recommendation
[
OpenReview]
Poster
None
Strat-Reasoner: Reinforcing Strategic Reasoning of LLMs in Multi-Agent Games
[
OpenReview]
Poster
None
The Ideal Expression Is Not a Local Optimum: A Revisit of EQL with Zero-Point Constraints
[
OpenReview]
Poster
None
CodeChemist: Test-Time Scaling for Low-Resource Code Generation via Functional Knowledge Transfer
[
OpenReview]
Poster
None
Rule2DRC: Benchmarking LLM Agents for DRC Script Synthesis with Execution-Guided Test Generation
[
OpenReview]
Poster
None
ECHO: Entropy-Confidence Hybrid Optimization for Test-Time Reinforcement Learning
[
OpenReview]
Poster
None
MergeMix: Optimizing Mid-Training Data Mixtures via Learnable Model Merging
[
OpenReview]
Poster
None
$\mu$pscaling small models: Principled warm starts and hyperparameter transfer
[
OpenReview]
Poster
None
VERA-V: Variational Inference Framework for Jailbreaking Vision-Language Models
[
OpenReview]
Poster
None
Unifying Heterogeneous Degradations: Uncertainty-Aware Diffusion Bridge Model for All-in-One Image Restoration
[
OpenReview]
Poster
None
Reasoning on the Manifold: Bidirectional Consistency for Self-Verification in Diffusion Language Models
[
OpenReview]
Poster
None
Towards Cold-Start Drafting and Continual Refining: A Value-Driven Memory Approach with Application to NPU Kernel Synthesis
[
OpenReview]
Poster
None
Deep Multi-view Graph Clustering via Attribute-aware Bidirectional Structural Refinement and Pseudo-label Guided Multi-level Fusion
[
OpenReview]
Poster
None
Dual-channel Dynamic Graph Neural Networks with Adaptive Adjacency Learning and Multi-scale Representation Fusion
[
OpenReview]
Poster
None
On the Power of Statistics in Class-Incremental Learning with Pretrained Models
[
OpenReview]
Poster
None
Frequentist Consistency of Prior-Data Fitted Networks for Causal Estimation
[
OpenReview]
Poster
None
MIRO: MultI-Reward cOnditioned pretraining improves T2I quality and efficiency
[
OpenReview]
Poster
None
Ask Less, See More: Communication-Conditioned Token Pruning for Vehicle-to-Vehicle Cooperative Autonomous Driving with Multimodal Large Language Models
[
OpenReview]
Poster
None
PathWise: Planning through World Model for Automated Heuristic Design via Self-Evolving LLMs
[
OpenReview]
Poster
None
DiffCrossGait: Trajectory-Level Alignment for 2D-3D Cross-Modal Gait Recognition via Latent Diffusion
[
Poster]
[
OpenReview]
Poster
None
Forgetting Whenever You Want: A Decentralized Continual Learning Framework with On-Demand Unlearning
[
Poster]
[
OpenReview]
Poster
None
Variational Flow Maps: Make Some Noise for One-Step Conditional Generation
[
OpenReview]
Poster
None
How Out-of-Distribution Detection Learning Theory Enhances Transformer: Learnability and Reliability
[
OpenReview]
Poster
None
Position: Stop Anthropomorphizing Intermediate Tokens as Reasoning/Thinking Traces!
[
OpenReview]
Poster
None
A General Neural Backbone for Mixed-Integer Linear Optimization via Dual Attention
[
OpenReview]
Poster
None
Immuno-VLM: Immunizing Large Vision-Language Models via Generative Semantic Antibodies for Open-World Trustworthiness
[
OpenReview]
Poster
None
Beyond Sample-Level Forgetting: Improving Reliability in Multimodal Unlearning
[
OpenReview]
Poster
None
RADAR: Redundancy-Aware Diffusion for Multi-Agent Communication Structure Generation
[
OpenReview]
Poster
None
Regime-Adaptive Bayesian Optimization via Dirichlet Process Mixtures of Gaussian Processes
[
OpenReview]
Poster
None
QEDBench: Quantifying the Alignment Gap in Automated Evaluation of University-Level Mathematical Proofs
[
OpenReview]
Poster
None
Physics-Aware Spatiotemporal Causal Graph Network for Forecasting with Limited Data
Poster
None
Best of Both Worlds: Multimodal Reasoning and Generation via Unified Discrete Flow Matching
[
OpenReview]
Poster
None
Cross-Subject Modeling for Widefield Calcium Imaging via Atlas-Aligned Spatiotemporal Tokenization
[
OpenReview]
Poster
None
MER-DG: Modality-Entropy Regularization for Multimodal Domain Generalization
[
OpenReview]
Poster
None
AutoMS: Multi-Agent Evolutionary Search for Cross-Physics Inverse Microstructure Design
[
OpenReview]
Poster
None
Beyond Unidirectional Bias: Reciprocal Perspective Calibration in Scene Graph Generation
[
OpenReview]
Poster
None
SOLAR for Offline MARL: Plateau-Triggered Potential Shaping under World-Model Uncertainty
[
OpenReview]
Poster
None
MoRGEN: Mixture-of-Resolutions Generative Forecasting for Irregularly Sampled Medical Time-Series Data
[
OpenReview]
Poster
None
CausalProfiler: Generating Synthetic Benchmarks for Rigorous and Transparent Evaluation of Causal Machine Learning
[
OpenReview]
Poster
None
Learning Tight Rejection Boundaries without Negatives for Strict One-Class Audio Deepfake Detection
[
OpenReview]
Poster
None
Turning Drift into Constraint: Robust Reasoning Alignment in Non-Stationary Multi-Stream Environments
[
Poster]
[
OpenReview]
Poster
None
EntroKV: Entropy-Guided Dynamic Budget Allocation for KV-Cache Compression
[
OpenReview]
Poster
None
Scalable Bayesian Semi-supervised Clustering with Feature Selection and Adaptive Constraint Weighting
[
OpenReview]
Poster
None
Score-Repellent Monte Carlo: Toward Efficient Non-Markovian Sampler with Constant Memory in General State Spaces
[
OpenReview]
Poster
None
On the Provable Suboptimality of Momentum SGD in Nonstationary Stochastic Optimization
[
OpenReview]
Poster
None
Neural Attention Search Linear: Towards Adaptive Token-Level Hybrid Attention Models
[
OpenReview]
Poster
None
TokenDrop: Token-Level Importance-Aware Backward Propagation Skipping for Efficient LLM Fine-Tuning
[
OpenReview]
Poster
None
Physics-informed Neural Operator Learning for Nonlinear Grad-Shafranov Equation
[
OpenReview]
Poster
None
Reinforcement Learning with Discrete Diffusion Policies for Combinatorial Action Spaces
[
OpenReview]
Poster
None
RePack then Refine: Efficient Diffusion Transformers with Vision Foundation Models
[
OpenReview]
Poster
None
“Do Diffusion Models Dream of Electric Planes?” Discrete and Continuous Simulation-Based Inference for Aircraft Design
[
OpenReview]
Poster
None
Beyond Magnitude: Scale-Invariant Evidential Fusion for Multi-View Classification
[
OpenReview]
Poster
None
Alignment-Sensitive Minimax Rates for Spectral Algorithms with Learned Kernels
[
OpenReview]
Poster
None
ProactiveLLM: Learning Active Interaction for Streaming Large Language Models
[
OpenReview]
Poster
None
Data Selection for Fine-tuning Vision Language Models via Cross Modal Alignment Trajectories
[
OpenReview]
Poster
None
Probabilistic Pretraining for Improved Neural Regression
Poster
None
SEER: Transformer-based Robust Time Series Forecasting via Automated Patch Enhancement and Replacement
[
OpenReview]
Poster
None
DAG: A Dual Correlation Network for Time Series Forecasting with Exogenous Variables
[
OpenReview]
Poster
None
TRACE: Trajectory Recovery for Continuous Mechanism Evolution in Causal Representation Learning
[
OpenReview]
Poster
None
MIND: Decoupling Model-Induced Label Noise via Latent Manifold Disentanglement
[
OpenReview]
Poster
None
MultiLoReFT: Decoupling Shared and Modality-Specific Subspaces in Multimodal Learning via Low-Rank Representation Fine-Tuning
[
OpenReview]
Poster
None
Physics from Video: Identifiability of Time-Invariant Second-Order ODEs under Minimal Trajectory Conditions
[
OpenReview]
Poster
None
Revealing Scaling Behavior in Large-scale Time Series Models: Implications for More Efficient and Accurate Forecasting
[
OpenReview]
Poster
None
S$^2$MAM: Semi-supervised Meta Additive Model for Robust Estimation and Variable Selection
[
OpenReview]
Poster
None
From Evaluation to Design: Using Potential Energy Surface Smoothness Metrics to Guide ML Interatomic Potential Architectures
[
OpenReview]
Poster
None
Identifying Partially Observed Causal Models from Heterogeneous/Nonstationary Data
[
OpenReview]
Poster
None
On the Identifiability of Poisson Branching Structural Causal Model Under Latent Confounding
[
OpenReview]
Poster
None
Spatial-Aware Reduction Framework: Towards Efficient and Faithful Visual State Space Models
[
OpenReview]
Poster
None
Segmentation From Attention: Training-Free Layer Selection and One-Shot Tuning for Segmentation in VLMs
Poster
None
Symbiosis-Inspired Knowledge Distillation for Incremental Object Detection
[
OpenReview]
Poster
None
MolAlign3D: Enhancing Fixed-Dimensional E(3)-Equivariant Latent Space for High-Fidelity 3D Molecular Reconstruction and Editing
[
OpenReview]
Poster
None
Learning Locally, Revising Globally: Global Reviser for Federated Learning with Noisy Labels
[
OpenReview]
Poster
None
OmniSIFT: Modality-Asymmetric Token Compression for Efficient Omni-modal Large Language Models
[
OpenReview]
Poster
None
Local Covariate Selection for Average Causal Effect Estimation without Pretreatment and Causal Sufficiency Assumptions
[
OpenReview]
Poster
None
Mitigating the Safety–Utility Trade-off in LLM Alignment via Adaptive Safe Context Learning
[
OpenReview]
Poster
None
ResRL: Boosting LLM Reasoning via Negative Sample Projection Residual Reinforcement Learning
[
OpenReview]
Poster
None
Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling
[
OpenReview]
Poster
None
Plan for Speed: Dilated Scheduling for Masked Diffusion Language Models
[
Slides]
[
Poster]
[
OpenReview]
Poster
None
Learning General Causal Structures with Hidden Dynamic Process for Climate Analysis
[
OpenReview]
Poster
None
From Reasoning Traces to Reusable Modules: Reinforcement Learning for Compositional Generalization in Language Model Reasoning
[
OpenReview]
Poster
None
Alignment Tampering: How Reinforcement Learning from Human Feedback Is Exploited to Optimize Misaligned Biases
[
OpenReview]
Poster
None
DuetServe: Harmonizing Prefill and Decode for LLM Serving via Adaptive GPU Multiplexing
[
OpenReview]
Poster
None
PerceptOS: Semantic-Aware Kernel Optimization for OS-Intensive Workloads via Hardware-Software Alignment
[
OpenReview]
Poster
None
Black-Box Detection of LLM-Generated Text Using Generalized Jensen Shannon Divergence
[
OpenReview]
Poster
None
TiME: Test-Time Mixture-of-Experts Routing via Asymmetric CO-Optimal Transport for Continual Test-Time Adaptation
[
OpenReview]
Poster
None
DiffuReason: Enhancing Reasoning Ability for Diffusion Language Models via Monte Carlo Tree Search
[
OpenReview]
Poster
None
OpenTSLM: Time-Series Language Models for Reasoning over Multivariate Medical Text- and Time-Series Data
[
OpenReview]
Poster
None
Beyond Accuracy: What Matters in Designing Well-Behaved Image Classification Models?
Poster
None
Covariance Volume Maximization for Embodied Latent Exploration in Deep Reinforcement Learning
[
OpenReview]
Poster
None
TetraJet-v2: Accurate NVFP4 Training for Large Language Models with Oscillation Suppression and Outlier Control
[
OpenReview]
Poster
None
How Does the Pretraining Distribution Shape In-Context Learning? A Fundamental Trade-Off
[
OpenReview]
Poster
None
Learning Fingerprints for Medical Time Series with Redundancy-Constrained Information Maximization
[
OpenReview]
Poster
None
Position: AI Usage Policies Should Be Aligned with International Human Rights Law
[
OpenReview]
Poster
None
POET-X: Memory-efficient LLM Training by Scaling Orthogonal Transformation
[
OpenReview]
Poster
None
XYZFlow: Scaling Multidimensional Shortcut Flows for Efficient Generative Modeling
[
OpenReview]
Poster
None
Blocking the Leakage: Manifold-Aware Gradient Projection for Long-Horizon Test-Time Adaptation
[
Slides]
[
Poster]
[
OpenReview]
Poster
None
Diffusion posterior sampling for simulation-based inference in tall data settings
Poster
None
Predicting evolutionary rate as a pretraining task improves genome language model representations
[
OpenReview]
Poster
None
Online Learning and Inference for Cox Proportional Hazards Model Using Renewable Sieve Estimation
[
OpenReview]
Poster
None
Beyond Single Embedding: Modeling User Preferences as Distribution in Federated Recommendation
[
OpenReview]
Poster
None
Clipping Makes Distributed and Federated Asynchronous SGD Robust to Stragglers
[
OpenReview]
Poster
None
GeoAlign: Geometric Rollout Curation for Robust LLM Reinforcement Learning
[
OpenReview]
Poster
None
Coupled Cluster con MoLe: Molecular Orbital Learning for Neural Wavefunctions
[
OpenReview]
Poster
None
FedSSM: State Space Model-based Proactive Inference for Heterogeneous Multimodal Federated Learning
[
OpenReview]
Poster
None
The Implicit Bias of Depth: From Neural Collapse to Softmax Codes
[
Poster]
[
OpenReview]
Poster
None
Do Audio LLMs Listen or Read? Analyzing and Mitigating Paralinguistic Failures with VoxParadox
[
OpenReview]
Poster
None
EVOLVING ROLLOUTS: Harnessing Historical Experience for Web Agent Evolution in Reinforcement Learning
[
OpenReview]
Poster
None
Unlocking Cross-Modal Biosignal Synthesis: A Temporally-Aware VAE-Diffusion Model
[
OpenReview]
Poster
None
CaliDist: Calibrating Large Language Models via Behavioral Robustness to Distraction
[
OpenReview]
Poster
None
MUSA-PINN: Multi-scale Weak-form Physics-Informed Neural Networks for Fluid Flow in Complex Geometries
[
OpenReview]
Poster
None
SWE-Bench Pro: Can AI Agents Solve Long-Horizon Software Engineering Tasks?
[
OpenReview]
Poster
None
Explicit representation of germline and non-germline residues improves antibody language modeling
[
OpenReview]
Poster
None
Differentially Private and Scalable Estimation of the Network Principal Component
Poster
None
Geodesic Flow Matching for Denoising High-Dimensional Structured Representations
[
OpenReview]
Poster
None
Improving Neural Topic Modeling with Semantically-Grounded Soft Label Distributions
[
OpenReview]
Poster
None
DAG-MoE: From Simple Mixture to Structural Aggregation in Mixture-of-Experts
[
OpenReview]
Poster
None
TimeGuard: Channel-wise Pool Training for Backdoor Defense in Time Series Forecasting
[
Poster]
[
OpenReview]
Poster
None
Learning to Share: Selective Memory for Efficient Parallel Agentic Systems
[
OpenReview]
Poster
None
Not All Invariants Are Equal: Curating Training Data to Accelerate Program Verification with SLMs
[
OpenReview]
Poster
None
The Shape of Addition: Geometric Structures of Arithmetic in Large Language Models
[
OpenReview]
Poster
None
MedSIGHT: Towards Grounded Visual Comprehension in Medical Large Vision-Language Models
[
OpenReview]
Poster
None
Demystifying Multimodal Biomolecular Co-design With Intrinsic Geodesic Coupling
[
OpenReview]
Poster
None
PRISM: Distribution-free Adaptive Computation of Matrix Functions for Accelerating Neural Network Training
[
OpenReview]
Poster
None
Don't Reinvent the Wheel, Just Realign the Spokes: Resource-Efficient Federated Fine-Tuning via Rank-Wise Expert Assembly
[
Poster]
[
OpenReview]
Poster
None
DR$^2$Seg: Decomposed Two-Stage Rollouts for Efficient Reasoning Segmentation in Multimodal Large Language Models
[
OpenReview]
Poster
None
SoftBinary Coding: A New Information-Theoretic Paradigm for Neural Compression via Fast Channel Simulation
[
OpenReview]
Poster
None
AnyBand-Diff: A Unified Remote Sensing Image Generation and Band Repair Framework with Spectral Priors
[
OpenReview]
Poster
None
OmniSapiens: A Foundation Model for Social Behavior Processing via Heterogeneity-Aware Relative Policy Optimization
[
OpenReview]
Poster
None
On the Relationship Between Activation Outliers and Feature Death in Sparse Autoencoders
[
OpenReview]
Poster
None
Branch Scaling Manifests as Implicit Architectural Regularization for Improving Generalization in Overparameterized ResNets
[
OpenReview]
Poster
None
Mitigating Error Accumulation in Continuous Navigation via Memory-Augmented Kalman Filtering
[
OpenReview]
Poster
None
Position: Artificial Intelligence Needs Meta Intelligence - the Case for Metacognitive AI
[
OpenReview]
Poster
None
When and How Human Curation Backfires: Preference Alignment under Multi-Model Self-Consuming Loop
[
OpenReview]
Poster
None
Dispersion Loss Counteracts Embedding Condensation and Improves Generalization in Small Language Models
[
OpenReview]
Poster
None
PrivAct: Internalizing Contextual Privacy Preservation via Multi-Agent Preference Training
[
OpenReview]
Poster
None
TSMGen: Target-Specific Molecule Generation via Higher-Order Structural Dependencies and Context-Aware Bidirectional Fusion
[
OpenReview]
Poster
None
ReAugment: Targeted Few-Shot Time Series Augmentation via Model Zoo-Guided Reinforcement Learning
[
OpenReview]
Poster
None
RAST-MoE-RL: A Regime-Aware Spatio-Temporal MoE Framework for Deep Reinforcement Learning in Ride-Hailing
[
OpenReview]
Poster
None
Leak@$k$: Unlearning Does Not Make LLMs Forget Under Probabilistic Decoding
[
OpenReview]
Poster
None
PLaID++: A Preference Aligned Language Model for Targeted Inorganic Materials Design
[
OpenReview]
Poster
None
Scaling, Benchmarking, and Reasoning of Vision-Language Agents for Mobile GUI Navigation
[
OpenReview]
Poster
None
AgentConductor: Topology Evolution for Multi-Agent Competition-Level Code Generation
[
OpenReview]
Poster
None
DOCKSMITH: Scaling Reliable Coding Environments via an Agentic Docker Builder
[
OpenReview]
Poster
None
Expected Returns and Policy Inconsistency-Aware Offline Federated Deep Reinforcement Learning
[
OpenReview]
Poster
None
Reasoning Compartmentalization: Bridging the Concretization Gap via Abstraction-based Routing
[
OpenReview]
Poster
None
CaP-X: A Framework for Benchmarking and Improving Coding Agents for Robot Manipulation
[
OpenReview]
Poster
None
PixCLIP: Towards Fine-grained Vision-Language Understanding via Any-granularity Pixel-Text Alignment
[
OpenReview]
Poster
None
Structure-aware Granular-Ball based Information Bottleneck for Multi-modal Clustering
[
OpenReview]
Poster
None
One Step Forward and K Steps Back: Better Reasoning with Denoising Recursion Models
[
OpenReview]
Poster
None
OXE-AugE: A Large-Scale Robot Augmentation of OXE for Scaling Cross-Embodiment Policy Learning
[
OpenReview]
Poster
None
SciVideoBench: Benchmarking Scientific Video Reasoning in Large Multimodal Models
[
OpenReview]
Poster
None
ConPress: Learning Efficient Reasoning from Multi-Question Contextual Pressure
[
OpenReview]
Poster
None
DPsurv: Dual-Prototype Evidential Fusion for Uncertainty-Aware and Interpretable Whole Slide Image Survival Prediction
[
OpenReview]
Poster
None
Circle-RoPE: Cone-like Decoupled Rotary Positional Embedding for Vision-Language Models
[
OpenReview]
Poster
None
Solving Inverse Problems with Flow-based Models via Model Predictive Control
[
OpenReview]
Poster
None
From Denoising to De-Channeling: Integrating Physical Channel Priors into Diffusion Models for Radio Signal Understanding
[
OpenReview]
Poster
None
From LLM-Generated Conjectures to Lean Formalizations: Automated Polynomial Inequality Proving via Sum-of-Squares Certificates
[
OpenReview]
Poster
None
Mirror Descent Policy Optimisation for Robust Constrained Markov Decision Processes
Poster
None
Rethinking Human Intent to CAD: Parametric CAD Model Generation via Cooperative Multi-Task Alignment and Spatial-Aware Reinforcement Learning
[
OpenReview]
Poster
None
MOES-Pred: Molecular Structural Representation Learning by Adaptive Energy-Sentinel Vibration for Generalized Property Prediction
[
OpenReview]
Poster
None
Probability-Entropy Calibration: An Elastic Indicator for Adaptive Fine-tuning
[
OpenReview]
Poster
None
Correctness-Optimized Residual Activation Lens (CORAL): Transferrable and Calibration-Aware Inference-Time Steering
[
OpenReview]
Poster
None
ReQAT: Achieving Full-Precision Reasoning Accuracy with 4-bit Floating-Point Quantization-Aware Training
[
OpenReview]
Poster
None
Towards High-Fidelity CAD Generation via LLM-Driven Program Generation and Text-Based B-Rep Primitive Grounding
[
OpenReview]
Poster
None
Cold-Start Personalization via Training-Free Priors from Structured World Models
[
OpenReview]
Poster
None
Benchmarking Reward Hack Detection in Code Environments via Contrastive Analysis
[
OpenReview]
Poster
None
TimeSAE: Sparse Decoding for Faithful Explanations of Black-Box Time Series Models
[
OpenReview]
Poster
None
Dissecting Multimodal In-Context Learning: Modality Asymmetries and Circuit Dynamics in modern Transformers
[
OpenReview]
Poster
None
Foreground-Aware Token Routing Vision Transformer for Real-Time Satellite Video Tracking
[
Poster]
[
OpenReview]
Poster
None
The Latent Color Subspace: Emergent Order in High-Dimensional Chaos
[
Poster]
[
OpenReview]
Poster
None
Efficient Online Influence Maximization under the Independent Cascade Model with Node-Level Feedback
[
OpenReview]
Poster
None
Cross-Modal Knowledge Distillation without Paired Data: Theoretical Foundations and Algorithms
[
OpenReview]
Poster
None
Clustering as Reasoning: A $k$-Means Interpretation of Chain-of-Thought Graph Learning
[
OpenReview]
Poster
None
Agent Primitives: Reuseable Latent Building Blocks for Multi-Agent Systems
[
Slides]
[
Poster]
[
OpenReview]
Poster
None
Navigating the Pareto Frontier of Alignment:Spectrum-Adaptive Fine-Tuning for LLMs
[
OpenReview]
Poster
None
AlgoVeri: An Aligned Benchmark for Verified Code Generation on Classical Algorithms
[
OpenReview]
Poster
None
Revisiting Zeroth-Order Hessian Approximation: A Single-Step Policy Optimization Lens
[
OpenReview]
Poster
None
Must All Negatives Be Pushed Away Equally? Uncertainty-Aware Cross-View Geo-Localization via Normal Inverse Gamma Distribution
[
OpenReview]
Poster
None
Poison with Style: A Practical Poisoning Attack on Code Large Language Models
[
OpenReview]
Poster
None
PRPO: Paragraph-level Policy Optimization for Vision-Language Deepfake Detection
[
OpenReview]
Poster
None
BARRED: Synthetic Training of Custom Policy Guardrails via Asymmetric Debate
[
OpenReview]
Poster
None
KineFlow: Kinematic Second-Order Flow Matching for Time-Series Forecasting
[
OpenReview]
Poster
None
Beyond Rational Illusion: Behaviorally Realistic Strategic Classification
[
Poster]
[
OpenReview]
Poster
None
DroneDINO: Towards Heterogeneous Routed Mixture of Experts for Drone-based Unified Object Detection
[
OpenReview]
Poster
None
Latent Reasoning VLA: Latent Thinking and Prediction for Vision-Language-Action Models
[
OpenReview]
Poster
None
SE(3)-Equivariant Flow Matching with Gaussian Process Priors for Geometric Trajectory Prediction
[
OpenReview]
Poster
None
Variational Routing: A Scalable Bayesian Framework for Calibrated Mixture-of-Experts Transformers
[
OpenReview]
Poster
None
PCRNet: Phase-aware Complex Refinement Network for EEG-based Auditory Attention Decoding
[
Slides]
[
OpenReview]
Poster
None
REST: Diffusion-based Real-time End-to-end Streaming Talking Head Generation via ID-Context Caching and Asynchronous Streaming Distillation
[
OpenReview]
Poster
None
Towards Hierarchy–Uniformity Equilibrium: Recovering Semantic Depth in Hypergraph Contrastive Learning
[
OpenReview]
Poster
None
Plug-and-Play Spiking Operators: Breaking the Nonlinearity Bottleneck in Spiking Transformers
[
OpenReview]
Poster
None
DisPPO: Quantile-Based Distributional Reinforcement Learning for Large Language Models
[
OpenReview]
Poster
None
Global Convergence of Adaptive Sensing for Principal Eigenvector Estimation
[
OpenReview]
Poster
None
UAV$^2$: A Unified and Adaptive Scheduling Framework for UAV Autopilot System with Reinforcement Learning
[
OpenReview]
Poster
None
Beyond Majority Voting: LLM Aggregation by Leveraging Higher-Order Information
[
OpenReview]
Poster
None
CacheEdit: Efficient Multi-round Image Editing via Adaptive Token-wise Reuse.
[
OpenReview]
Poster
None
UltraHorizon: Benchmarking LLM-Agent Capabilities in Ultra Long-Horizon Scenarios
[
OpenReview]
Poster
None
From Imagined Futures to Executable Actions: Mixture of Latent Actions for Robot Manipulation
[
Poster]
[
OpenReview]
Poster
None
CORRECT: COndensed eRror RECognition via knowledge Transfer in multi-agent systems
[
OpenReview]
Poster
None
AES: Curing Optimizer Blindness in Long-Tailed Recognition via State-Aware Correction
[
OpenReview]
Poster
None
DiffThinker: Towards Generative Multimodal Reasoning with Diffusion Models
[
OpenReview]
Poster
None
KromHC: Manifold-Constrained Hyper-Connections with Kronecker-Product Residual Matrices
[
Poster]
[
OpenReview]
Poster
None
EpiCache: Episodic KV Cache Management for Long-Term Conversation on Resource-Constrained Environments
[
OpenReview]
Poster
None
GemDepth: Geometry-Embedded Features for 3D-Consistent Video Depth
[
Poster]
[
OpenReview]
Poster
None
Selecting Samples on Graphs: A Unified Dataset Pruning Framework for Lossless Training Acceleration
[
OpenReview]
Poster
None
ACO-MoE-LoRA: Evolving-while-Training for Adapting Segment Anything Model 2 to Specialized Domains
[
OpenReview]
Poster
None
ACTIVE-o3 : Empowering MLLMs with Active Perception via Pure Reinforcement Learning
[
OpenReview]
Poster
None
Causal-Adapter: Taming Text-to-Image Diffusion for Faithful Counterfactual Generation
[
OpenReview]
Poster
None
VenusBench-Mobile: A Challenging and User-Centric Benchmark for Mobile GUI Agents with Capability Diagnostics
[
OpenReview]
Poster
None
More Edits, More Stable: Understanding the Lifelong Normalization in Sequential Model Editing
[
Poster]
[
OpenReview]
Poster
None
CoFrGeNet: Continued Fraction Architectures for Language Generation
[
Slides]
[
Poster]
[
OpenReview]
Poster
None
Tuning the Implicit Regularizer of Masked Diffusion Language Models: Enhancing Generalization via Insights from $k$-Parity
[
OpenReview]
Poster
None
TreePO: Enhancing Policy Efficacy and Inference Efficiency with Tree Modeling
[
OpenReview]
Poster
None
Large-Scale Terminal Agentic Trajectory Generation from Dockerized Environments
[
OpenReview]
Poster
None
Dynamics Within Latent Chain-of-Thought: An Empirical Study of Causal Structure
[
OpenReview]
Poster
None
CMI-RewardBench: Evaluating Music Reward Models with Compositional Multimodal Instruction
[
OpenReview]
Poster
None
Evolutionary Multi-View Classification with Label Noise via Gradient and Feature Dual-Perception
[
Poster]
[
OpenReview]
Poster
None
A Linearly Convergent Proximal Subgradient Algorithm for Sparse Portfolio Optimization with Transaction Cost
[
OpenReview]
Poster
None
Position: Let's Develop Data Probes to Fundamentally Understand How Data Affects LLM Performance
[
OpenReview]
Poster
None
Position: Want Better ML Reviews? Stop Asking Nicely and Start Incentivizing with a Credit System
[
OpenReview]
Poster
None
FAFO: Lossy KV Cache Compression for Lossless Inference Acceleration via Draftless Fumble Decoding
[
OpenReview]
Poster
None
ST-Veto: Spatio-Temporal Token Veto for Diffusion MLLMs via Taylor Prediction and Visual Grounding
[
OpenReview]
Poster
None
A Dirac-Frenkel-Onsager principle: Instantaneous residual minimization with gauge momentum for nonlinear parametrizations of PDE solutions
[
OpenReview]
Poster
None
LLM-MatLogic: Executable Exchange Contracts for Knowledge-Graph Query Answering with Scoped Negation
[
OpenReview]
Poster
None
SCOUT: Active Information Foraging for Long-Text Understanding with Decoupled Epistemic States
[
OpenReview]
Poster
None
Memory-Efficient LLMs Training with Dynamic Sparsity: From Stability to Practical Scaling
[
OpenReview]
Poster
None
DropoutTS: Sample-Adaptive Dropout for Robust Time Series Forecasting
[
Poster]
[
OpenReview]
Poster
None
PragLocker: Protecting Agent Intellectual Property in Untrusted Deployments via Non-Portable Prompts
[
OpenReview]
Poster
None
When Data Is Scarce: Scaling Sparse Language Models with Repeated Training
[
OpenReview]
Poster
None
FedPDG: Prediction Discrepancy–Guided Data Generation for Heterogeneous Federated Learning
[
OpenReview]
Poster
None
High-Fidelity ANN-to-SNN Conversion via Closed-Loop CKA Distillation
[
Slides]
[
Poster]
[
OpenReview]
Poster
None
CATArena: Evaluating Evolutionary Capabilities of Code Agents via Iterative Tournaments
[
OpenReview]
Poster
None
Activation-Free Backbones for Image Recognition: Polynomial Alternatives for Spatial and Channel Mixing
[
OpenReview]
Poster
None
Diffusion Models Preferentially Memorize Prototypical Examples or: Why Does My Diffusion Model Love Slop?
[
OpenReview]
Poster
None
MechVQA: Benchmarking and Enhancing Multimodal LLMs on Comprehensive Mechanical Drawing Understanding
[
OpenReview]
Poster
None
Revisiting Efficiency–Accuracy Scaling in Mixture-of-Experts Architectures
[
OpenReview]
Poster
None
MulFCoder: Framework-conditioned Multi-agent for MLLM-based Multi-framework Front-end Code Generation
[
OpenReview]
Poster
None
Minimizing Mismatch Risk: A Prototype-Based Routing Framework for Zero-shot LLM-generated Text Detection
[
OpenReview]
Poster
None
Bend the Basics: Degradation-Aware Deformable Tokenization for All-in-One Image Restoration
[
OpenReview]
Poster
None
MoSE: Mixture of Slimmable Experts for Efficient and Adaptive Language Models
[
OpenReview]
Poster
None
A Flat Vocabulary or a Rich Hierarchy? Re-introducing Intrinsic Structure Transforms the Autoregressive Image Generation
[
OpenReview]
Poster
None
CURE: Context-driven Diffusion with Progressive Expansion for Single Domain Generalization in Time Series Classification
[
OpenReview]
Poster
None
Toward Culturally Aligned LLMs through Ontology-Guided Multi-Agent Reasoning
[
OpenReview]
Poster
None
Robust Harmful Features Under Jailbreak Attacks: Mechanistic Evidence from Attention Head Specialization in Large Language Models
[
OpenReview]
Poster
None
PRM-PBE: Process Reward Model for Reinforcement Learning in Programming-by-Example
[
OpenReview]
Poster
None
Balancing Fidelity and Diversity in Diffusion Models via Symmetric Attention Decomposition: Hopfield Perspective
[
OpenReview]
Poster
None
Improving Diffusion Planners by Self-Supervised Action Gating with Energies
[
OpenReview]
Poster
None
Learning to Perceive the World Through Control: Empowerment-Based Representation Learning
[
OpenReview]
Poster
None
Learning Discriminative and Generalizable Anomaly Detector for Dynamic Graph with Limited Supervision
[
OpenReview]
Poster
None
Dynamic Decision Learning: Test-Time Evolution for Abnormality Grounding in Rare Diseases
[
OpenReview]
Poster
None
DF-LoGiT: Data-Free Logic-Gated Backdoor Attacks in Vision Transformers
[
Poster]
[
OpenReview]
Poster
None
Unifying Heterogeneous Multi-Modal Remote Sensing Detection Via Language-Pivoted Pretraining
[
OpenReview]
Poster
None
SLIP-RS: Structured-Attribute Language-Image Pre-Training for Remote Sensing Object Detection
[
OpenReview]
Poster
None
SWE-ABS: Adversarial Benchmark Strengthening Exposes Inflated Success Rates on Test-based Benchmark
[
Slides]
[
Poster]
[
OpenReview]
Poster
None
From Distribution to Geometry: Stable Graph Generalization via Invariant Barycenters
[
OpenReview]
Poster
None
Position: Code Benchmarks Should Prioritize Rigor, Reliability, and Reproducibility
[
OpenReview]
Poster
None
Drop-in Circulant Structural Priors for Transformer Decoding of Cyclic Codes
[
OpenReview]
Poster
None
SFCLTA: Spectral Fusion Contrastive Learning with Topology-Adaptive Graph Augmentation
[
OpenReview]
Poster
None
Position: Comprehensive AI governance requires addressing non-model capability gains
[
OpenReview]
Poster
None
Generalizing Stochastic Smoothing for Differentiation and Gradient Estimation
[
OpenReview]
Poster
None
Beyond Benchmarks: Toward Causally Faithful Evaluation of Large Language Models
[
OpenReview]
Poster
None
IntentRL: Training Proactive User-intent Agents for Open-ended Deep Research via Reinforcement Learning
[
OpenReview]
Poster
None
Identifying Latent Concepts and Structures for Generalized Category Discovery
[
OpenReview]
Poster
None
Parameters as Experts: Adapting Vision Models with Dynamic Parameter Routing for Dense Predictions
[
OpenReview]
Poster
None
DiasR: Dual-Modal Identity-Anchored Sparse Routing for Efficient Multi-Subject Video Generation
[
OpenReview]
Poster
None
Disentangling a Large Language Model’s Computation from its Chain-of-Thought
[
OpenReview]
Poster
None
Mechanistic Interpretability as Statistical Estimation: A Variance Analysis
[
OpenReview]
Poster
None
CoME: Empowering Channel-of-Mobile-Experts with Informative Hybrid-Capabilities Reasoning
[
OpenReview]
Poster
None
Zero-Shot 3D Question Answering via Hierarchical View-to-Token Transportation
[
OpenReview]
Poster
None
Diffuse to Detect: Bi-Level Sample Rebalancing with Pseudo-Label Diffusion for Point-Supervised Infrared Small-Target Detection
[
OpenReview]
Poster
None
Weaving in the Clouds: Achieving Synergistic Collaboration among LLM Agents via Federated Learning
[
OpenReview]
Poster
None
How2Everything: Mining the Web for How-to Procedures to Evaluate and Improve LLMs
[
OpenReview]
Poster
None
Quadratically Regularized Optimal Transport: Localization Bounds and Affine Case Analysis
[
OpenReview]
Poster
None
Divide and Contrast: Learning Robust Temporal Features without Augmentation
[
OpenReview]
Poster
None
Factored Causal Representation Learning for Robust Reward Modeling in RLHF
[
OpenReview]
Poster
None
GASS: Geometry-Aware Spherical Sampling for Disentangled Diversity Enhancement in Text-to-Image Generation
[
OpenReview]
Poster
None
Sufficiency is Relative: Evaluating LLM Explanations under Model-Induced Input Distributions
[
OpenReview]
Poster
None
PyHealth 2.0: A Comprehensive Open-Source Toolkit for Accessible and Reproducible Clinical Deep Learning
[
OpenReview]
Poster
None
SIPO: Stabilized and Improved Preference Optimization for Aligning Diffusion Models
[
Slides]
[
Poster]
[
OpenReview]
Poster
None
WorldTravel: A Realistic Multimodal Travel-Planning Benchmark with Tightly Coupled Constraints
[
OpenReview]
Poster
None
A Strictly Proper Scoring Rule and a Calibration Metric for Interval-Censored Data Analysis
[
OpenReview]
Poster
None
Escaping the Diversity Trap in Robotic Manipulation via Anchor-Centric Adaptation
[
OpenReview]
Poster
None
GraphFLEx: Unsupervised Structure Learning $\underline{\text{F}}$ramework for $\underline{\text{L}}$arge $\underline{\text{Ex}}$panding $\underline{\text{Graph}}$s
[
OpenReview]
Poster
None
MemDecoder: Enhancing Test-Time Compute for LLM Agents via Reinforced Memory Decoding
[
OpenReview]
Poster
None
Efficient Diffusion Models under Nonconvex Equality and Inequality constraints via Landing
[
OpenReview]
Poster
None
Are First-Order Diffusion Samplers Really Slower? A Fast Forward-Value Approach
[
OpenReview]
Poster
None
Agora: Toward Autonomous Bug Detection in Production-Level Consensus Protocols with LLM Agents
[
OpenReview]
Poster
None
TimeSpot: Benchmarking Geo-Temporal Understanding in Vision–Language Models in Real-World Settings
[
OpenReview]
Poster
None
Process Reward Models That Think
Poster
None
Characterization of Gaussian Universality Breakdown in High-Dimensional Empirical Risk Minimization
[
OpenReview]
Poster
None
VLA-ATTC: Adaptive Test-Time Compute for VLA Models with Relative Action Critic Model
[
Poster]
[
OpenReview]
Poster
None
Learning Hamiltonian Flow Maps: Mean Flow Consistency for Large-Timestep Molecular Dynamics
[
OpenReview]
Poster
None
Why Agentic Theorem Prover Works: A Statistical Provability Theory of Mathematical Reasoning Models
[
OpenReview]
Poster
None
How Should Transformers Represent Numeric Values in Electronic Health Records?
[
OpenReview]
Poster
None
DREAM-R: Multimodal Speculative Reasoning with RL-Based Refined Drafting, Precise Verification, and Fully Parallel Execution
[
OpenReview]
Poster
None
The Loss Is Not Enough: Sampling Conditions and Inductive Bias in Contrastive Representation Learning
[
OpenReview]
Poster
None
Latent Representation Alignment for Offline Goal-Conditioned Reinforcement Learning
[
OpenReview]
Poster
None
From Retrieval to Translation: Translating Query into Graph-level Clues for Retrieval-Augmented Generation
[
OpenReview]
Poster
None
Column Thresholding for Sparse Spiked Wigner Models: Improved Signal Strength Requirements
[
OpenReview]
Poster
None
Position: Interpretability in Deep Time Series Models Demands Semantic Alignment
[
OpenReview]
Poster
None
Feasible Fusion: Constrained Joint Estimation under Structural Non-Overlap
[
OpenReview]
Poster
None
Learn-to-learn on Arbitrary Textual Conditioning: A Hypernetwork-Driven Meta-gated LLM
[
OpenReview]
Poster
None
Generalized Boundary FDR Control under Arbitrary Dependence: An Approach on Closure Principle
[
OpenReview]
Poster
None
CALM Before the STORM: Unlocking Native Reasoning for Optimization Modeling
[
OpenReview]
Poster
None
Stop Training for the Worst: Progressive Unmasking Accelerates Masked Diffusion Training
[
OpenReview]
Poster
None
Revisiting Photometric Ambiguity for Accurate Gaussian-Splatting Surface Reconstruction
[
OpenReview]
Poster
None
VisualPuzzles: Decoupling Multimodal Reasoning Evaluation from Domain Knowledge
[
OpenReview]
Poster
None
Dual Optimal Transport for Multi-Concept Composition: Structural Alignment and Texture Injection in Diffusion Models
[
OpenReview]
Poster
None
OSNIP: Breaking the Privacy-Utility-Efficiency Trilemma in LLM Inference via Obfuscated Semantic Null Space
[
OpenReview]
Poster
None
Can LLMs Reason Like Automated Theorem Provers for Rust Verification? VCoT-Bench: Evaluating via Verification Chain of Thought
[
OpenReview]
Poster
None
Learning the Neighborhood: Contrast-Free Multimodal Self-Supervised Molecular Graph Pretraining
[
OpenReview]
Poster
None
Polaris: Coupled Orbital Polar Embeddings for Hierarchical Concept Learning
[
OpenReview]
Poster
None
Temporal-aware Flow Matching for Video Generation with Temporally Coherent Motion
[
Poster]
[
OpenReview]
Poster
None
DIYHealth Suite: Dataset, Model, and Benchmark for Health Management at Home
[
Poster]
[
OpenReview]
Poster
None
The Double-Edged Nature of the Rashomon Set for Trustworthy Machine Learning
[
OpenReview]
Poster
None
Diffusion Flow Matching: Dimension-Improved KL Bounds and Wasserstein Guarantees
[
Poster]
[
OpenReview]
Poster
None
Interpretable Self-Supervised Learning via Representer Landmarks and Nyström Approximation
[
OpenReview]
Poster
None
Beyond Point-wise Neural Collapse: A Topology-Aware Hierarchical Classifier for Class-Incremental Learning
[
Poster]
[
OpenReview]
Poster
None
Position: Explainability Research Must Prioritize Foundations over Ad-hoc Methods
[
OpenReview]
Poster
None
Speech-Audio Compositional Attacks on Multimodal LLMs and Their Defense with SALMONN-Guard
[
OpenReview]
Poster
None
Self-Captioning Multimodal Interaction Tuning: Amplifying Exploitable Redundancies for Robust Vision Language Models
[
Poster]
[
OpenReview]
Poster
None
xKV: Cross-Layer KV-Cache Compression via Aligned Singular Vector Extraction
[
OpenReview]
Poster
None
Through the Stealth Lens: Attention-Aware Defenses Against Poisoning in RAG
[
OpenReview]
Poster
None
dLLM-Cache: Accelerating Diffusion Large Language Models with Adaptive Caching
[
OpenReview]
Poster
None
PACEAttention: Principled and Adaptive Feature Compression-Expansion Grounded in the Geometry of $\text{MCR}^2$
[
Slides]
[
Poster]
[
OpenReview]
Poster
None
Schema-Guided World Modeling for Understanding Hierarchical Visual Dynamics
[
OpenReview]
Poster
None
Physics-Informed Distillation of Diffusion Models for PDE-Constrained Generation
[
OpenReview]
Poster
None
Hyperspectral Image Fusion with Spectral-Band and Fusion-Scale Agnosticism
[
OpenReview]
Poster
None
Decompose and Recompose: Reasoning New Skills from Existing Abilities for Cross-Task Robotic Manipulation
[
OpenReview]
Poster
None
The Value of Variance: Mitigating Debate Collapse in Multi-Agent Systems via Uncertainty-Driven Policy Optimization
[
OpenReview]
Poster
None
Reward and Guidance through Rubrics: Promoting Exploration to Improve Multi-Domain Reasoning
[
OpenReview]
Poster
None
AuTAgent: A Reinforcement Learning Framework for Tool-Augmented Audio Reasoning
[
OpenReview]
Poster
None
Fourier Features Let Agents Learn High Precision Policies with Imitation Learning
[
OpenReview]
Poster
None
Beyond Logits: Metastable Latent Dynamics for Sample-Efficient Best-of-N Selection in LLMs
[
OpenReview]
Poster
None
When Actions Go Off-Task: Detecting and Correcting Misaligned Actions in Computer-Use Agents
[
OpenReview]
Poster
None
Should I Have Expressed a Different Intent? Counterfactual Generation for LLM-Based Autonomous Control
[
OpenReview]
Poster
None
Adversarially Robust Control of Conditional Value-at-Risk via Kelly Conformal Inference
[
OpenReview]
Poster
None
DANCE: Dynamic, Available, Neighbor-gated Condensation for Federated Text-Attributed Graphs
[
OpenReview]
Poster
None
Revisiting the Role of Pretrained Weights in Model Merging: On Near-Optimality within the Core Subspace
[
OpenReview]
Poster
None
Why DDIM Hallucinates More than DDPM: A Theoretical Analysis of Reverse Dynamics
[
OpenReview]
Poster
None
How does information access affect LLM monitors' ability to detect sabotage?
[
OpenReview]
Poster
None
CLARITree: Cholesky and Lookahead Accelerations for Regression with Interpretable Piecewise Linear Trees
[
OpenReview]
Poster
None
Human-in-the-Loop Policy Optimization for Preference-Based Multi-Objective Reinforcement Learning
[
OpenReview]
Poster
None
PruneFuse: Efficient Data Selection via Weight Pruning and Network Fusion
Poster
None
Self-CriTeach: LLM Self-Teaching and Self-Critiquing for Improving Robotic Planning via Automated Domain Generation
[
OpenReview]
Poster
None
Generative Modeling of Irregular Time Series via SDE-Induced Continuous-Discrete Variational Inference
[
OpenReview]
Poster
None
LLM4Branch: Large Language Model for Discovering Efficient Branching Policies of Integer Programs
[
OpenReview]
Poster
None
Are Object-Centric Representations Better At Compositional Generalization?
[
OpenReview]
Poster
None
GeoSense: Internalizing Geometric Necessity Perception for Multimodal Reasoning
[
OpenReview]
Poster
None
Modeling Long-Tail Relations in the Operating Room via In-Context Multimodal Learning
[
OpenReview]
Poster
None
How Do Language Models Speak Languages? A Case Study on Unintended Code-Switching
[
OpenReview]
Poster
None
Trustworthy Federated Label Distribution Learning under Annotation Quality Disparity
[
OpenReview]
Poster
None
Position: Neural Approximation Is Rarely Justified for Hard Combinatorial Problems
[
OpenReview]
Poster
None
Non-Parametric Optimization for Scalable Learning in Stochastic Decision Problems
[
OpenReview]
Poster
None
Required Spine Optional Limbs: Heterogeneous Federated Learning via Backbone-sharing and Activation-guided Selection
[
OpenReview]
Poster
None
AgentNoiseBench: Benchmarking Robustness of Tool-Using LLM Agents Under Noisy Condition
[
OpenReview]
Poster
None
WMVLM: Evaluating Diffusion Model Image Watermarking via Vision-Language Models
[
OpenReview]
Poster
None
Least-Loaded Expert Parallelism: Load Balancing An Imbalanced Mixture-of-Experts
[
OpenReview]
Poster
None
GIST: Targeted Data Selection for Instruction Tuning via Coupled Optimization Geometry
[
OpenReview]
Poster
None
The Label Horizon Paradox: Rethinking Supervision Targets in Financial Forecasting
[
OpenReview]
Poster
None
MAS-Orchestra: Understanding and Improving Multi-Agent Reasoning Through Holistic Orchestration and Controlled Benchmarks
[
OpenReview]
Poster
None
Learning to Watch: Active Video Anomaly Understanding via Interleaved Policy Optimization
[
OpenReview]
Poster
None
Uncovering Latent Communication Patterns in Brain Networks via Adaptive Flow Routing
[
OpenReview]
Poster
None
The Generalization Spectrum: A Chromatographic Approach to Evaluating Learning Algorithms
[
OpenReview]
Poster
None
SafeLab: An Interactive High-Fidelity Benchmark for Embodied Safety in Scientific Robotics
[
OpenReview]
Poster
None
Stability beyond bounded differences: sharp generalization bounds under finite $L_p$ moments
[
OpenReview]
Poster
None
FedCDWA: Decoupled Federated Prototype Distillation with Hierarchical Wasserstein Aggregation
[
OpenReview]
Poster
None
Supervised Classification Heads as Semantic Prototypes: Unlocking Vision-Language Alignment via Weight Recycling
[
Poster]
[
OpenReview]
Poster
None
Embodied-DETR: End-to-End Temporal 3D Object Detection in Egocentric Views
[
OpenReview]
Poster
None
Active Continual Learning with Metaplastic Binary Bayesian Neural Networks
[
Slides]
[
OpenReview]
Poster
None
Bridging Dynamics and Data: A Unified Diffusion Framework for Mechanistically-Informed Epidemic Forecasting
[
OpenReview]
Poster
None
Agent-Omit: Training Efficient LLM Agents for Adaptive Thought and Observation Omission via Agentic Reinforcement Learning
[
OpenReview]
Poster
None
BiTrajDiff: Bidirectional Trajectory Generation with Diffusion Models for Offline Reinforcement Learning
[
OpenReview]
Poster
None
SkelHCC: A Hyperbolic CLIP-Driven Cache Adaptation Framework for Skeleton-based One-Shot Action Recognition
[
OpenReview]
Poster
None
FACT: Fuzzy Alignment with Comorbidity Topology for Reliable Multi-Label Medical Image Diagnosis
[
OpenReview]
Poster
None
DriveWorld-VLA: Unified Latent-Space World Modeling with Vision–Language–Action for Autonomous Driving
[
OpenReview]
Poster
None
DyGRO-VLA: Cross-Task Scaling of Vision–Language–Action Models via Dynamic Grouped Residual Optimization
[
OpenReview]
Poster
None
LECTOR: Joint Learning of Scientific Reasoning Graphs and Introduction Generation
[
OpenReview]
Poster
None
Deep Reinforcement Learning Finds Bayes-Nash Equilibrium in Competitive Newsvendor Problems
[
OpenReview]
Poster
None
Learning When to Act or Refuse: Guarding Agentic Reasoning Models for Safe Multi-Step Tool Use
[
OpenReview]
Poster
None
Diagnosing and Correcting Concept Omission in Multimodal Diffusion Transformers
[
OpenReview]
Poster
None
Harnessing Uncertainty: Entropy-Modulated Policy Gradients for Long-Horizon LLM Agents
[
OpenReview]
Poster
None
D-FUSEr: Diverse Failure, Unified Success via Error-Distribution Shaping in LLM Reasoning
[
OpenReview]
Poster
None
PsumQuant: In-line Post-training Partial Sum Quantizer for Energy Efficient NPU Inference
[
OpenReview]
Poster
None
RaBiT: Residual Aware Binarization Training for Accurate and Efficient LLMs
[
OpenReview]
Poster
None
DDGA: Dirichlet Distributional Gradient Aggregation for Transferable Vision-Language Adversarial Attacks
[
OpenReview]
Poster
None
TAMPO: Task- and Model-Aware Automatic Prompt Optimization for Robust and Controllable Auto-Routing in LLM-based Systems
[
OpenReview]
Poster
None
Geometric Coherence Learning for Structuring Value Functions in Plain MDPs
[
OpenReview]
Poster
None
Offline Multi-Agent Reinforcement Learning via Sequential Score Decomposition
[
OpenReview]
Poster
None
InfraRL: A Benchmark for Constrained Resource Allocation in Large-Scale Infrastructure Asset Management
[
OpenReview]
Poster
None
The Invisible Lottery: How Subtle Cues Steer Algorithm Choice in LLM Code Generation
[
OpenReview]
Poster
None
MVR-cache: Optimizing Semantic Caching via Multi-Vector Retrieval and Learned Prompt Segmentation
[
OpenReview]
Poster
None
FedGain: Toward Negative-Gain-Free Client Collaboration in Federated Learning
[
OpenReview]
Poster
None
Towards Completeness in Causal Discovery from Soft Interventions with Known Targets
[
OpenReview]
Poster
None
Talk, Judge, Cooperate: Gossip-Driven Indirect Reciprocity in Self-Interested LLM Agents
[
OpenReview]
Poster
None
HodgeFlow Policy Search by Topologically Dissecting Temporal-Difference Signals in Non-Markovian Environments
[
OpenReview]
Poster
None
Learnability-Driven Knowledge Assimilation for Class-Incremental Semantic Segmentation
[
Slides]
[
Poster]
[
OpenReview]
Poster
None
Root Cause Analysis of Failures in Microservices via Bayesian Root Cause Discovery
[
OpenReview]
Poster
None
TopBench: A Benchmark for Implicit Prediction and Reasoning over Tabular Question Answering
[
OpenReview]
Poster
None
Dissecting Post-Training: Uncovering the Complementary Roles of SFT and RL for Document Parsing
[
OpenReview]
Poster
None
OvisOCR: End-to-End Document Parsing via Aligning Specialized Perception with General Reasoning
[
OpenReview]
Poster
None
$\tau$-Knowledge: Evaluating Conversational Agents over Unstructured Knowledge
[
OpenReview]
Poster
None
Epistemic Gain, Aleatoric Cost: Uncertainty Decomposition in Multi-Agent Debate for Math Reasoning
[
OpenReview]
Poster
None
LithoDreamer: A Physics-Informed World Model for Multi-Stage Computational Lithography
[
OpenReview]
Poster
None
NonZero: Interaction-Guided Exploration for Multi-Agent Monte Carlo Tree Search
[
OpenReview]
Poster
None
GraphP-FL: Personalized Federated Graph Learning via Dynamic Structure Awareness and Fisher Information Elastic Alignment
[
OpenReview]
Poster
None
Suppress and Diversify: Refining Robust Pathways for Corruption Robustness
[
OpenReview]
Poster
None
ElicitR: Unlocking Latent Reasoning in Dense Retrievers via Generative Regularization
[
OpenReview]
Poster
None
LieStoNet: Learning Lie Symmetries from Spatiotemporal Data for Stochastic Dynamical Systems
[
OpenReview]
Poster
None
Position: Agent Should Invoke External Tools ONLY When Epistemically Necessary
[
OpenReview]
Poster
None
Learning to Explore: Scaling Agentic Reasoning via Exploration-Aware Policy Optimization
[
OpenReview]
Poster
None
SWE-fficiency: Can Language Models Optimize Real-World Repositories on Real Workloads?
[
OpenReview]
Poster
None
ParEVO: Synthesizing Code for Irregular Data: High-Performance Parallelism through Agentic Evolution
[
OpenReview]
Poster
None
Evaluating LLM Uncertainty in Long-Form Generation Using Deterministic Ground Truth
[
OpenReview]
Poster
None
BlueCodeAgent: A Blue Teaming Agent Powered by Automated Red Teaming for CodeGen AI
[
OpenReview]
Poster
None
Benchmarking the Limits of In-Context Reinforcement Learning for Ad-Hoc Teamwork
[
OpenReview]
Poster
None
LS$^{2}$MC-GDA: A Smoothed Algorithm for Federated Stochastic Compositional Minimax Optimization
[
OpenReview]
Poster
None
Bringing Code ALIVE: Optimizing Interactive Frontend Mini-Games via Automated Play and Reinforcement Learning at Scale
[
OpenReview]
Poster
None
SEM-CTRL: Semantically Controlled Decoding
Poster
None
Von Mises-Fisher Mixture Model with Dynamic Shrinkage for Realistic Test-Time Transduction
[
OpenReview]
Poster
None
ORBIT: A Prognostic World Model for Ocular Reasoning Based on Imagined Trajectories
[
OpenReview]
Poster
None
Convergence Analysis of Decentralized Hessian-/Jacobian-Free Algorithm for Nonconvex Stochastic Bilevel Optimization
[
OpenReview]
Poster
None
On the Limits of Test-Time Compute: Sequential Reward Filtering for Better Inference
[
OpenReview]
Poster
None
Instance-Dependent Continuous-Time Reinforcement Learning via Maximum Likelihood Estimation
[
OpenReview]
Poster
None
Dynamic Regret via Discounted-to-Dynamic Reduction with Applications to Curved Losses and Adam Optimizer
[
OpenReview]
Poster
None
Is Your Diffusion Sampler Actually Correct? A Sampler-Centric Evaluation of Discrete Diffusion Language Models
[
OpenReview]
Poster
None
Hierarchical ODE: Learning Continuous-Time Physical Prototypes for Early Link Failure Detection
[
OpenReview]
Poster
None
FRACTAL: State Space Model with Fractional Recurrent Architecture for Computational Temporal Analysis of Long Sequences
[
OpenReview]
Poster
None
Decomposed On-Policy Distillation for Vision-Language Reasoning: Steering Gradients for Visual Grounding
[
OpenReview]
Poster
None
DecAEvolve: Decompose, Adapt, and Evolve, or, Three Pillars of Effective LLM-based Scientific Equation Discovery
[
OpenReview]
Poster
None
A Behavioural and Representational Evaluation of Goal-Directedness in Language Model Agents
[
OpenReview]
Poster
None
CORE: Conflict-Oriented Reasoning for General Multimodal Manipulation Detection
[
OpenReview]
Poster
None
Privacy Amplification in Differentially Private Zeroth-Order Optimization with Hidden States
[
OpenReview]
Poster
None
Position: The Machine Learning Community Must Treat Compute Inequality as a First-Class Research Problem
[
OpenReview]
Poster
None
Salus: Strategic Diagnostic Testing for Complex Diagnosis via Multi-Agent Reinforcement Learning
[
OpenReview]
Poster
None
HPS: Hyperspherical Parameter Sharing for Efficient Multi-Agent Reinforcement Learning
[
OpenReview]
Poster
None
Practical and Optimal Algorithm for Linear Contextual Bandits with Rare Parameter Updates
[
OpenReview]
Poster
None
LUVE : Latent-Cascaded Ultra-High-Resolution Video Generation with Dual Frequency Experts
[
OpenReview]
Poster
None
PhaseCoder: Microphone Geometry-Agnostic Spatial Audio Understanding for Multimodal LLMs
[
OpenReview]
Poster
None
Position: Certified Correctness in Neural Constraint Reasoning Requires Symbolic Integration
[
OpenReview]
Poster
None
Cluster-Aware Causal Mixer for Online Anomaly Detection in Multivariate Time Series
[
OpenReview]
Poster
None
Models Under SCOPE: Scalable and Controllable Routing via Pre-hoc Reasoning
[
OpenReview]
Poster
None
The Oversight Game: Learning to Cooperatively Balance an AI Agent's Safety and Autonomy
[
OpenReview]
Poster
None
Tackling Length Inflation Without Trade-offs: Group Relative Reward Rescaling for Reinforcement Learning
[
OpenReview]
Poster
None
TeamWork: Multivariate Time Series Anomaly Detection via Asymmetric Role-aware Channel Modeling
[
OpenReview]
Poster
None
DualTimesField: Rethinking Time Series as Continuous-Time Trends and Events
[
OpenReview]
Poster
None
Zooming without Zooming: Region-to-Image Distillation for Fine-Grained Multimodal Perception
[
Slides]
[
Poster]
[
OpenReview]
Poster
None
Video-OPD: Efficient Post-Training of Multimodal Large Language Models for Temporal Video Grounding via On-Policy Distillation
[
OpenReview]
Poster
None
Decoupling Reasoning and Confidence: Resurrecting Calibration in Reinforcement Learning from Verifiable Rewards
[
OpenReview]
Poster
None
Why Linear Recurrent Memory Works in Partially Observable Reinforcement Learning
[
OpenReview]
Poster
None
A Short and Unified Convergence Analysis of the SAG, SAGA, and IAG Algorithms
[
OpenReview]
Poster
None
Colorful Pinball: Density-Weighted Quantile Regression for Conditional Guarantee of Conformal Prediction
[
OpenReview]
Poster
None
Mean Flow Distillation: Robust and Stable Distillation for Flow Matching Models
[
OpenReview]
Poster
None
Improving the Robustness-Utility Trade-off in Decentralized Learning over Sparse Networks
[
OpenReview]
Poster
None
Off-Policy Evaluation for Missingness-Aware Policies in MDPs with Rewards Missing Not at Random
[
OpenReview]
Poster
None
Structure-Preserving Learning Improves Geometry Generalization in Neural PDEs
[
OpenReview]
Poster
None
Can Computational Reducibility Lead to Transferable Models for Graph Combinatorial Optimization?
[
OpenReview]
Poster
None
Capacity without Access: Reinterpreting the Mid-Depth Spectral Plateau in LLMs
[
OpenReview]
Poster
None
Names Don’t Matter: Symbol-Invariant Transformer for Open-Vocabulary Learning
[
OpenReview]
Poster
None
TimeRewarder: Learning Dense Reward from Passive Videos via Frame-wise Temporal Distance
[
OpenReview]
Poster
None
Item Response Scaling Laws: A Measurement Theory Approach for Efficient and Generalizable Neural Scaling Estimation
[
OpenReview]
Poster
None
Trust3R: Unifying Feed-Forward Pointmap Prediction and Evidential Learning for Trust-Aware 3D Reconstruction
[
OpenReview]
Poster
None
Truthfulness Does Not Scale Like Reasoning: Why Polling Fails as a Proxy Verifier
[
OpenReview]
Poster
None
MedCoG: Maximizing LLM Inference Density in Medical Reasoning via Meta-Cognitive Regulation
[
OpenReview]
Poster
None
Efficient Hallucination Detection for LLMs Using Uncertainty-Aware Attention Heads
[
OpenReview]
Poster
None
Breaking the Synthetic-Real Domain Shortcut for Training-Free Generative Replay-based Class Incremental Learning
[
Slides]
[
Poster]
[
OpenReview]
Poster
None
Learning Adaptive Topology with FiLM-Guided Distillation for Tertiary Structure-Based RNA Design
[
OpenReview]
Poster
None
Improving Explicit Dynamic Gaussian Splatting Optimization via Update Mixture
[
OpenReview]
Poster
None
Class-Grouped-Normalized-Momentum and Faster Hyperparameter Exploration to Tackle Class Imbalance in Federated Learning
[
OpenReview]
Poster
None
Position: Beyond Sensitive Attributes, ML Fairness Should Quantify Structural Injustice via Social Determinants
[
OpenReview]
Poster
None
Understanding the Performance Gap in Preference Learning: A Dichotomy of RLHF and DPO
[
OpenReview]
Poster
None
LabBuilder: Protocol-Grounded 3D Layout Generation for Interactable and Safe Laboratory
[
OpenReview]
Poster
None
Helpful to a Fault: Measuring Illicit Assistance in Multi-Turn, Multilingual LLM Agents
[
OpenReview]
Poster
None
HTAC: Hierarchical Task-Aware Composition for Continual Offline Reinforcement Learning
[
OpenReview]
Poster
None
Who Evaluates AI's Social Impacts? Mapping Coverage and Gaps in First and Third Party Evaluations
[
OpenReview]
Poster
None
GRPO-based Cluster Decision Agent for Unknown-$\boldsymbol{K}$ Multi-view Clustering
[
OpenReview]
Poster
None
DLO-Lab: Benchmarking Deformable Linear Object Manipulations with Differentiable Physics
[
OpenReview]
Poster
None
Mind Dreamer: Untethering Imagination via Active Counterfactual Reasoning on Latent Manifolds
[
OpenReview]
Poster
None
Efficient and Minimax-optimal In-context Nonparametric Regression with Transformers
[
OpenReview]
Poster
None
Physics-Informed Self-Supervised Learning on Efficient Electron-Density Images for Organic Material Property Prediction
[
OpenReview]
Poster
None
STD-Former: Image-Conditioned Texture Dictionary Encoding with Sparse Topological Supervision for Texture Recognition
[
OpenReview]
Poster
None
Needles in the Haystack: Addressing Signal Dilution Improves scRNA-seq Perturbation Response Modeling and Evaluation
[
OpenReview]
Poster
None
$f$-Divergence Regularized RLHF: Two Tales of Sampling and Unified Analyses
[
OpenReview]
Poster
None
SAEmnesia: Erasing Concepts in Diffusion Models with Supervised Sparse Autoencoders
[
OpenReview]
Poster
None
Temporal Self-Rewarding Language Models: Decoupling Chosen-Rejected via Past-Future
[
OpenReview]
Poster
None
Conformal Path Reasoning: Trustworthy Knowledge Graph Question Answering via Path-Level Calibration
[
OpenReview]
Poster
None
SHARP-Q: Spectral Hessian Alignment and Rectification for Post-training Quantization
[
OpenReview]
Poster
None
BYORn: Bootstrap Your Own Responses to Defend Large Vision-Language Models Against Backdoor Attacks
[
OpenReview]
Poster
None
Characterizing the Predictive Impact of Modalities with Supervised Latent-Variable Modeling
[
OpenReview]
Poster
None
Bits That Count: Quantifying and Predicting Capabilities of Language Models
[
OpenReview]
Poster
None
Decouple Searching from Training: Scaling Data Mixing via Model Merging for Large Language Model Pre-training
[
OpenReview]
Poster
None
Data Reconstruction: Identifiability and Optimization with Sample Splitting
[
OpenReview]
Poster
None
TwinWeaver: An LLM-Based Foundation Model Framework for Pan-Cancer Digital Twins
[
OpenReview]
Poster
None
TIME: Tensor-Factorized Mixture-of-Experts with Intrinsic Routing for Lifelong Multimodal Knowledge Editing
[
OpenReview]
Poster
None
One-Step Gradient Delay is Not a Barrier for Large-Scale Asynchronous Pipeline Parallel LLM Pretraining
[
OpenReview]
Poster
None
Adaptive Batch Sizes Using Non-Euclidean Gradient Noise Scales for Stochastic Sign and Spectral Descent
[
OpenReview]
Poster
None
Learning, Solving and Optimizing PDEs with TensorGalerkin: an efficient high-performance Galerkin assembly algorithm
[
OpenReview]
Poster
None
AnyCanvas: Potential Field Guidance for Training-Free Spatial Control in Text-to-Image Diffusion
[
OpenReview]
Poster
None
Position: Collusion Risks Among AI Reasoning Agents Justify Certification Requirements for Making Market Decisions
[
OpenReview]
Poster
None
M-IDoL: Information Decomposition for Modality-Specific and Diverse Representation Learning in Medical Foundation Model
[
OpenReview]
Poster
None
Position: The Alignment Community is Unintentionally Building a Censor’s Toolkit
[
OpenReview]
Poster
None
HelioX: A GPU-Native Framework for Simulation and Training of Biophysically Detailed Networks
[
OpenReview]
Poster
None
Textual Supervision Enhances Geospatial Representations in Vision-Language Models
[
OpenReview]
Poster
None
Finding Differentially Private Second Order Stationary Points in Stochastic Minimax Optimization
[
OpenReview]
Poster
None
3ViewSense: Spatial and Mental Perspective Reasoning from Orthographic Views in Vision-Language Models
[
OpenReview]
Poster
None
Flex-Forcing: Towards a Unified Autoregressive and Bidirectional Video Diffusion Model
[
OpenReview]
Poster
None
Beyond Next-Token Alignment: Distilling Multimodal Large Language Models via Token Interactions
[
OpenReview]
Poster
None
SyMerge: From Non-Interference to Synergistic Merging via Single-Layer Adaptation
[
OpenReview]
Poster
None
Stable-GFlowNet: Toward Diverse and Robust LLM Red-Teaming via Contrastive Trajectory Balance
[
OpenReview]
Poster
None
Position: Text Embeddings Should Capture Implicit Semantics, Not Just Surface Meaning
[
OpenReview]
Poster
None
Demystifying Scientific Problem-Solving in LLMs by Probing Knowledge and Reasoning
[
OpenReview]
Poster
None
Fair Decisions from Calibrated Scores: Achieving Optimal Classification While Satisfying Sufficiency
[
OpenReview]
Poster
None
$\tau^2$-Bench: Evaluating Conversational Agents in a Dual-Control Environment
[
OpenReview]
Poster
None
Are LLM Evaluators Really Narcissists? Sanity Checking Self-Preference Evaluations
[
OpenReview]
Poster
None
Beyond the Trade-off: Unifying Fairness and Performance in Federated Learning
[
OpenReview]
Poster
None
Don't Force the Fit: Bounded Log-Likelihood Loss for Enhanced Reasoning in Large Language Models
[
OpenReview]
Poster
None
MixQuant: Pushing the Limits of Block Rotations in Post-Training Quantization
[
OpenReview]
Poster
None
DC-W2S: Dual-Consensus Weak-to-Strong Training for Reliable Process Reward Modeling in Biological Reasoning
[
OpenReview]
Poster
None
CorrectionPlanner: Self-Correction Planner with Reinforcement Learning in Autonomous Driving
[
OpenReview]
Poster
None
From Prompts to Responses: Dual-Sided Data Leakage and Defense in Split Large Language Models
[
OpenReview]
Poster
None
LangForce: Bayesian Decomposition of Vision Language Action Models via Latent Action Queries
[
OpenReview]
Poster
None
Continual Learning With Participation Privacy: An Auditable Buffering-Aggregation Recipe
[
OpenReview]
Poster
None
Learning Credal Ensembles via Distributionally Robust Optimization
[
Poster]
[
OpenReview]
Poster
None
X-MoGe: A Cross-Modal Adaptation Framework with Mixture-of-Experts and Geometry Guidance for Heterogeneous Collaborative Perception
[
OpenReview]
Poster
None
MathlibLemma: Folklore Lemma Generation and Benchmark for Formal Mathematics
[
Slides]
[
Poster]
[
OpenReview]
Poster
None
Task-Aware Mechanism: Hybrid MoE Vision Tower Towards Holistic Video Understanding
[
Poster]
[
OpenReview]
Poster
None
SparseOpt: Addressing Normalization-induced Gradient Skew in Sparse Training
[
OpenReview]
Poster
None
PluRel: Synthetic Data unlocks Scaling Laws for Relational Foundation Models
[
OpenReview]
Poster
None
EnerGS: Energy-Based Gaussian Splatting under Partial Geometric Observability
[
OpenReview]
Poster
None
TIC-VLA: A Think-in-Control Vision-Language-Action Model for Robot Navigation in Dynamic Environments
[
OpenReview]
Poster
None
Semi-knockoffs: a model-agnostic conditional independence testing method with finite-sample guarantees
[
OpenReview]
Poster
None
Metis: Learning to Jailbreak LLMs via Self-Evolving Metacognitive Policy Optimization
[
OpenReview]
Poster
None
Localized, High-resolution Geographic Representations with Slepian Functions
[
OpenReview]
Poster
None
Swift-SVD: Theoretical Optimality Meets Practical Efficiency in Low-Rank LLM Compression
[
OpenReview]
Poster
None
Loss-aware distributionally robust optimization via trainable optimal transport ambiguity sets
[
OpenReview]
Poster
None
Deep Scientific Reasoning under Physical Constraints: Structure-Aware Spectrum Prediction for Electronic Density of States
[
OpenReview]
Poster
None
RLIE: Rule Generation with Logistic Regression, Iterative Refinement, and Evaluation for Large Language Models
[
OpenReview]
Poster
None
Efficient and Safe Molecular Assembly via Reinforcement Learning and Constraint Solving
[
OpenReview]
Poster
None
Split Personality Training: Revealing Latent Knowledge Through Alternate Personalities
[
Poster]
[
OpenReview]
Poster
None
SPEAR: A Unified SSL Framework for Learning Speech and Audio Representations
[
OpenReview]
Poster
None
Matrix-Free GPU Semidefinite Programming for Quantum Ordered Search at the k=6 Frontier
[
OpenReview]
Poster
None
Decoupling The "What" and "Where" With Polar Coordinate Positional Embedding
[
OpenReview]
Poster
None
Thoughtbubbles: an Unsupervised Method for Parallel Thinking in Latent Space
[
OpenReview]
Poster
None
Selective Concept Bottleneck Models Without Predefined Concepts
Poster
None
One-Shot Weighted Ensemble Estimation for Federated Quantile Regression: Optimal Statistical Guarantees under Heterogeneous Structured Data
[
OpenReview]
Poster
None
Domain Adaptation with Adaptive $f$-Divergence: Tighter Variational Representation and Generalization Bounds
[
OpenReview]
Poster
None
Low-Rank and Sparsity Are All You Need: Exploring Robust Hierarchical Latent Subspaces for Transferable Adversarial Attack
[
OpenReview]
Poster
None
Scalable Simulation-Based Model Inference with Test-Time Complexity Control
[
OpenReview]
Poster
None
The Geometry of Projection Heads: Conditioning, Invariance, and Collapse
[
Poster]
[
OpenReview]
Poster
None
LUGS: Latent-aware Guidance for Efficient Unmasking in Diffusion Large Language Models
[
OpenReview]
Poster
None
ExpertWeaver: Unlocking the Inherent MoE in Dense LLMs with GLU Activation Patterns
[
OpenReview]
Poster
None
CorrSteer: Generation-Time LLM Steering via Correlated Sparse Autoencoder Features
[
OpenReview]
Poster
None
SINQ: Sinkhorn-Normalized Quantization for Calibration-Free Low-Precision LLM Weights
[
OpenReview]
Poster
None
Reflective Hamiltonian Monte Carlo: Mixing Analysis and Application to Sampling on Stiefel Manifold
[
OpenReview]
Poster
None
Decision-Focused Learning via Tangent-Space Projection of Prediction Error
[
OpenReview]
Poster
None
Position: Reliable AI Needs to Externalize Implicit Knowledge: A Human–AI Collaboration Perspective
[
OpenReview]
Poster
None
Position: Sustainable Open-Source AI Requires Tracking the Cumulative Footprint of Derivatives
[
OpenReview]
Poster
None
Maximizing mutual information between prompt and response improves LLM performance with no additional data
[
OpenReview]
Poster
None
ExpAlign: Expectation-Guided Vision–Language Alignment for Open-Vocabulary Grounding
[
OpenReview]
Poster
None
Beyond Literal Translation: Evaluating Cultural Effectiveness in Social Media UGC
[
OpenReview]
Poster
None
Know More, Know Clearer: A Meta-Cognitive Framework for Knowledge Augmentation in Large Language Models
[
OpenReview]
Poster
None
Darwinian Memory: A Training-Free Self-Regulating Memory System for GUI Agent Evolution
[
OpenReview]
Poster
None
CVE-Factory: Scaling Expert-Level Agentic Tasks for Code Security Vulnerability
[
OpenReview]
Poster
None
Mitigating Noise-Induced Layout Priors for Object Counting in Diffusion Models
[
OpenReview]
Poster
None
Interpreting and Steering State-Space Models via Activation Subspace Bottlenecks
[
OpenReview]
Poster
None
Refining Context-Entangled Content Segmentation via Curriculum Selection and Anti-Curriculum Promotion
[
OpenReview]
Poster
None
At the Edge of Understanding: Sparse Autoencoders Trace The Limits of Transformer Generalization
[
OpenReview]
Poster
None
FedScar: Correcting Geometric Bias for Flatness-Consistent Federated Learning
[
OpenReview]
Poster
None
Quantifying LLM Attention-Head Stability: Implications for Circuit Universality
[
OpenReview]
Poster
None
HSMAD: Heterophily-Driven Spectral and Manifold Learning for Graph Anomaly Detection
[
OpenReview]
Poster
None
Optimal Transport–Guided Stochastic Control for Graph Combinatorial Optimization
[
OpenReview]
Poster
None
Federated Causal Inference on Multi-Site Observational Data via Propensity Score Aggregation
[
OpenReview]
Poster
None
Modeling Spectral Energy Shifts in Spatio-Temporal Graph Anomaly Detection
[
OpenReview]
Poster
None
OmniVL-Guard: Towards Unified Vision-Language Forgery Detection and Grounding via Balanced RL
[
OpenReview]
Poster
None
KFStego: Key-Free Secure Image Distribution via Bipartite Structural Invariants
[
OpenReview]
Poster
None
MEnvAgent: Scalable Polyglot Environment Construction for Verifiable Software Engineering
[
OpenReview]
Poster
None
CrispEdit: Low-Curvature Projections for Scalable Non-Destructive LLM Editing
[
OpenReview]
Poster
None
Cheap2Rich: A Multi-Fidelity Framework for Data Assimilation and System Identification of Multiscale Physics - Rotating Detonation Engines
[
OpenReview]
Poster
None
SENDAI: A Hierarchical Sparse-measurement, EfficieNt Data AssImilation Framework
[
OpenReview]
Poster
None
Relational In-Context Learning via Synthetic Pre-training with Structural Prior
[
OpenReview]
Poster
None
StormInsight: Hierarchical Environmental Forcing and Vertical Coupling for Weather System Evolution
[
OpenReview]
Poster
None
Causal Flow Q-Learning for Robust Offline Reinforcement Learning
[
Slides]
[
Poster]
[
OpenReview]
Poster
None
Testing For Distribution Shifts with Conditional Conformal Test Martingales
[
OpenReview]
Poster
None
Conflicting Biases at the Edge of Stability: Norm versus Sharpness Regularization
[
OpenReview]
Poster
None
AlphaGRPO: Unlocking Self-Reflective Multimodal Generation in Unified Multimodal Models via Decompositional Verifiable Reward
[
OpenReview]
Poster
None
Contrastive Geometric Learning Unlocks Unified Structure- and Ligand-Based Drug Design
[
OpenReview]
Poster
None
SIMPC: Learning Self-Induced Mirror-Point Consistency for Unsupervised Point Cloud Denoising
[
OpenReview]
Poster
None
Probing the Knowledge Boundary: An Interactive Agentic Framework for Deep Knowledge Extraction
[
OpenReview]
Poster
None
Backjump-on-Graph: Empowering LLMs with Reinforced Retrospective Exploration for Agentic KG Reasoning
[
OpenReview]
Poster
None
Differentiable Weightless Controllers: Learning Logic Circuits for Continuous Control
[
OpenReview]
Poster
None
UniCoD: Enhancing Robot Policy via Unified Continuous and Discrete Representation Learning
[
OpenReview]
Poster
None
Reading Between the Tokens: Improving Preference Predictions through Mechanistic Forecasting
[
OpenReview]
Poster
None
FactGuard: Agentic Video Misinformation Detection via Reinforcement Learning
[
OpenReview]
Poster
None
GOTabPFN: From Feature Ordering to Compact Tokenization for Tabular Foundation Models on High-Dimensional Data
[
OpenReview]
Poster
None
OMAC: A Holistic Optimization Framework for LLM-Based Multi-Agent Collaboration
[
Slides]
[
Poster]
[
OpenReview]
Poster
None
A Noise Sensitivity Exponent Controls Large Statistical-to-Computational Gaps in Single- and Multi-Index Models
[
OpenReview]
Poster
None
Single-Head Attention in High Dimensions: A Theory of Generalization, Weights Spectra, and Scaling Laws
[
OpenReview]
Poster
None
Reinforcing Real-world Service Agents: Balancing Utility and Cost in Task-oriented Dialogue
[
OpenReview]
Poster
None
TF-FACE: Time-Frequency Fusion Learning via Frequency-Domain Adaptive and Controllable Enhancement for Trajectory Prediction
[
OpenReview]
Poster
None
SIKA-GP: Accelerating Gaussian Process Inference with Sparse Inducing Kernel Approximations for Bayesian Deep Learning
[
OpenReview]
Poster
None
Subspace-Aware Feature Reshaping for Open-Set Graph Class-Incremental Learning
[
OpenReview]
Poster
None
Position: Mechanisms for Aggregated Individual Reporting Should be Established for Post-Deployment Evaluation
[
OpenReview]
Poster
None
How Does Reasoning Flow? Tracing Attention-Induced Information Flow for Targeted RL in LLMs
[
OpenReview]
Poster
None
Think in Cloud, Look at Edges: Semantic-Driven Query Decomposition for Efficient Video Reasoning
[
OpenReview]
Poster
None
VIRUS: Injecting Persistent Cognitive Pathogens into Stateful Zero-Shot Object Navigation Agents
[
OpenReview]
Poster
None
TD3B: Transition-Directed Discrete Diffusion for Allosteric Binder Generation
[
OpenReview]
Poster
None
CoIRL-AD: Collaborative-Competitive Imitation-Reinforcement Learning in Latent World Models for Autonomous Driving
[
OpenReview]
Poster
None
Position: Current Benchmarking Hinders Real Progress in Deep Learning for Time Series Forecasting
[
OpenReview]
Poster
None
A Solvable High-Dimensional Model Where Nonlinear Autoencoders Learn Structure Invisible to PCA While Test Loss Misaligns With Generalization
[
OpenReview]
Poster
None
SeisMark: A Large-Scale Open Benchmark for Robust 3D Seismic Fault Detection
[
OpenReview]
Poster
None
SAD-Flower: Flow Matching for Safe, Admissible, and Dynamically Consistent Planning
[
OpenReview]
Poster
None
Factored Value Functions for Graph-Based Multi-Agent Reinforcement Learning
[
OpenReview]
Poster
None
Cutting LLM Evaluation Costs with SySRs: A Bandit Algorithm that Provably Exploits Model Similarity
[
OpenReview]
Poster
None
InfVSR: Toward Consistency-Driven Streaming Generative Video Super-Resolution
[
OpenReview]
Poster
None
Chain-of-Glimpse: Search-Guided Progressive Object-Grounded Reasoning for Video Understanding
[
Poster]
[
OpenReview]
Poster
None
Position: Stop evaluating AI with human tests, develop principled, AI-specific tests instead
[
OpenReview]
Poster
None
Efficient Adaptive Testing via Gradient Path Matching Subset Selection for AI Education
[
OpenReview]
Poster
None
AugMask: Score-Based Generative Modeling of Incomplete Tabular Data via Augmentation and Masking
[
OpenReview]
Poster
None
CoarseBind: Fast and Accurate Binding Affinity Prediction through Coarse Structural Representations
[
OpenReview]
Poster
None
SpikeCLR: Self-Supervised Contrastive Learning for Visual Representations with Spiking Neural Networks
[
OpenReview]
Poster
None
Giving Sensors a Voice: Multimodal JEPA for Semantic Time-Series Embeddings
[
OpenReview]
Poster
None
SpaEF: Spatially Resolved Transcriptomics Data Element-Wise Denoising Framework Powered by Large Models
[
Slides]
[
Poster]
[
OpenReview]
Poster
None
STT-LLM: Structural-Temporal Tokenization for Adapting LLMs to Longitudinal Clinical Profiles
[
OpenReview]
Poster
None
FeRA: Frequency-Energy Constrained Routing for Effective Diffusion Adaptation Fine-Tuning
[
OpenReview]
Poster
None
Revealing Differences in Multi-Modal Embeddings via Constrained Kernel Analysis
[
OpenReview]
Poster
None
Multi-Level Strategic Classification: Incentivizing Improvement through Promotion and Relegation Dynamics
[
OpenReview]
Poster
None
GEPC: Group-Equivariant Posterior Consistency for Out-of-Distribution Detection in Diffusion Models
[
OpenReview]
Poster
None
Are We Overconfident in Models and Results for Semi-Supervised 3D Medical Image Segmentation?
[
OpenReview]
Poster
None
State Space Model with Continuous Limit of HiPPO Matrix: Eigenvalue Analysis and Explicit Solution Formula
[
OpenReview]
Poster
None
VPD-100K: Towards Generalizable and Fine-grained Visual Privacy Protection
[
OpenReview]
Poster
None
Target-Driven Policy Optimization for Sequential Counterfactual Outcome Control
[
OpenReview]
Poster
None
Active Policy Optimization for Individualized Dosing via Gradient Variance Minimization
[
OpenReview]
Poster
None
UniPercept: Towards Unified Perceptual-Level Image Understanding across Aesthetics, Quality, Structure, and Texture
[
OpenReview]
Poster
None
Generation Enhances Understanding in Unified Multimodal Models via Multi-Representation Generation
[
OpenReview]
Poster
None
From Patches to Plans: Reasoning Distillation for Repository-Level Program Repair
[
OpenReview]
Poster
None
MICE-Bench: A Challenging and Comprehensive Benchmark for Multi-Reference Image Creation and Editing
[
OpenReview]
Poster
None
Positive–Unlabeled Reinforcement Learning Distillation for On-Premise Small Models
[
OpenReview]
Poster
None
How (Not) to Hybridize Neural and Mechanistic Models for Epidemiological Forecasting
[
OpenReview]
Poster
None
RC-FCL: Combating Asynchronous Concept Drift in Federated Continual Learning via Retrospective Calibration
[
OpenReview]
Poster
None
MEMO: Memory-Augmented Model Context Optimization for Robust Multi-Turn Multi-Agent LLM Games
[
OpenReview]
Poster
None
AMA-Bench: Evaluating Long-Horizon Memory for Agentic Applications
[
Slides]
[
OpenReview]
Poster
None
MINIF2F-DAFNY: LLM-Guided Mathematical Theorem Proving via Auto-Active Verification
[
OpenReview]
Poster
None
Learning-Augmented Scalable Linear Assignment Problem Optimization via Neural Dual Warm-Starts
[
OpenReview]
Poster
None
What Characterizes Effective Reasoning? Revisiting Length, Review, and Structure of CoT
[
OpenReview]
Poster
None
DecFus: Decentralized Layer-wise Fusion with Dynamic Exploration and Exploitation
[
OpenReview]
Poster
None
AnalogVerifier: A Neuro-Symbolic Framework for Analog Circuit Verification
[
OpenReview]
Poster
None
RevealLayer: Disentangling Hidden and Visible Layers via Occlusion-Aware Image Decomposition
[
OpenReview]
Poster
None
Bridging Functional and Representational Similarity via Usable Information
[
OpenReview]
Poster
None
Towards Professional-Grade Financial Agents: Benchmarking, Tooling, and Structured Reasoning
[
OpenReview]
Poster
None
Agent0-VL: Exploring Self-Evolving Agent for Tool-Integrated Vision-Language Reasoning
[
OpenReview]
Poster
None
OTora: A Unified Red Teaming Framework for Reasoning-Level Denial-of-Service in LLM Agents
[
OpenReview]
Poster
None
Rh-3DGS: Robust Open-Vocabulary Scene Understanding via Riemannian Huber Distillation and Manifold-Aware Sampling
[
OpenReview]
Poster
None
SynLaD: Latent Diffusion for Generating Synthesizable Molecules Conditioned on 3D Pharmacophore Profiles
[
OpenReview]
Poster
None
How to Avoid Debate: Scalable AI Safety via Doubly-Efficient Interactive Proofs
[
OpenReview]
Poster
None
Induction Meets Biology: Mechanisms of Repeat Detection in Protein Language Models
[
OpenReview]
Poster
None
Physics-informed coarsening for multigrid graph neural networks surrogates
[
OpenReview]
Poster
None
TritonGym: A Benchmark for Agentic LLM Workflows in Triton GPU Code Generation
[
OpenReview]
Poster
None
CACR: Reinforcing Temporal Answer Grounding in Instructional Video via Candidate-Aware Causal Reasoning
[
OpenReview]
Poster
None
FEDEMOE: IMPROVING PERSONALIZATION ON HET- EROGENEOUS FEDERATED LEARNING VIA ELASTIC MIXTURE OF EXPERTS ARCHITECTURE
[
OpenReview]
Poster
None
ScaleSim: Serving Large-Scale Multi-Agent Simulation with Invocation Distance-Based Memory Management
[
OpenReview]
Poster
None
PlugGuard: A Streaming Safeguard for Large Models via Latent Dynamics-Guided Risk Detection
[
OpenReview]
Poster
None
Rethinking Attention in Spiking Transformers: Overcoming Density Bias with Set Similarity
[
OpenReview]
Poster
None
Position: Regulating Algorithms Is Not Enough. A Study of Content Discovery in Online Platforms
[
OpenReview]
Poster
None
Scaling the Prior: Size-Consistent Geometric Diffusion for 3D Molecular Generation
[
OpenReview]
Poster
None
Graph-R1: Towards Agentic GraphRAG Framework via End-to-end Reinforcement Learning
[
OpenReview]
Poster
None
GenUnfold: Rapidly Predict Protein Mechanical Unfolding Trajectory via a Physics-Guided Diffusion Model
[
OpenReview]
Poster
None
RBCBF: Decoding Time Safety Alignment via Risk Guided Rollback and Barrier Control
[
OpenReview]
Poster
None
Enhancing Neural Theorem Proving via High-Quality Proof Selection and Verifier Feedback
[
OpenReview]
Poster
None
Quantifying the Generalization Gap in Seizure Detection: A Large-Scale Empirical Benchmark via the SzCORE Challenge
[
OpenReview]
Poster
None
Evolution Strategies at Scale: LLM Fine-Tuning Beyond Reinforcement Learning
[
OpenReview]
Poster
None
Information-Theoretic Disentangled Latent Modeling with Conditional Diffusion for Incomplete Multi-View Clustering
[
OpenReview]
Poster
None
HexGen-3: A Fully Disaggregated LLM Serving Framework with Fine-Grained Heterogeneous Resource Autoscaling
[
OpenReview]
Poster
None
Train for Truth, Keep the Skills: Binary Retrieval-Augmented Reward Mitigates Hallucinations
[
OpenReview]
Poster
None
Anchored Policy Optimization: Mitigating Exploration Collapse via Support-Constrained Rectification
[
OpenReview]
Poster
None
Landmark-Guided Policy Optimization for Multi-Objective Language Model Selection
[
OpenReview]
Poster
None
Probabilistic Bisection Algorithm Provably Achieves Exponential Convergence
[
OpenReview]
Poster
None
The Extra Tokens Matter: Disentangled Representation Learning with Vision Transformers
[
OpenReview]
Poster
None
RealisMotion: Decomposed Human Motion Control and Video Generation in the World Space
[
OpenReview]
Poster
None
A Call to Lagrangian Action: Learning Population Mechanics from Temporal Snapshots
[
OpenReview]
Poster
None
Informed Asymmetric Actor-Critic: Leveraging Privileged Signals Beyond Full-State Access
[
OpenReview]
Poster
None
You Don’t Need All That Attention: Surgical Memorization Mitigation in Text-to-Image Diffusion Models
[
OpenReview]
Poster
None
Can Recommender Systems Teach Themselves? A Recursive Self-Improving Framework with Fidelity Control
[
OpenReview]
Poster
None
Component-Wise Composite Likelihood Distillation for Censored Time-to-Event Data
[
OpenReview]
Poster
None
PointCHR: Point Cloud Analysis via Curvature-Aware Hyperbolic Rectification
[
Poster]
[
OpenReview]
Poster
None
A Linear Expectation Constraint for Selective Prediction and Routing with False-Discovery Control
[
OpenReview]
Poster
None
Language as a Wave Phenomenon: Semantic Phase Locking and Interference in Neural Networks
[
OpenReview]
Poster
None
GeoEvo: Identity-Aware Potential Game with Geometric Evolution for Personalized Multimodal Federated Learning
[
OpenReview]
Poster
None
Controlled SDEs for Long-Horizon Motion Generation under Latent Decision Uncertainty
[
OpenReview]
Poster
None
Conflict-Aware Additive Guidance for Flow Models under Compositional Rewards
[
Poster]
[
OpenReview]
Poster
None
WBMM: Windowed Batch Matrix Multiplication for Efficient Large Receptive Field Convolution
[
OpenReview]
Poster
None
Conversation for Non-verifiable Learning: Self-Evolving Large Language Models through Meta-Evaluation
[
OpenReview]
Poster
None
ProSAR: Prototype-Guided Semantic Augmentation and Refinement for Time Series Contrastive Learning
[
OpenReview]
Poster
None
Unlocking Noise-Resistant Vision: Key Architectural Secrets for Robust Models Against Gaussian Noise
[
OpenReview]
Poster
None
Token-Sparse Medical Multimodal Reasoning via Dual-Stream Reinforcement Learning
[
OpenReview]
Poster
None
Closing the Sim-to-Real Gap in Non-Markovian Spreading Processes via GPU-Accelerated Distributional RL
[
OpenReview]
Poster
None
dnaHNet: A Scalable and Hierarchical Foundation Model for Genomic Sequence Learning
[
OpenReview]
Poster
None
Inference-Time Conformal Reasoning with Valid Factuality Control for Large Language Models
[
OpenReview]
Poster
None
Geometric Pocket-Centric Protein Encoding for Polypharmacology-Guided Multi-Target Drug Design
[
OpenReview]
Poster
None
InfoDLM: an Information-Adaptive Framework for Discrete Diffusion Language Model Pretraining
[
OpenReview]
Poster
None
Latent Forcing: Reordering the Diffusion Trajectory for Pixel-Space Image Generation
[
OpenReview]
Poster
None
Interpretable Functional Koopman Learning with Non-Markovian Closure for Spatiotemporal Systems
[
OpenReview]
Poster
None
S2GS: Streaming Semantic Gaussian Splatting for Online Scene Understanding and Reconstruction
[
Slides]
[
OpenReview]
Poster
None
Efficient-DLM: From Autoregressive to Diffusion Language Models, and Beyond in Speed
[
OpenReview]
Poster
None
Deep networks learn to parse uniform-depth context-free languages from local statistics
[
OpenReview]
Poster
None
XPERT: Expert Knowledge Transfer for Effective Training of Language Models
[
Poster]
[
OpenReview]
Poster
None
PACE: Post-Causal Entropy Modeling for Learned LiDAR Point Cloud Compression
[
OpenReview]
Poster
None
Decentralized and Disentangled Task–Role Representation Learning for Generalizable Offline Multi-Agent Meta Reinforcement Learning
[
OpenReview]
Poster
None
High-Dimensional Learning Dynamics of Quantized Models with Straight-Through Estimator
[
OpenReview]
Poster
None
Sign Lock-In: Randomly Initialized Weight Signs Persist and Bottleneck Sub-Bit Model Compression
[
OpenReview]
Poster
None
Revisiting Anisotropy in Language Transformers: The Geometry of Learning Dynamics
[
OpenReview]
Poster
None
DEGAP: Dynamic Entropy-Guided Attention Perturbation for Contrastive Decoding in Large Vision-Language Models
[
OpenReview]
Poster
None
Off-Policy Learning in Large Action Spaces: Optimization Matters More Than Estimation
[
OpenReview]
Poster
None
Condition-Aware Graph Flow Matching for Modeling the Distributions of Complex Physical Systems
[
OpenReview]
Poster
None
Beyond Binary: Continuous State Optimization with Graph-Structured Objectives
[
OpenReview]
Poster
None
Near-Optimal Regret for Policy Optimization in Contextual MDPs with General Offline Function Approximation
[
OpenReview]
Poster
None
How can we assess human-agent interactions? Case studies in software agent design
[
OpenReview]
Poster
None
Interpretability Transfer from Language to Vision via Sparse Autoencoders
[
Poster]
[
OpenReview]
Poster
None
VidLaDA: Bidirectional Diffusion Large Language Models for Efficient Video Understanding
[
OpenReview]
Poster
None
A$^2$SG: Adaptive and Asymmetric Surrogate Gradients for Training Deep Spiking Neural Network
[
OpenReview]
Poster
None
MapUQ: Map with Uncertainty Quantification for Robust BEV Vectorized Construction
[
OpenReview]
Poster
None
Lookahead Sample Reward Guidance for Test-Time Scaling of Diffusion Models
[
OpenReview]
Poster
None
Amortized Simulation-Based Inference in Generalized Bayes via Neural Posterior Estimation
[
OpenReview]
Poster
None
WorldComp2D: Spatio-semantic Representations of Object Identity and Location from Local Views
[
OpenReview]
Poster
None
Learning Self-Interpretation from Interpretability Artifacts: Training Lightweight Adapters on Vector-Label Pairs
[
OpenReview]
Poster
None
Endogenous Resistance to Activation Steering in Language Models: Evidence for Internal Consistency Monitoring in Llama-3.3-70B
[
OpenReview]
Poster
None
RSA-CP: Efficient Conformal Prediction in Small-Sample Regimes via Random Score Alignment
[
OpenReview]
Poster
None
Deep Progressive Training: scaling up depth capacity of zero/one-layer models
[
OpenReview]
Poster
None
Towards Long-Horizon Interpretability: Efficient and Faithful Multi-Token Attribution for Reasoning LLMs
[
OpenReview]
Poster
None
Norm$\times$Direction: Restoring the Missing Query Norm in Vision Linear Attention
[
OpenReview]
Poster
None
Are VLMs Seeing or Just Saying? Uncovering the Illusion of Visual Re-examination
[
OpenReview]
Poster
None
Markov Chain Monte Carlo without Evaluating the Target: an Auxiliary Variable Approach
[
OpenReview]
Poster
None
Do Text Edits Generalize to Visual Generation? Benchmarking Cross-Modal Knowledge Editing in UMMs
[
OpenReview]
Poster
None
Geometric Reciprocity: Unlocking Self-Supervision for Stereoscopic Video Generation
[
OpenReview]
Poster
None
iVGR: Internalizing Visually Grounded Reasoning for MLLMs with Reinforcement Learning
[
OpenReview]
Poster
None
MetaMoE: Diversity-Aware Proxy Selection for Privacy-Preserving Mixture-of-Experts Unification
[
OpenReview]
Poster
None
Fast Autoregressive Video Diffusion and World Models with Temporal Cache Compression and Sparse Attention
[
OpenReview]
Poster
None
SGMD: Score Gradient Matching Distillation for Few-Step Video Diffusion Distillation
[
OpenReview]
Poster
None
SpreadsheetArena: Decomposing Preference in LLM Generation of Spreadsheet Workbooks
[
OpenReview]
Poster
None
A Fourier perspective on the learning dynamics of neural networks: from sample complexities to mechanistic insights
[
Poster]
[
OpenReview]
Poster
None
TIMI: Training-Free Image-to-3D Multi-Instance Generation with Spatial Fidelity
[
OpenReview]
Poster
None
Beyond External Monitors: Enhancing Transparency of Large Language Models for Easier Monitoring
[
OpenReview]
Poster
None
Calibrating Decision Robustness via Inverse Conformal Risk Control
[
Slides]
[
OpenReview]
Poster
None
Tiny Brains, Giant Impact: Uncovering the Keystone Neurons of LLM with Just a Few Prompts
[
OpenReview]
Poster
None
Stop the Flip-Flop: Context-Preserving Verification for Fast Revocable Diffusion Decoding
[
OpenReview]
Poster
None
Variance-Reduced Zeroth-Order Langevin Dynamics for Non-Log-Concave Black-Box Sampling and Inverse Problems
[
OpenReview]
Poster
None
Enabling Faithful Camera Control in Video Diffusion through Geometry-Flow-Guided Noise Warping
[
OpenReview]
Poster
None
Large-scale Uncertainty Quantification for Latent Variable Models Using Subsampling Markov Chain Monte Carlo
[
OpenReview]
Poster
None
Risk-Bounded Distribution Reconstruction: Stable Statistic Calibration for Long-Tailed Recognition
[
OpenReview]
Poster
None
When to Memorize and When to Stop: Gated Recurrent Memory for Long-Context Reasoning
[
OpenReview]
Poster
None
Explanations are a Means to an End: A Value of Information Framework for Validating Explanations
[
OpenReview]
Poster
None
Discriminative Attribute Graph Clustering Through Topology-Guided Contrastive Learning
[
OpenReview]
Poster
None
CauseCollab: Causal Unified and Modality-Agnostic Network for Heterogeneous Collaborative Perception
[
OpenReview]
Poster
None
More Sail than Ballast: Addressing Harmful Knowledge Leakage in the Expansive Reasoning Space of LRMs
[
OpenReview]
Poster
None
Learning the Interaction Prior for Protein-Protein Interaction Prediction: A Model-Agnostic Approach
[
OpenReview]
Poster
None
Unfolding Generative Flows with Koopman Operators: Trajectory-Preserving Linearization
[
OpenReview]
Poster
None
Training Prompt Matters: State-Adaptive Optimization for Robust Fine-Tuning
[
OpenReview]
Poster
None
Origo: Physically Interpretable Multi-Physics PDE Pre-training through Neural Operator Splitting
[
OpenReview]
Poster
None
Latent Space Robust Optimization of Neural Processes with Aligned Stratified Order-Statistic Loss Reduction
[
OpenReview]
Poster
None
Great Minds Think Alike: Contextual Tacit Communication for Decentralized LLM-Agent Cooperation
[
OpenReview]
Poster
None
Geometric Entropy and Retrieval Phase Transitions in Continuous Thermal Dense Associative Memory
[
OpenReview]
Poster
None
U$^3$CF: Unbiased, Unconfounding, and Unified Causal Framework for Multi-Target Domain Adaptation
[
OpenReview]
Poster
None
Achieving Structurally Robust Gromov Wasserstein Distance via Adaptive Dual-Mask
[
OpenReview]
Poster
None
d2p: Fast and Scalable Structured Attention with Differentiable Dynamic Programming
[
OpenReview]
Poster
None
MEDA: Medical-Oriented Activation Editing for Hallucination Mitigation in Medical Large Vision-Language Model
[
OpenReview]
Poster
None
LoBCD-GW: A Fast and Data-Dependent Algorithm for Computing Gromov-Wasserstein Distance via Localized Block Coordinate Descent
[
OpenReview]
Poster
None
Unified Safe In-context Image Generation in Multimodal Diffusion Transformers
[
OpenReview]
Poster
None
OptProver: Bridging Olympiad and Optimization through Continual Training in Formal Theorem Proving
[
OpenReview]
Poster
None
You Don't Protect if You Don't Expect: Breaking the Key Assumption behind CLIP's Test-Time Defenses
[
OpenReview]
Poster
None
Embodied Task Planning via Graph-Informed Action Generation with Large Lanaguage Model
[
Slides]
[
Poster]
[
OpenReview]
Poster
None
QPKO: Differentiable QP-Embedded Deep Koopman Framework for Modeling Nonlinear Systems
[
OpenReview]
Poster
None
Group Cognition Learning: Making Everything Better Through Controlled Two-Stage Agents Collaboration
[
OpenReview]
Poster
None
Unified Episodic and Semantic Memory via Modulating Transformer FeedForward Layers
[
OpenReview]
Poster
None
OrchJail: Jailbreaking Tool-Calling Text-to-Image Agents by Orchestration-Guided Fuzzing
[
OpenReview]
Poster
None
Position: The Privacy-Auditability Paradox in Federated Learning: Why We Need Controllable Secure Aggregation
[
OpenReview]
Poster
None
Detecting and Filtering Unsafe Training Data via Data Attribution with Denoised Representation
[
OpenReview]
Poster
None
ArcVQ-VAE: A Spherical Vector Quantization Framework with ArcCosine Additive Margin
[
OpenReview]
Poster
None
Learning from Comparison: Constrained Projection Policy Optimization for Pareto-Front Improvement
[
OpenReview]
Poster
None
A Two-Layer Framework for Joint Online Configuration Selection and Admission Control
[
OpenReview]
Poster
None
Think Less, Act Early: Reinforced Latent Reasoning with Early Exit in Vision-Language-Action Models
[
OpenReview]
Poster
None
Responsible Text-to-Image Diffusion: Interpretable and Linearly Controllable Semantics for Fair and Safe Generation
[
Poster]
[
OpenReview]
Poster
None
Stronger Semantic Encoders Can Harm Relighting Performance: A Probe of Visual Priors via Augmented Latent Intrinsics
[
OpenReview]
Poster
None
Emergent Visual Representations through Unsupervised Spiking Networks with Synaptic Pruning
[
OpenReview]
Poster
None
ProConMV: Provenance-Enabled Conceptual Framework for Interpretable Multi-View Diabetic Retinopathy Diagnosis
[
OpenReview]
Poster
None
Decoupled Training with Local Reinforcement Fine-Tuning in Federated Learning
[
OpenReview]
Poster
None
Group-wise Data Ordering: Enhancing Instruction Tuning of Large Language Models via Embedding Proximity
[
OpenReview]
Poster
None
From Correspondence to Actions: Human-Like Multi-Image Spatial Reasoning in Multi-modal Large Language Models
[
OpenReview]
Poster
None
The Labyrinth and the Thread: Rethinking Regularizations in Sequential Knowledge Editing for Large Language Models
[
OpenReview]
Poster
None
Squeezing More from the Stream : Learning Representation Online for Streaming Reinforcement Learning
[
OpenReview]
Poster
None
TileSparse: Arithmetic-Intensity-Aware Sparse Attention for Compute-Bound LLM Decoding
[
OpenReview]
Poster
None
GUI-Spotlight: Adaptive Iterative Focus Refinement for Enhanced GUI Visual Grounding
[
OpenReview]
Poster
None
Rapid Poison: Practical Poisoning Attacks Against the Rapid Response Framework
[
OpenReview]
Poster
None
Federated Manifold Learning (FML): Tackling Domain Heterogeneity with Structural Knowledge Transfer
[
OpenReview]
Poster
None
ImmersePro: End-to-End Stereo Video Synthesis Via Implicit Disparity Learning
[
OpenReview]
Poster
None
Mitigating Visual Hallucinations via Semantic Curriculum Preference Optimization in MLLMs
[
OpenReview]
Poster
None
Gaussian Mean Field Variational Inference can Overestimate Predictive Variance
[
OpenReview]
Poster
None
ScDiVa: Masked Discrete Diffusion for Joint Modeling of Single-Cell Identity and Expression
[
OpenReview]
Poster
None
Zeroth-Order Forward-Only SNN Training Inspiring Neuromorphic On-Chip Learning
[
OpenReview]
Poster
None
Does Reinforcement Fine-Tuning Improve Generalization of LLM Agents? An Empirical Study
[
OpenReview]
Poster
None
FoundObj: Self-supervised Foundation Models as Rewards for Label-free 3D Object Segmentation
[
OpenReview]
Poster
None
HO-SFL: Hybrid-Order Split Federated Learning with Backprop-Free Clients and Dimension-Free Aggregation
[
OpenReview]
Poster
None
Listening Through the Noise: Cauchy-Driven Diffusion Bridges for Robust Gastrointestinal Auscultation and Clinical Benchmarking
[
OpenReview]
Poster
None
Learning Multi-Timescale Abstractions for Hierarchical Combinatorial Planning
[
OpenReview]
Poster
None
Toward More Reliable Agent Evaluation: A Component-Based Benchmark Auditing Pipeline
[
OpenReview]
Poster
None
PrivCode++ : Latent-Conditioned Differentially Private Code Generation for Comprehensive Guarantees
[
OpenReview]
Poster
None
Forget-It-All: Multi-Concept Machine Unlearning via Concept-Aware Neuron Masking
[
Poster]
[
OpenReview]
Poster
None
Rethinking Temporal Consistency in Video Object-Centric Learning: From Prediction to Correspondence
[
Slides]
[
Poster]
[
OpenReview]
Poster
None
Student-Centered Distillation Narrows the Agentic Gap Between Small and Large LLMs
[
Poster]
[
OpenReview]
Poster
None
Identifying and Correcting Label Noise for Robust GNNs via Influence Contradiction
[
OpenReview]
Poster
None
Synthesizable Molecular Generation via Soft-constrained GFlowNets with Rich Chemical Priors
[
OpenReview]
Poster
None
E2Former-V2: On-the-Fly Equivariant Attention with Linear Activation Memory
[
OpenReview]
Poster
None
Cross-Chirality Generalization by Axial Vectors for Hetero-Chiral Protein-Peptide Interaction Design
[
OpenReview]
Poster
None
Leveraging Machine Unlearning for Cost-Efficient Preference Alignment
[
Slides]
[
Poster]
[
OpenReview]
Poster
None
ACTG-ARL: Differentially Private Conditional Text Generation with RL-Boosted Control
[
Slides]
[
OpenReview]
Poster
None
SteeringSafety: Benchmarking Representation Steering in LLMs Across Safety Perspectives
[
OpenReview]
Poster
None
From 2D Grids to 1D Tokens: Reforming Shared Representations for Multimodal Image Fusion
[
OpenReview]
Poster
None
Meta-iLaD: Identifiable Latent Dynamics via Meta-Learning of Dynamics Environments
[
OpenReview]
Poster
None
Mind the budget: Accelerating Deep Reinforcement Learning using Early Exit Neural Networks
[
OpenReview]
Poster
None
Layer-Centric Factors of Variation Disentanglement for Task- and Model-Agnostic Generalization
[
OpenReview]
Poster
None
Learning Realistic Depth via Physics-Grounded Noise Disentanglement with Semantic-Geometric Collaboration
[
OpenReview]
Poster
None
The Art of Interrogation: Consistency Amplifies Factuality in Spatial Reasoning
[
OpenReview]
Poster
None
NeurVLA: Unleashing Failure-Handling Capability of Vision-Language-Action Models via Neural-Symbolic Reasoning
[
Slides]
[
Poster]
[
OpenReview]
Poster
None
Preference-Enhanced Reinforcement Learning for Pluralistic Image Inpainting
[
OpenReview]
Poster
None
Towards Efficient Large Language Reasoning Models via Extreme-Ratio Chain-of-Thought Compression
[
OpenReview]
Poster
None
From Pixels to Tokens: A Systematic Study of Latent Action Supervision for Vision-Language-Action Models
[
OpenReview]
Poster
None
DRFusion: Drift-Resilient Temporally Consistent Infrared–Visible Video Fusion
[
OpenReview]
Poster
None
Entangled No More: Multi-Domain Decoupling for Robust Dynamic Graph Neural Networks
[
OpenReview]
Poster
None
A Geometry-Aware Efficient Algorithm for Compositional Entropic Risk Minimization
[
OpenReview]
Poster
None
Ego3S: Select, Strengthen, and Synchronize for Efficient Egocentric Reasoning
[
OpenReview]
Poster
None
FOAM: Frequency and Operator-Error Based Adaptive Damping Method for Reducing Staleness-Oriented Error for Shampoo
[
OpenReview]
Poster
None
Improving Adversarial Robustness of Attribution via Implicit Regularization
[
OpenReview]
Poster
None
CoRe: Combined Rewards with Vision-Language Model Feedback for Preference-Aligned Reinforcement Learning
[
OpenReview]
Poster
None
WaterSIC: information-theoretically (near) optimal linear layer quantization
[
OpenReview]
Poster
None
A Semantically Consistent Dataset for Data-Efficient Query-Based Universal Sound Separation
[
OpenReview]
Poster
None
AD-MIR: Bridging the Gap from Perception to Persuasion in Advertising Video Understanding via Structured Reasoning
[
OpenReview]
Poster
None
Bridging Structure and Semantics: Uncertainty-Modulated Dual-Path Diffusion for Robust Text-Attributed Graph Learning
[
OpenReview]
Poster
None
An Asymmetric Latent Factorization-of-Tensors Model for Relation Extraction
[
OpenReview]
Poster
None
Large Language Models as Topological Thinkers: A Benchmark on Graph Persistent Homology
[
OpenReview]
Poster
None
Constrained hybrid modelling to predict microbial dynamics and organic matter turnover in soil systems
[
OpenReview]
Poster
None
TextResNet: Decoupling and Routing Optimization Signals in Compound AI Systems via Deep Residual Tuning
[
OpenReview]
Poster
None
TEAM: Temporal–Spatial Consistency Guided Expert Activation for MoE Diffusion Language Model Acceleration
[
OpenReview]
Poster
None
Once-for-All: Scalable Simultaneous Forecasting via Equilibrium State Estimation
[
OpenReview]
Poster
None
RAMAC: Multimodal Risk-Aware Offline Reinforcement Learning and the Role of Behavior Regularization
[
OpenReview]
Poster
None
LARA: Latent Action Representation Alignment for Vision-Language-Action Models
[
OpenReview]
Poster
None
AD-BTS: Adaptive Dual-Branch Token Sparsification via Spatial Information Density
[
OpenReview]
Poster
None
Differentiable Optimization Layers for Guaranteed Fairness in Deep Learning
[
OpenReview]
Poster
None
Manifold-Aligned Guided Integrated Gradients for Reliable Feature Attribution
[
Poster]
[
OpenReview]
Poster
None
Size Transferability of Graph Convolutional Networks across Sparsity: A Generalized Graphon Perspective
[
OpenReview]
Poster
None
Variational Inference for Uncertain Optimal Transport via Sinkhorn Parametrization
[
OpenReview]
Poster
None
With Argus Eyes: Assessing Retrieval Gaps via Uncertainty Scoring to Detect and Remedy Retrieval Blind Spots
[
OpenReview]
Poster
None
CVSearch: Empowering Multimodal LLMs with Cognitive Visual Search for High-Resolution Image Perception
[
OpenReview]
Poster
None
Grounding Multi-Hop Reasoning in Structural Causal Models via Group Relative Policy Optimization
[
OpenReview]
Poster
None
Multi-Objective Preference Optimization: Improving Human Alignment of Generative Models
[
OpenReview]
Poster
None
Value-as-Return: A Two-Stage Framework to Align on the Optimal Score Function
[
OpenReview]
Poster
None
Measurement-Consistent Langevin Corrector for Stabilizing Latent Diffusion Inverse Problem Solvers
[
OpenReview]
Poster
None
VALUEFLOW: Toward Pluralistic and Steerable Value-based Alignment in Large Language Models
[
OpenReview]
Poster
None
Unsupervised Diffusion for Combinatorial Optimization via Adjoint Matching
[
OpenReview]
Poster
None
AffIn-Space: Learning Affine-Invariant Representations for 3D Spatial Understanding with MLLMs
[
OpenReview]
Poster
None
RSF-GLLM: Bridging the Semantic Gap in Multi-Hop Knowledge Graph QA via Recurrent Soft-Flow and Decoupled LLM Generation
[
OpenReview]
Poster
None
Position: Epistemic uncertainty estimation methods are fundamentally incomplete
[
OpenReview]
Poster
None
Federated Sketching LoRA: A Flexible Framework for Heterogeneous Collaborative Fine-Tuning of LLMs
[
Slides]
[
OpenReview]
Poster
None
Multi-Scale Wavelet Transformers for Operator Learning of Dynamical Systems
[
OpenReview]
Poster
None
Opportunistic Expert Activation: Batch-Aware Expert Routing for Faster Decode Without Retraining
[
OpenReview]
Poster
None
MuCO: Generative Peptide Cyclization Empowered by Multi-stage Conformation Optimization
[
OpenReview]
Poster
None
DecoVer: A Decompose-and-Verify Neuro-Symbolic Framework for Embodied Task Planning with BC+
[
OpenReview]
Poster
None
Scalable Single-Cell Gene Expression Generation with Latent Diffusion Models
[
OpenReview]
Poster
None
FedHera: Towards Drift-Resilient Federated Fine-tuning with Heterogeneous Resources
[
OpenReview]
Poster
None
Random Process Flow Matching: Generative Implicit Representations of Multivariate Random Fields
[
OpenReview]
Poster
None
DecoderTCR: Compositional Pretraining and Entropy-Guided Decoding for TCR-pMHC Interactions
[
OpenReview]
Poster
None
Message Tuning Outshines Graph Prompt Tuning: A Prismatic Space Perspective
[
OpenReview]
Poster
None
Learning Interpretable Options by Identifying Reward Diffusion Bottlenecks in Reinforcement Learning
[
OpenReview]
Poster
None
Convergence Rate Analysis of the AdamW-Style Shampoo: Unifying One-sided and Two-Sided Preconditioning
[
Slides]
[
Poster]
[
OpenReview]
Poster
None
LakeQA: A Benchmark for Complex Exploratory QA over a Million-Scale Data Lake
[
OpenReview]
Poster
None
Scalable and Stable Estimation of Amari $\alpha$-Divergence using Random Fourier Features
[
OpenReview]
Poster
None
OpenIKLR: Bridging the Reasoning Gap in Open-World Scenarios via Iterative Premise Completion
[
OpenReview]
Poster
None
Hista and Numca: Estimate State Value Effectively for Large Language Model Reinforcement Learning
[
OpenReview]
Poster
None
HInT: Hypergraph Infusion at the Structural Layers Improves Table Understanding
[
OpenReview]
Poster
None
ReflFlow: Learning Geometry-Guided Ray Tracing for Dynamic Specular Reconstruction
[
OpenReview]
Poster
None
LitReview Arena: Evaluating Literature Review Agents with Battle-style Peer Review Platform
[
OpenReview]
Poster
None
Revisiting Regularized Policy Optimization for Stable and Efficient Reinforcement Learning in Two-Player Games
[
OpenReview]
Poster
None
One Batch Is Enough: A Unified Dataset Condensation Framework for General Time Series Analysis
[
OpenReview]
Poster
None
The Latent Guardian: Defending Collaborative Perception via Feature-Level Consistency Verification
[
OpenReview]
Poster
None
HiST: A Hierarchical Sparse Transformer for Cross-Modal Spatial Transcriptomics Modeling
[
OpenReview]
Poster
None
TDM-R1: Reinforcing Few-Step Diffusion Models with Non-Differentiable Reward
[
OpenReview]
Poster
None
Escaping the Subspace Trap: The Role of Optimizer Geometry in Model Width Expansion
[
OpenReview]
Poster
None
Convex Low-resource Accent-Robust Language Detection in Speech Recognition
[
Slides]
[
Poster]
[
OpenReview]
Poster
None
Stochastic Lifting for Generating Trajectories of Stochastic Physical Systems
[
OpenReview]
Poster
None
Leveraging Gauge Freedom for Learning Non-Gradient Population Dynamics of Stochastic Systems
[
OpenReview]
Poster
None
COFT: Counterfactual–Conformal Decoding for Fair Chain‑of‑Thought Reasoning in Large Language Models
[
OpenReview]
Poster
None
SEMA: a Scalable and Efficient Mamba like Attention via Token Localization and Averaging
[
OpenReview]
Poster
None
DECOR: Learning to Decompose and Collaborate in Deep Search via Multi-Agent Reinforcement Learning
[
OpenReview]
Poster
None
Light Forcing: Accelerating Autoregressive Video Diffusion via Sparse Attention
[
OpenReview]
Poster
None
SimulCost: A Cost-Aware Benchmark and Toolkit for Automating Physics Simulations with LLMs
[
OpenReview]
Poster
None
Trajectory-Aware Certified Decentralized Unlearning via SGD Stability
[
Poster]
[
OpenReview]
Poster
None
Embedding Trust: Semantic Isotropy Predicts Nonfactuality in Long-Form Text Generation
[
OpenReview]
Poster
None
Understanding and Mitigating Token-Pruning-Induced Vulnerabilities in VLMs
[
Poster]
[
OpenReview]
Poster
None
Mitigating the Contractivity Trap in Diffusion ODEs via Stein Stabilization
[
OpenReview]
Poster
None
Convex Optimization for Alignment and Preference Learning on a Single GPU
[
Slides]
[
Poster]
[
OpenReview]
Poster
None
Softplus Attention with Re-weighting Boosts Length Extrapolation in Large Language Models
[
OpenReview]
Poster
None
From Token to Token Pair: Efficient Prompt Compression for Large Language Models in Clinical Prediction
[
Poster]
[
OpenReview]
Poster
None
MCCE: A Framework for Multi-LLM Collaborative Search in Discrete Spaces with Similarity-Filtered Preference Learning
[
OpenReview]
Poster
None
Scaling Unsupervised Multi-Source Federated Domain Adaptation through Group-Wise Discrepancy Minimization
[
OpenReview]
Poster
None
ECA: Efficient Continual Alignment for Open-Ended Image-to-Text Generation.
[
OpenReview]
Poster
None
FLIP2: Expanding Protein Fitness Landscape Benchmarks for Real-World Machine Learning Applications
[
OpenReview]
Poster
None
RECAST: Model Reconstruction via Counterfactual-Aware Wasserstein Geometry under Limited Data
[
OpenReview]
Poster
None
Scaling-Aware Adapter for Structure-Grounded LLM Reasoning
[
Slides]
[
Poster]
[
OpenReview]
Poster
None
Distilling Linearized Behavior into Non-linear Fine-Tuning for Effective Task Arithmetic
[
OpenReview]
Poster
None
EMBGUARD: Constructing Hazard-Aware Guardrails for Safe Planning in Embodied Agents
[
OpenReview]
Poster
None
Positive Distribution Shift as a Framework for Understanding Tractable Learning
[
OpenReview]
Poster
None
On Training Large Language Models for Long-Horizon Tasks: An Empirical Study of Horizon Length
[
OpenReview]
Poster
None
Symmetries in language statistics shape the geometry of model representations
[
OpenReview]
Poster
None
Compass-RoPE: Isotropic Rotary Position Embeddings for Vision Transformers
[
OpenReview]
Poster
None
Time Series Reasoning via Process-Verifiable Thinking Data Synthesis and Scheduling for Tailored LLM Reasoning
[
OpenReview]
Poster
None
Coverage Improvement and Fast Convergence of On-policy Preference Learning
[
OpenReview]
Poster
None
DF-ExpEnse: Diffusion Filtered Exploration for Sample Efficient Finetuning
[
OpenReview]
Poster
None
Think Twice Before You Act: Enhancing Agent Behavioral Safety with Thought Correction
[
OpenReview]
Poster
None
Natural Hypergradient Descent: Algorithm Design, Convergence Analysis, and Parallel Implementation
[
OpenReview]
Poster
None
Primal-Spectral Generative Modeling: Fast Analytical Generation via Pseudoinverse Lévy Inversion
[
Poster]
[
OpenReview]
Poster
None
VectorWorld: Efficient Streaming World Model via Diffusion Flow on Vector Graphs
[
OpenReview]
Poster
None
Learning Attribute–Affordance Hierarchies in Hyperbolic Space for Open-Vocabulary 3D Object Affordance Grounding
[
OpenReview]
Poster
None
DLM-Scope: Mechanistic Interpretability of Diffusion Language Models via Sparse Autoencoders
[
OpenReview]
Poster
None
ActiveUltraFeedback: Efficient Preference Data Generation using Active Learning
[
OpenReview]
Poster
None
Judging What We Cannot Solve: A Consequence-Based Approach for Oracle-Free Evaluation of Research-Level Math
[
OpenReview]
Poster
None
Bullet Trains: Parallelizing Training of Temporally Precise Spiking Neural Networks
[
OpenReview]
Poster
None
Coverage, Not Averages: Semantic Stratification for Trustworthy Retrieval Evaluation
[
OpenReview]
Poster
None
Causal Matrix Completion under Multiple Treatments via Mixed Synthetic Nearest Neighbors
[
OpenReview]
Poster
None
“very likely” Means “uncertain”? How LLMs Diverge from Humans in Linguistic Uncertainty Quantification
[
OpenReview]
Poster
None
Turning Bias into Bugs: Bandit-Guided Style Manipulation Attacks on LLM Judges
[
OpenReview]
Poster
None
Position: AI Governance Needs ISO-like Interoperability Protocols, Not Just Laws
[
OpenReview]
Poster
None
DIVA: Harnessing the Representation Divergence in Unified Multimodal Models for Mutual Reinforcement
[
OpenReview]
Poster
None
Position: Uncertainty Quantification in LLMs is Just Unsupervised Clustering
[
OpenReview]
Poster
None
Provable Accuracy Collapse of Embedding-Based Representations under Dimensionality Mismatch
[
OpenReview]
Poster
None
A Game-Theoretic Framework for Measuring and Explaining Metric Compatibility in Fair Machine Learning
[
OpenReview]
Poster
None
Large-capacity and Receiver Authenticable Generative Image Steganography
[
Poster]
[
OpenReview]
Poster
None
Regularization in the Axiomatic Approach to Learning from Human Preferences
[
OpenReview]
Poster
None
Diagnosing Multi-step Reasoning Failures in Black-box LLMs via Stepwise Confidence Attribution
[
OpenReview]
Poster
None
(Be Cautious!) Bio-Foundation Models Are Not Yet Robust to Biologically Plausible Perturbations and ML Transformations
[
OpenReview]
Poster
None
From Moments to Models: Graphon-Mixture Learning for Mixup and Contrastive Learning
[
OpenReview]
Poster
None
Scientific logicality enriched methodology for LLM reasoning: A practice in physics
[
OpenReview]
Poster
None
Speculative Safety Honeypot: Toward Proactive Defense Against Multi-turn Agent Attacks
[
OpenReview]
Poster
None
Spatially-Regularized Entropy for Discriminative Token Merging in Fine-Grained Re-Identification
[
OpenReview]
Poster
None
Theoretical Perspectives on Data Quality and Synergistic Effects in Pre- and Post-Training Reasoning Models
[
OpenReview]
Poster
None
MVISTA-4D: View-Consistent 4D World Model with Test-Time Action Inference for Robotic Manipulation
[
OpenReview]
Poster
None
MoSA: Motion-constrained Stress Adaptation for Mitigating Real-to-Sim Gap in Continuum Dynamics via Learning Residual Anisotropy
[
OpenReview]
Poster
None
Exploring More to Solve More: Boosting Diversity in Text Diffusion Models via Entropy-Based Guidance
[
OpenReview]
Poster
None
OpenDeception: Learning Deception and Trust in Human–AI Interaction via Multi-Agent Simulation
[
OpenReview]
Poster
None
Pruning at Initialisation through the lens of Graphon Limit: Convergence, Expressivity, and Generalisation
[
OpenReview]
Poster
None
Hide and Seek in Embedding Space: Geometry-based Steganography and Detection in Large Language Models
[
OpenReview]
Poster
None
Position: Zeroth-Order Optimization in Deep Learning Is Underexplored, Not Underpowered
[
OpenReview]
Poster
None
VideoSeeker: Native Interleaved Clue Seeking for Long Video Multi-Hop Reasoning
[
Poster]
[
OpenReview]
Poster
None
Towards Understanding Modality Interaction in Multimodal Language Models via Partial Information Decomposition
[
OpenReview]
Poster
None
A Robust Optimization Guided Pruning Framework for Vision and Large Language Models
[
OpenReview]
Poster
None
ThreadWeaver: Adaptive Threading for Efficient Parallel Reasoning in Language Models
[
OpenReview]
Poster
None
MN-Diff: Diffusion Parameterized MoE-NCDE for Continuous Time Series Generation with Irregular Observations
[
OpenReview]
Poster
None
Diversity-Preserved Distribution Matching Distillation for Fast Visual Synthesis
[
OpenReview]
Poster
None
Experience-Evolving Multi-Turn Tool-Use Agent with Hybrid Episodic–Procedural Memory
[
OpenReview]
Poster
None
Channel Adapter for Time Series Foundation Models in Zero-Shot Multivariate Forecasting
[
OpenReview]
Poster
None
UniDrag: Unified Multi-Field Prediction and Robust Shape Optimization for Vehicle Aerodynamics
[
OpenReview]
Poster
None
Q-Sched: Pushing the Boundaries of Few-Step Diffusion Models with Quantization-Aware Scheduling
[
OpenReview]
Poster
None
DGG-HMR: Multi-Person Human Mesh Recovery with Depth-Guided Geometric Anchoring
[
OpenReview]
Poster
None
Position: It is Time to Virtualize Foundation Models with a Self-evolving Operating System Layer
[
OpenReview]
Poster
None
VGGT-Motion: Motion-Aware Calibration-Free Monocular SLAM for Long-Range Consistency
[
OpenReview]
Poster
None
Parametric Prior Mapping Framework for Non-stationary Probabilistic Time Series Forecasting
[
OpenReview]
Poster
None
Deterministic Inference across Tensor Parallel Sizes That Eliminates Training-Inference Mismatch
[
OpenReview]
Poster
None
Task-Driven Subspace Decomposition for Knowledge Sharing and Isolation in LoRA-based Continual Learning
[
OpenReview]
Poster
None
Large-Scale Molecular Dynamics Simulations: Direct Interatomic Modeling with Dilated Message Passing
[
OpenReview]
Poster
None
Server-Proximal Aggregation for Federated Domain-Incremental Learning under Partial Participation: Task-Uniform Convergence and Backward Transfer
[
OpenReview]
Poster
None
Unifying Value Alignment and Assignment in Cross-Domain Offline Reinforcement Learning with Heterogeneous Datasets
[
OpenReview]
Poster
None
Physically-Guided Data-Space Rectified Flow for Precipitation Nowcasting
[
Poster]
[
OpenReview]
Poster
None
Gradient-Based Causal Tree Ensembles: A Backbone Architecture for Heterogeneous Treatment Effects
[
OpenReview]
Poster
None
SynGR: Unleashing the Potential of Cross-Modal Synergy for Generative Recommendation
[
OpenReview]
Poster
None
Let the Prototype Guide You: Robust Aggregation of Sparse Multi-Class Annotations via Annotator Prototype Learning
[
Poster]
[
OpenReview]
Poster
None
Reasoning Is Not Free: Robust Adaptive Cost-Efficient Router for LLM-as-a-Judge
[
OpenReview]
Poster
None
CiteGuard: Conformal False-Discovery Control for Faithful Retrieval-Augmented Generation
[
OpenReview]
Poster
None
Reference-Free Meta-Learning for Generalized Implicit Neural Representation in Efficient MRI Reconstruction
[
OpenReview]
Poster
None
Gradients with Respect to Semantics Preserving Embeddings Tell the Uncertainty of Large Language Model
[
OpenReview]
Poster
None
CAPTCHA Solving for Native GUI Agents: Automated Reasoning-Action Data Generation and Self-Corrective Training
[
OpenReview]
Poster
None
JADE: Expert-Grounded Dynamic Evaluation for Open-Ended Professional Tasks
[
OpenReview]
Poster
None
Euler–Poincaré Neural Dynamics: A Geometric-Mechanics Framework for Scientific Simulation
[
OpenReview]
Poster
None
The Geometric Reasoner: Manifold-Informed Latent Foresight Search for Long-Context Reasoning
[
Poster]
[
OpenReview]
Poster
None
LATMiX: Learnable Affine Transformations for Microscaling Quantization of LLMs
[
Poster]
[
OpenReview]
Poster
None
LearniBridge: Learnable Calibration of Feature Caching for Diffusion Models Acceleration
[
OpenReview]
Poster
None
From Volume to Value: Preference-Aligned Memory Construction for On-Device RAG
[
OpenReview]
Poster
None
Interpretable Embeddings with Sparse Autoencoders: A Data Analysis Toolkit
[
OpenReview]
Poster
None
MV-FGAD: Towards Efficient and Effective Federated Graph Anomaly Detection via Multi-view Learning
[
OpenReview]
Poster
None
Adaptive Visual Autoregressive Acceleration via Dual-Linkage Entropy Analysis
[
OpenReview]
Poster
None
Revisiting ML Training under Fully Homomorphic Encryption: Convergence Guarantees, Differential Privacy, and Efficient Algorithms
[
OpenReview]
Poster
None
Preconditioned DeltaNet: Curvature-aware Sequence Modeling for Linear Recurrences
[
OpenReview]
Poster
None
Excited Pfaffians: Generalized Neural Wave Functions Across Structure and State
[
OpenReview]
Poster
None
Universal Reasoner: A Single, Composable Plug-and-Play Reasoner for Frozen LLMs
[
OpenReview]
Poster
None
Cycle-of-Science: Reliable Reasoning through Counterfactual Verification for Agent Decision Making
[
OpenReview]
Poster
None
De-Linearizing Agent Traces: Bayesian Inference of Latent Partial Orders for Efficient Execution
[
OpenReview]
Poster
None
Swordsman: Entropy-Driven Adaptive Block Partition for Efficient Diffusion Language Models
[
OpenReview]
Poster
None
VIP: Visual-guided Prompt Evolution for Efficient Dense Vision-Language Inference
[
Poster]
[
OpenReview]
Poster
None
SOPE: Situation-Aware and Statistically Indistinguishable Privacy Exfiltration for MCP-enabled Agents
[
OpenReview]
Poster
None
Triadic Dynamics Aware Diffusion Posterior Sampling for Inverse Problems: Optimizing Guidance and Stochasticity Schedules
[
OpenReview]
Poster
None
Angel or Demon: Investigating the Plasticity Interventions' Impact on Backdoor Threats in Deep Reinforcement Learning
[
OpenReview]
Poster
None
CBV: Clean-label Backdoor Attacks on Vision Language Models via Diffusion Models
[
OpenReview]
Poster
None
Benchmarking Physics-Informed Time-Series Models for Operational Global Station Weather Forecasting
[
OpenReview]
Poster
None
WatchLog: Efficient and Interpretable Event Reasoning for Endpoint Detection and Response Logs with Multimodal LLMs
[
OpenReview]
Poster
None
On Information Self-Locking in Reinforcement Learning for Active Reasoning
[
OpenReview]
Poster
None
TraceRouter: Robust Safety for Large Foundation Models via Path-Level Intervention
[
Poster]
[
OpenReview]
Poster
None
Logit-Attention Divergence: Mitigating Position Bias in Multi-Image Retrieval via Attention-Guided Calibration
[
OpenReview]
Poster
None
Who Transfers Safety? Identifying and Targeting Cross-Lingual Shared Safety Neurons
[
OpenReview]
Poster
None
Distributional Open-Ended Evaluation of LLM Cultural Value Alignment Based on Value Codebook
[
OpenReview]
Poster
None
Taming Stochastic Gradient Descent: Almost Sure Convergence and Saddle-Point Avoidance under $(L_{0},L_{1})$-Smoothness
[
OpenReview]
Poster
None
GRASP: Awakening Latent Spatial Reasoning in LVLMs via Training-free Geometric Rectification
[
OpenReview]
Poster
None
Time-Series Decomposition as a standalone Task: A Mechanism-Driven Diagnostic Benchmark
[
OpenReview]
Poster
None
One Intervention per Component is Enough: Towards Identifiability in Linear Stochastic Dynamics from Steady State
[
OpenReview]
Poster
None
SPR-RAFT: Parameter-Efficient Regression-Aware Fine-Tuning for Biomedical LLM Regression
[
OpenReview]
Poster
None
T2AV-Compass: Towards Unified Evaluation for Text-to-Audio-Video Generation
[
OpenReview]
Poster
None
Safety Game: Inference-Time Alignment of Black-Box LLMs via Constrained Optimization
[
OpenReview]
Poster
None
Distributionally Robust Set Representation Learning Under Inference-Time Element Corruption
[
OpenReview]
Poster
None
The Pareto-optimal Trade-off between Regret and Statistical Inference in Linear Stochastic Bandits under Safety Constraints
[
Poster]
[
OpenReview]
Poster
None
Selective Deferred Routing: Enabling Cost-Efficient Collaboration between Local SLMs and Remote LLMs
[
OpenReview]
Poster
None
Search-R2: Enhancing Search-Integrated Reasoning via Actor-Refiner Collaboration
[
OpenReview]
Poster
None
Turning Adaptation into Assets: Cross-Domain Bridging for Online Vision-Language Navigation
[
Poster]
[
OpenReview]
Poster
None
Facts in Stats: Impacts of Pretraining Diversity on Language Model Generalization
[
OpenReview]
Poster
None
How Far Can LLM Agents Reason with Tables? Benchmarking Multi-Turn Agentic Table Question Answering in the Wild
[
OpenReview]
Poster
None
Data Augmentation of Contrastive Learning is Estimating Positive-incentive Noise
[
OpenReview]
Poster
None
Support-Proximity Augmented Diffusion Estimation for Offline Black-Box Optimization
[
OpenReview]
Poster
None
HELIX: Hybrid Encoding with Learnable Identity and Cross-dimensional Synthesis for Time Series Imputation
[
Poster]
[
OpenReview]
Poster
None
Federated Distillation for Whole Slide Image via Gaussian-Mixture Feature Alignment and Curriculum Integration
[
OpenReview]
Poster
None
Fast and Highly Expressive Policy Learning for Offline Reinforcement Learning via Bootstrapped Flow Q-Learning
[
OpenReview]
Poster
None
Hierarchical Procedural Meta-Reasoning for Generalizable Multimodal Agents
[
OpenReview]
Poster
None
DEER: A Benchmark for Evaluating Deep Research Agents on Expert Report Generation
[
OpenReview]
Poster
None
Dissecting the Safety Circuit: Neuronal Intervention for Transferable Adversarial Attacks on VLMs
[
OpenReview]
Poster
None
From Zero to Hero: Advancing Zero-Shot Foundation Models for Tabular Outlier Detection
[
OpenReview]
Poster
None
PathwayLLM: Explainable Clinical Trajectory Modeling with Structured Pathways for Sepsis Prediction
[
OpenReview]
Poster
None
JanusPipe: Efficient Pipeline Parallel Training for Machine Learning Interatomic Potentials
[
OpenReview]
Poster
None
SCOPE and SCION: Benchmark and Method for Ontology Induction and Fusion from Text
[
OpenReview]
Poster
None
Efficient Generative Modeling beyond Memoryless Diffusion via Adjoint Schrödinger Bridge Matching
[
OpenReview]
Poster
None
Being More Lightweight and Practical: Mini-sized Contrastive Learning Pre-trained Models for Fine-grained Traffic Task
[
OpenReview]
Poster
None
Unlearning’s Blind Spots: Over‑Unlearning and Prototypical Relearning Attack
[
OpenReview]
Poster
None
Mind the Gap: Catching Hallucinations via Evidence Drop on the Reasoning Manifold
[
OpenReview]
Poster
None
Beyond Distribution Estimation: Simplex Anchored Structural Inference Towards Universal Semi-supervised Learning
[
OpenReview]
Poster
None
HEXST: Hexagonal Shifted-Window Transformer for Spatial Transcriptomics Gene Expression Prediction
[
OpenReview]
Poster
None
When to Think, When to Speak: Learning Disclosure Policies for Large Language Model Reasoning
[
Poster]
[
OpenReview]
Poster
None
Simultaneous Multi-objective Alignment Across Verifiable and Non-verifiable Rewards
[
OpenReview]
Poster
None
Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner
[
Slides]
[
OpenReview]
Poster
None
From Conflict to Consensus: Boosting Medical Reasoning via Multi-Round Agentic RAG
[
OpenReview]
Poster
None
Factor-Wise Homogeneity of Slot-Attention for Continual Object-Centric Learning
[
OpenReview]
Poster
None
Time Series, Vision, and Language: Exploring the Limits of Alignment in Contrastive Representation Spaces
[
OpenReview]
Poster
None
Learnable Kernel Density Estimation for Graphs and Its Application to Graph-Level Anomaly Detection
[
OpenReview]
Poster
None
Preference-Modulated Structural Attention for Multi-Objective Combinatorial Optimization
[
OpenReview]
Poster
None
Sharper Generalization Guarantees for Asynchronous SGD: Beyond Lipschitzness, Smoothness and Data Homogeneity
[
OpenReview]
Poster
None
RefineEvo: Planning-Guided Heuristic Evolution with Bidirectional Experience
[
OpenReview]
Poster
None
Adaptive Residual-Update Steering for Low-Overhead Hallucination Mitigation in Large Vision-Language Models
[
OpenReview]
Poster
None
Beyond Problem Solving: UOJ-Bench for Evaluating Code Generation, Hacking, and Repair in Competitive Programming
[
OpenReview]
Poster
None
Opt-Miner: Empowering Information-Seeking Agent with Tree-Guided Data Synthesis for Optimization Modeling
[
OpenReview]
Poster
None
DynaMem: Consistent Long Video Generation via Hierarchical Memory and Motion Priors
[
OpenReview]
Poster
None
HyMTRL: A Hybrid Multi-Task Reinforcement Learning Framework via Phased Policy Evolution
[
OpenReview]
Poster
None
IRIS: Implicit Reward-Guided Internal Sifting for Mitigating Multimodal Hallucination
[
OpenReview]
Poster
None
TransLight: Image-Guided Customized Lighting Control with Generative Decoupling
[
OpenReview]
Poster
None
From Seeing to Thinking: Decoupling Perception and Reasoning Improves Post-Training of Vision-Language Models
[
OpenReview]
Poster
None
Turning Back Without Forgetting: Selective Backward Refinement for Parameter-Efficient Continual Learning
[
OpenReview]
Poster
None
Precision-Induced Miscalibration: Understanding and Correcting Confidence Distortion in Quantized Neural Networks
[
OpenReview]
Poster
None
A Diffusive Classification Loss for Learning Energy-based Generative Models
[
OpenReview]
Poster
None
On Densest $k$-Subgraph Mining and Diagonal Loading: Optimization Landscape and Finite-Step Exact Convergence Analysis
[
OpenReview]
Poster
None
Discriminative Visual Process Rewards for Scaling Thinking at Test-Time with Images
[
OpenReview]
Poster
None
Randomized Feasibility Methods for Constrained Optimization with Adaptive Step Sizes
[
OpenReview]
Poster
None
MUSE: Resolving Manifold Misalignment in Visual Tokenization via Topological Orthogonality
[
OpenReview]
Poster
None
Video-Based Optimal Transport for Feedback-Efficient Offline Preference-Based Reinforcement Learning
[
OpenReview]
Poster
None
WorldCache: Accelerating World Models for Free via Heterogeneous Token Caching
[
OpenReview]
Poster
None
Reinforcement Learning with Verifiable Rewards: GRPO's Loss, Dynamics, and Success Amplification
[
OpenReview]
Poster
None
EmBrace: A Collective Knowledge Fusion Framework Toward Unified EEG Foundation Models
[
OpenReview]
Poster
None
D-ARL: A Distribution-Matched Asynchronous Reinforcement Learning Framework for Language Reasoning
[
OpenReview]
Poster
None
LERD: Latent Event-Relational Dynamics for Neurodegenerative Classification
[
OpenReview]
Poster
None
Rectifying Gradient Trajectories: A Hierarchical Geometric Framework with Structural Constraints for Few-Shot EEG Adaptation
[
OpenReview]
Poster
None
StructMamPose: From Sequential Perception to Structural Reasoning for 3D Human Pose Estimation
[
OpenReview]
Poster
None
The ACE Protocol: Operationalizing Language Model Activations for Better Calibration and Utility
[
OpenReview]
Poster
None
ASRU: Activation Steering Meets Reinforcement Unlearning for Multimodal Large Language Models
[
OpenReview]
Poster
None
Spiral RoPE: Rotate Your Rotary Positional Embeddings in the 2D Plane
[
Poster]
[
OpenReview]
Poster
None
Opt-Verifier: Unleashing the Power of LLMs for Optimization Modeling via Dual-Side Verification
[
OpenReview]
Poster
None
Beyond Global Alignment: Fine-Grained Motion-Language Retrieval via Pyramidal Shapley-Taylor Learning
[
OpenReview]
Poster
None
Dream-MPC: Gradient-Based Model Predictive Control with Latent Imagination
[
Slides]
[
Poster]
[
OpenReview]
Poster
None
Influence-Guided Symbolic Regression: Scientific Discovery via LLM-Driven Equation Search with Granular Feedback
[
OpenReview]
Poster
None
Chain-of-Goals Hierarchical Policy for Long-Horizon Offline Goal-Conditioned RL
[
OpenReview]
Poster
None
IO-Adam: Rethinking Memory-Efficient Adaptive Optimizers from Gradient Computation
[
OpenReview]
Poster
None
Position: The AI Imperative: Scaling High-Quality Peer Review in Machine Learning
[
OpenReview]
Poster
None
Designing Observation and Action Models for Efficient Reinforcement Learning with LLMs
[
OpenReview]
Poster
None
FedHPro: Federated Hyper-Prototype Learning via Gradient Matching
[
Slides]
[
OpenReview]
Poster
None
SDiD:Shared diffusion prior for efficient distributed stereo image compression
[
OpenReview]
Poster
None
When Replanning Becomes the Bottleneck: Budgeted Replanning for Embodied Agents
[
OpenReview]
Poster
None
Scam2Prompt: A Scalable Framework for Auditing Malicious Scam Endpoints in Production LLMs
[
OpenReview]
Poster
None
Seeing Realism from Simulation: Efficient Video Transfer for Vision-Language-Action Data Augmentation
[
OpenReview]
Poster
None
DGS-Net: Distillation-Guided Gradient Surgery for CLIP Fine-Tuning in AI-Generated Image Detection
[
OpenReview]
Poster
None
Mitigating Surgical Data Imbalance with Dual-Prediction Video Diffusion Model
[
OpenReview]
Poster
None
Emergence of Exploration in Policy Gradient Reinforcement Learning via Retrying
[
OpenReview]
Poster
None
LAMP: Data-Efficient Linear Affine Weight-Space Models for Parameter-Controlled 3D Shape Generation and Extrapolation
[
OpenReview]
Poster
None
Vegas: Self-Speculative Decoding with Verification-Guided Sparse Attention
[
OpenReview]
Poster
None
MFCL Audio: An Audio Function Calling Evaluation for Large Language Models
[
OpenReview]
Poster
None
From Parameters to Data: A Task-Parameter-Guided Fine-Tuning Pipeline for Efficient LLM Alignment
[
OpenReview]
Poster
None
A Bayesian Approach to Quantify the Uncertainty of Human Ratings in a Single-Instance Multimodal Framework
[
OpenReview]
Poster
None
3DGS-HPC: Distractor-free 3D Gaussian Splatting with Hybrid Patch-wise Classification
[
OpenReview]
Poster
None
Bootstrapped Exploration with Causal Reasoning: A Training Paradigm for Adaptive Forecasting Agent
[
OpenReview]
Poster
None
MME-Reasoning: A Broad-Spectrum Benchmark for Evaluating Logical Reasoning in MLLMs
[
OpenReview]
Poster
None
CAMP: Coherent Alignment of Multimodal Prototypes for Explainable Complementary Learning
[
OpenReview]
Poster
None
From Human Labels to Literature: Semi-Supervised Learning of NMR Chemical Shifts at Scale
[
OpenReview]
Poster
None
(Doubly) Exponential Lower Bounds for Follow the Regularized Leader in Potential Games
[
OpenReview]
Poster
None
TransNormal: Dense Visual Semantics for Diffusion-based Transparent Object Normal Estimation
[
OpenReview]
Poster
None
PortraitRL: Reinforcement Learning for Personalized Portrait Pose Transfer with Multi-Objective Reward Modeling
[
OpenReview]
Poster
None
The Trojan Knowledge: Bypassing Commercial LLM Guardrails via Harmless Prompt Weaving and Adaptive Tree Search
[
OpenReview]
Poster
None
Linguistic Properties and Model Scale in Brain Encoding: From Small to Compressed Language Models
[
OpenReview]
Poster
None
Scalable and Differentiable Point-Cloud Registration Using Maximum Mean Discrepancy
[
OpenReview]
Poster
None
Revealing Behavioral Plasticity in Large Language Models: A Token-Conditional Perspective
[
OpenReview]
Poster
None
Beyond Attention Imbalance: Mitigating Hallucinations via Spectral Surgery
[
Poster]
[
OpenReview]
Poster
None
Training-Free Sparse Attention for Fast Video Generation via Offline Layer-Wise Sparsity Profiling and Online Bidirectional Co-Clustering
[
OpenReview]
Poster
None
Pair2Scene: Learning Local Object Relations for Procedural Scene Generation
[
Poster]
[
OpenReview]
Poster
None
ConceptMoE: Adaptive Token-to-Concept Compression for Implicit Compute Allocation
[
OpenReview]
Poster
None
Gradient Regularization Prevents Reward Hacking in Reinforcement Learning from Human Feedback and Verifiable Rewards
[
OpenReview]
Poster
None
AdaNav: Adaptive Reasoning with Uncertainty for Vision-Language Navigation
[
OpenReview]
Poster
None
AdaEraser: Training-Free Object Removal via Adaptive Attention Suppression
[
Slides]
[
Poster]
[
OpenReview]
Poster
None
Position: The Open Benchmark Paradox Must Be Resolved through Sovereign Medical Evaluation
[
OpenReview]
Poster
None
EARL: Towards a Unified Analysis-Guided Reinforcement Learning Framework for Egocentric Interaction Reasoning and Pixel Grounding
[
Poster]
[
OpenReview]
Poster
None
FLAG: Foundation model representation with Latent diffusion Alignment via Graph for spatial gene expression prediction
[
OpenReview]
Poster
None
Universality, Function Composition, and Algorithm Emulation All In-Context
[
OpenReview]
Poster
None
What Makes a Strong Model? A Unified Spectral Analysis of Knowledge Transfer over High-dimensional Linear Regression
[
OpenReview]
Poster
None
When Random Saliency Looks Trained: Architectural Center Bias in CNN Interpretability
[
OpenReview]
Poster
None
RouteFinder: Towards Foundation Models for Vehicle Routing Problems
Poster
None
Contextualized Visual Personalization in Vision-Language Models
[
Slides]
[
Poster]
[
OpenReview]
Poster
None
ScaLoRA: Optimally Scaled Low-Rank Adaptation for Efficient High-Rank Fine-Tuning
[
OpenReview]
Poster
None
Position: AI/ML Deepfake Research is Misaligned with AI Generated Non-Consensual Intimate Imagery (AIG-NCII)
[
OpenReview]
Poster
None
PRISM: Synergizing Vision Foundation Models via Self-organized Expert Specialization
[
OpenReview]
Poster
None
The Cost of Information: Phase Transitions in Contextual Bandits with Paid Observations
[
OpenReview]
Poster
None
SPARKLING: Balancing Signal Preservation and Symmetry Breaking for Width-Progressive Learning
[
OpenReview]
Poster
None
MM-Snowball: Evaluating and Mitigating Hallucination Snowballing in Multimodal Multi-turn Dialogue
[
OpenReview]
Poster
None
PADD: Path-Aligned Decompression Distillation for Non-Router Teacher to Guide MoE Student Learning
[
OpenReview]
Poster
None
$R^3$DAO: Reactive Recovery and Reconstruction for Long-horizon Data Agent Orchestration
[
Poster]
[
OpenReview]
Poster
None
HieraMAS: Optimizing Intra-Node LLM Mixtures and Inter-Node Topology for Multi-Agent Systems
[
OpenReview]
Poster
None
Speedup Patch: Learning a Plug-and-Play Policy to Accelerate Embodied Manipulation
[
OpenReview]
Poster
None
Towards Practical World Model-based Reinforcement Learning for Vision-Language-Action Models
[
OpenReview]
Poster
None
GHOST: Unmasking Phantom States in Mamba2 via Grouped Hidden-state Output-aware Selection & Truncation
[
Poster]
[
OpenReview]
Poster
None
FedLog: Personalized Federated Classification with Less Communication and More Flexibility
Poster
None
Three Years of r/ChatGPT: Societal Impact Evaluations from Social Media Data
[
OpenReview]
Poster
None
MoLF: Mixture-of-Latent-Flow for Pan-Cancer Spatial Gene Expression Prediction from Histology
[
OpenReview]
Poster
None
Hard Labels In! Rethinking the Role of Hard Labels in Mitigating Local Semantic Drift
[
OpenReview]
Poster
None
Learning What to Generate: A Reinforcement Learning-based Closed-Loop Augmentation Framework for Person Re-identification
[
OpenReview]
Poster
None
Proteus: Lookup-Free Trellis-Coded Quantization by Lattice-Breaking Compute Codes for 2-Bit LLMs
[
OpenReview]
Poster
None
Not All Rollouts are Useful: Down-Sampling Rollouts in LLM Reinforcement Learning
Poster
None
Latent Thoughts Tuning: Bridging Context and Reasoning with Fused Information in Latent Tokens
[
OpenReview]
Poster
None
Efficient and Unbiased Sampling from Boltzmann Distributions via Variance-Tuned Diffusion Models
Poster
None
Verbalized Sampling: How to Mitigate Mode Collapse and Unlock LLM Diversity
[
OpenReview]
Poster
None
$\texttt{PRISM}$:A 3D Probabilistic Neural Representation for Interpretable Shape Modeling
[
OpenReview]
Poster
None
Rotation-Invariant Spherical Watermarking via Third-Order SO(3) Representation Coupling
[
OpenReview]
Poster
None
Dissecting Embodied Abilities in Multimodal Language Models through Skill-level Evaluation and Diagnosis
[
OpenReview]
Poster
None
TSRBench: A Comprehensive Multi-task Multi-modal Time Series Reasoning Benchmark for Generalist Models
[
OpenReview]
Poster
None
How Does the Lagrangian Guide Safe Reinforcement Learning through Diffusion Models?
[
OpenReview]
Poster
None
Adaptively Grouped Contextual Bandits for Heterogeneous Human-AI Decision Making with Conformal Prediction Sets
[
OpenReview]
Poster
None
Demystifying MaskGIT Sampler and Beyond: Adaptive Order Selection in Masked Diffusion
Poster
None
How Reasoning Evolves from Post-Training Data: An Empirical Study Using Chess
[
OpenReview]
Poster
None
SynerMedGen: Synergizing Medical Multimodal Understanding with Generation via Task Alignment
[
OpenReview]
Poster
None
Linear-Core Surrogates: Smooth Loss Functions with Linear Rates for Classification and Structured Prediction
[
OpenReview]
Poster
None
Probabilistic Modeling of Latent Agentic Substructures in Deep Neural Networks
[
OpenReview]
Poster
None
Riemannian Generative Decoder
Poster
None
DRIFT: Decoupled Rollouts and Importance-Weighted Fine-Tuning for Efficient Multi-Turn Optimization
[
OpenReview]
Poster
None
TileQ: Efficient Low-Rank Quantization of Mixture-of-Experts with 2D Tiling
[
OpenReview]
Poster
None
Correcting Split Selection in Online Decision Trees via Anytime-Valid Inference
[
OpenReview]
Poster
None
AutoRPA: Efficient GUI Automation through LLM-Driven Code Synthesis from Interactions
[
OpenReview]
Poster
None
Designing a Conditional Prior Distribution for Flow-Based Generative Models
Poster
None
A Decision-Theoretic View of Test-Time Training: When, How Far, and Which Directions to Adapt
[
OpenReview]
Poster
None
ContrastiveCFG: Guiding Diffusion Sampling by Contrasting Positive and Negative Concepts
[
OpenReview]
Poster
None
Learning Reward Functions from Multiple Feedback Types with Amortized Variational Inference
[
OpenReview]
Poster
None
Uncovering the Gradient Geometry of Long CoT: A Spectral-guided Approach to Reasoning Distillation
[
OpenReview]
Poster
None
DB-KSVD: Scalable Alternating Optimization for Disentangling High-Dimensional Embedding Spaces
[
OpenReview]
Poster
None
Preserving Expert-Level Privacy in Offline Reinforcement Learning
Poster
None
Posterior Sampling Reinforcement Learning with Gaussian Processes for Continuous Control: Sublinear Regret Bounds for Unbounded State Spaces
[
OpenReview]
Poster
None
WeDLM: Reconciling Diffusion Language Models with Standard Causal Attention for Fast Inference
[
OpenReview]
Poster
None
HiMe: Hierarchical Embodied Memory for Long-Horizon Vision-Language-Action Control
[
OpenReview]
Poster
None
VAnim: Rendering-Aware Sparse State Modeling for Structure-Preserving Vector Animation
[
OpenReview]
Poster
None
Learning to Move Before Learning to Do: Task-Agnostic pretraining for VLAs
[
OpenReview]
Poster
None
Bayesian Rain Field Reconstruction using Commercial Microwave Links and Diffusion Model Priors
[
OpenReview]
Poster
None
BESPOKE: Benchmark for Search-Augmented Large Language Model Personalization via Diagnostic Feedback
[
OpenReview]
Poster
None
MoFO: Momentum-Filtered Optimizer for Mitigating Forgetting in LLM Fine-Tuning
Poster
None
An Exploration of Non-Euclidean Gradient Descent: Muon and its Many Variants
[
OpenReview]
Poster
None
BLISS: A Lightweight Bilevel Influence Scoring Method for Data Selection in Language Model Pretraining
[
OpenReview]
Poster
None
Controllable and explainable personality sliders for LLMs at inference time
[
Poster]
[
OpenReview]
Poster
None
KernelCraft: Benchmarking for Agentic Close-to-Metal Kernel Generation on Emerging Hardware
[
OpenReview]
Poster
None
ZipMoE: Efficient On-Device MoE Serving via Lossless Compression and Cache-Affinity Scheduling
[
OpenReview]
Poster
None
Cross-Modal Semantic Decoupling and Transfer for Text-to-Visible-Infrared Person Re-Identification
[
OpenReview]
Poster
None
RQ-MoE: Residual Quantization via Mixture of Experts for Efficient Input-Dependent Vector Compression
[
OpenReview]
Poster
None
Towards Realistic Lifelong Re-identification: Identity Recurrence with Changing Clothes
[
OpenReview]
Poster
None
EnterpriseOps-Gym: Environments and Evaluations for Stateful Agentic Planning and Tool Use in Enterprise Settings
[
OpenReview]
Poster
None
Shift-Dependent Asymmetry: Orthogonal Inverse Low-Rank Adaptation for Federated Medical Segmentation
[
OpenReview]
Poster
None
scDataset: Scalable Data Loading for Deep Learning on Large-Scale Single-Cell Omics
[
OpenReview]
Poster
None
SPHERE: Mitigating the Loss of Spectral Plasticity in Mixture-of-Experts for Deep Reinforcement Learning
[
Slides]
[
Poster]
[
OpenReview]
Poster
None
KORE: Enhancing Knowledge Injection for Large Multimodal Models via Knowledge-Oriented Controls
[
Poster]
[
OpenReview]
Poster
None
ASAP: Exploiting the Satisficing Generalization Edge in Neural Combinatorial Optimization
[
OpenReview]
Poster
None
Next-Gen CAPTCHAs: Leveraging the Cognitive Gap for Scalable and Diverse GUI-Agent Defense
[
OpenReview]
Poster
None
Entropy-aware Span-Constrained Optimal Transport for Robust Cross-Tokenizer Knowledge Distillation
[
OpenReview]
Poster
None
MaMi-HOI: Harmonizing Global Kinematics and Local Geometry for Human-Object Interaction Generation
[
OpenReview]
Poster
None
The Shadow Price of Reasoning: Economic Perspective on Optimal Budget Allocation for LLMs
[
OpenReview]
Poster
None
Evaluating Contextual Illegality: AI Compliance in Corporate Law Scenarios
[
OpenReview]
Poster
None
ProOPF: Benchmarking and Improving LLMs for Professional-Grade Power Systems Optimization Modeling
[
OpenReview]
Poster
None
High-Dimensional Sensitivity Analysis for Genomic Studies: An Adversarial Framework for Learning Worst-Case Latent Confounders
[
OpenReview]
Poster
None
Beyond Test-Time Training: Learning to Reason via Hardware-Efficient Optimal Control
[
OpenReview]
Poster
None
Principled RL for Flow Matching Emerges From the Chunk-level Policy Optimization
[
OpenReview]
Poster
None
SIGMA-PPG: Statistical-prior Informed Generative Masking Architecture for PPG Foundation Model
[
OpenReview]
Poster
None
Temporal Score Rescaling for Temperature Sampling in Diffusion and Flow Models
[
OpenReview]
Poster
None
The Expressive Power of Low Precision Softmax Transformers with (Summarized) Chain-of-Thought
[
OpenReview]
Poster
None
ClimateAR: Multi-Scale Autoregressive Generative Modeling for Seasonal-to-Interannual Climate Forecasting
[
OpenReview]
Poster
None
Coordinated Disentanglement with Iterative Mode Discovery Under Hidden Correlations
[
OpenReview]
Poster
None
Recursive Binding on a Budget: Subspace Carving in Order-$p$ Tensor Memories
[
OpenReview]
Poster
None
Ranking Free RAG: Replacing Re-ranking with Selection in RAG for Sensitive Domains
[
OpenReview]
Poster
None
Breaking Dual Bottlenecks: Evolving Unified Multimodal Models into Self-Adaptive Interleaved Visual Reasoners
[
OpenReview]
Poster
None
Prediction-Powered Risk Monitoring of Deployed Models for Detecting Harmful Distribution Shifts
[
OpenReview]
Poster
None
TVI-CoT: Text-Visual Interleaved Chain-of-Thought Reasoning for Multimodal Understanding
[
OpenReview]
Poster
None
NNiT: Width-Agnostic Neural Network Generation with Structurally Aligned Weight Spaces
[
OpenReview]
Poster
None
Goal-Oriented Lower-Tail Calibration of Gaussian Processes for Bayesian Optimization
[
OpenReview]
Poster
None
Jailbreak to Protect: Buffering Harmful Fine-Tuning via Temporary Jailbreaking LoRA in Large Language Models
[
OpenReview]
Poster
None
Capturing Gaze Shifts for Guidance: Cross-Modal Fusion Enhancement for VLM Hallucination Mitigation
[
OpenReview]
Poster
None
Identifiable Nonlinear Differentiable Causal Discovery via Independence and Adaptive Group Sparsity
[
OpenReview]
Poster
None
Words Towards Explainability: Caption Label-Free Learning via Dual Loop Agentic Time Series Captioning
[
OpenReview]
Poster
None
SparseInfer: Accelerating Large Language Model Inference with Semantics-Inspired Adaptive Sparse Activation
[
OpenReview]
Poster
None
LLM-Guided Communication for Cooperative Multi-Agent Reinforcement Learning
[
OpenReview]
Poster
None
Gradient-Free Approaches is a Key to an Efficient Interaction with Markovian Stochasticity
[
OpenReview]
Poster
None
KANFIS: A Neuro-Symbolic Framework for Interpretable and Uncertainty-Aware Learning
[
OpenReview]
Poster
None
QHyer: Q-conditioned Hybrid Attention-mamba Transformer for Offline Goal-conditioned RL
[
OpenReview]
Poster
None
PINE: Pruning Boosted Tree Ensembles with Conformal In-Distribution Prediction Equivalence
[
OpenReview]
Poster
None
Stein Diffusion Guidance: Training-Free Posterior Correction for Sampling Beyond High-Density Regions
[
OpenReview]
Poster
None
Rate or Fate? RLV$^{\varepsilon}$R: Reinforcement Learning with Verifiable Noisy Rewards
[
OpenReview]
Poster
None
LoRA-DA: Data-Aware Initialization for Low-Rank Adaptation via Asymptotic Analysis
[
OpenReview]
Poster
None
Dynamic Optimizations of LLM Ensembles with Two-Stage Reinforcement Learning Agents
[
OpenReview]
Poster
None
Understanding Transfer Learning of RNA Foundation Models on Downstream Tasks
[
OpenReview]
Poster
None
Disease-Centric Vision-Language Pretraining with Hybrid Visual Encoding for 3D Computed Tomography
[
OpenReview]
Poster
None
On the Adversarial Robustness of Large Vision-Language Models under Visual Token Compression
[
OpenReview]
Poster
None
Posterior Mismatch Matters: Adversarial Training for Long-Tailed Robustness
[
OpenReview]
Poster
None
Interaction-Breaking Adversarial Learning Framework for Robust Multi-Agent Reinforcement Learning
[
OpenReview]
Poster
None
Mitigating Hallucinations in Large Vision-Language Models via Causal Route Gating
[
OpenReview]
Poster
None
CrossQ: Task-Aligned Cross-Token Conditional Quantization for Late Interaction Retrieval
[
OpenReview]
Poster
None
Parameter Decorrelation via Transition-Variance Alignment for Multivariate Time-series Forecasting
[
OpenReview]
Poster
None
MADA-Attack: Transferable Multi-modal Attention Distraction Adversarial Attack against Vision Language Models
[
OpenReview]
Poster
None
AutoWebWorld: Synthesizing Infinite Verifiable Web Environments via Finite State Machines
[
OpenReview]
Poster
None
Data Difficulty and the Generalization–Extrapolation Tradeoff in LLM Fine-Tuning
[
OpenReview]
Poster
None
FOCUS: Forcing In-Context Object Localization through Visual Support Constraints and Policy Optimization
[
OpenReview]
Poster
None
Exploring Accurate and Transparent Domain Adaptation in Predictive Healthcare via Concept-Grounded Orthogonal Inference
[
OpenReview]
Poster
None
Learning Taxonomic Trees with Hierarchical Representation Regularization for Large Multimodal Models
[
OpenReview]
Poster
None
Flow Matching Calibration for Simulation-Based Inference under Model Misspecification
[
OpenReview]
Poster
None
CARD: Coarse-to-fine Autoregressive Modeling with Radix-based Decomposition for Transferable Free Energy Estimation
[
OpenReview]
Poster
None
SFedPO: Streaming Federated Learning with a Prediction Oracle under Temporal Shifts
[
OpenReview]
Poster
None
CausalXRL: Explainable Reinforcement Learning through Causal Graph Reasoning
[
OpenReview]
Poster
None
TreeCUA: Efficiently Scaling GUI Automation with Tree-Structured Verifiable Evolution
[
OpenReview]
Poster
None
Is Graph Mixup Beneficial? Investigating Interpolation And Empirical Performance of Graph Mixup Methods
[
OpenReview]
Poster
None
IPMark: A Sentence-Level Watermark for LLMs with Hierarchical Personalization and Efficient Detection
[
OpenReview]
Poster
None
PPI Candidate Ranking: Large-Scale Evaluation of a Domain Knowledge–Guided Pipeline
[
OpenReview]
Poster
None
SURGE:Unbiased Data Assimilation for Diffusion Model via Particle Filtering
[
OpenReview]
Poster
None
Principled Synthetic Data Enables the First Scaling Laws for LLMs in Recommendation
[
OpenReview]
Poster
None
Parameter-Masked Decoupled Optimization for Cross-Domain Class-Incremental Learning
[
OpenReview]
Poster
None
ALAS: Additive Learnable Alpha-Stable Kernels for Flexible Bayesian Optimization
[
OpenReview]
Poster
None
Watermarking Graph Neural Networks via Explanations for Ownership Protection
[
OpenReview]
Poster
None
Variational inference via Gaussian interacting particles in the Bures-Wasserstein geometry
[
OpenReview]
Poster
None
CURE: Consistency-under-Unified Semantic Regularization for Generalized Category Discovery
[
Poster]
[
OpenReview]
Poster
None
Solver-in-the-Loop: MDP-Based Benchmarks for Self-Correction and Behavioral Rationality in Operations Research
[
OpenReview]
Poster
None
Mobility-Embedded POIs: Learning What A Place Is and How It Is Used from Human Movement
[
OpenReview]
Poster
None
PVDepth: Panoramic Video Depth Estimation via Geometry-Aware Spatiotemporal Adaptation
[
OpenReview]
Poster
None
VLM-RobustBench: A Comprehensive Benchmark for Robustness of Vision-Language Models
[
OpenReview]
Poster
None
Geometry-Aware Decoding with Wasserstein-Regularized Truncation and Mass Penalties for Large Language Models
[
OpenReview]
Poster
None
Near-Optimal Dynamic Matching via Coarsening with Application to Heart Transplantation
[
OpenReview]
Poster
None
Real-World Unsupervised Models Generalize to Predict Brain Responses to Out-of-Distribution Stimuli
[
OpenReview]
Poster
None
Structured Progressive Knowledge Activation for LLM-Driven Neural Architecture Search
[
Poster]
[
OpenReview]
Poster
None
ProMeCD: Unifying Long-Tailed and Noisy Label Learning via White-Box Control
[
OpenReview]
Poster
None
MiniMax Learning of Interpretable Factored Stochastic Policies from Conjoint Data, with Uncertainty Quantification
[
OpenReview]
Poster
None
Unifying and Optimizing Data Values for Selection via Sequential Decision-Making
[
OpenReview]
Poster
None
LightningRL: Breaking the Accuracy–Parallelism Trade-off of Block-wise dLLMs via Reinforcement Learning
[
OpenReview]
Poster
None
Characterizing Vision-Language-Action Models across XPUs: Constraints and Acceleration for On-Robot Deployment
[
OpenReview]
Poster
None
A geometric relation of the error introduced by sampling a language model's output distribution to its internal state
[
OpenReview]
Poster
None
Belief Propagation Converges to Gaussian Distributions in Sparsely-Connected Factor Graphs
[
OpenReview]
Poster
None
VideoLoom: A Video Large Language Model for Joint Spatial-Temporal Understanding
[
OpenReview]
Poster
None
KITE: Knowledge-Guided Probabilistic Modeling for Time Series Forecasting with Exogenous Variables
[
OpenReview]
Poster
None
EquiCAD: A Geometric Equivariant Neural Network for 3D Shape Classification
[
OpenReview]
Poster
None
StructMAR: Structure-Aware Masked Autoregression for Explicit Layout Alignment in Text-to-Image Generation
[
OpenReview]
Poster
None
Intra-Modal Neighbors Never Lie: Rectifying Inter-Modal Noisy Correspondence via Graph-Based Intra-Modal Reasoning
[
OpenReview]
Poster
None
Bridging Tokens and Geometry: Token-wise 3D Supervision for CAD Generation
[
OpenReview]
Poster
None
SPLIT-VLM: Salience-Guided Partitioning towards Local Coverage for Importance-Aware Token Dropping in Vision-Language Models
[
OpenReview]
Poster
None
CocoRNA: Collective RNA Design with Cooperative Multi-agent Reinforcement Learning
[
OpenReview]
Poster
None
PATRA: Pattern-Aware Alignment and Balanced Reasoning for Time Series Question Answering
[
OpenReview]
Poster
None
Simple Algorithms for Bad Triangle Transversals with Applications to Correlation Clustering
[
OpenReview]
Poster
None
Multi-task Linear Regression without Eigenvalue Lower Bounds: Adaptivity, Robustness and Safety
[
OpenReview]
Poster
None
Beyond Softmax: A Natural Parameterization for Categorical Random Variables
[
OpenReview]
Poster
None
Gradient Descent with Large Step Size Restores Symmetry in Deep Linear Networks with Multi-Pathway
[
OpenReview]
Poster
None
From Bits to Rounds: Parallel Decoding with Exploration for Diffusion Language Models
[
OpenReview]
Poster
None
Geometric Conformal Prediction with Spatial Ranks and Multivariate Quantiles
[
OpenReview]
Poster
None
UMEM: Unified Memory Extraction and Management Framework for Generalizable Memory
[
OpenReview]
Poster
None
From Similarity to Vulnerability: Key Collision Attack on LLM Semantic Caching
[
OpenReview]
Poster
None
Over-Alignment vs Over-Fitting: The Role of Feature Learning Strength in Generalization
[
OpenReview]
Poster
None
Structure Abstraction and Generalization in a Hippocampus-Entorhinal Inspired World Model
[
OpenReview]
Poster
None
Formal Concept Lattices are Good Semantic Scaffolds for Concept-Based Learning
[
OpenReview]
Poster
None
Calibrated Knowledge Aggregation in Bayesian Mixture-of-Experts for Continual VQA
[
OpenReview]
Poster
None
RDT2: Exploring the Scaling Limit of UMI Data Towards Zero-Shot Cross-Embodiment Generalization
[
OpenReview]
Poster
None
Detached Skip-Links and $R$-Probe: Decoupling Feature Aggregation from Gradient Propagation for MLLM OCR
[
OpenReview]
Poster
None
Towards Pareto-Optimal Tool-Integrated Agents with Pareto Ranking Policy Optimization
[
OpenReview]
Poster
None
Spherical Steering: Geometry-Aware Activation Rotation for Language Models
[
OpenReview]
Poster
None
Correcting in Hindsight: Editing Past Key-Value States for Robust LLM Reasoning
[
OpenReview]
Poster
None
Scaling Real-World Robot Policy Evaluation via Discrete Diffusion World Model
[
OpenReview]
Poster
None
AG-REPA: Causal Layer Selection for Representation Alignment in Audio Flow Matching
[
OpenReview]
Poster
None
LiveNewsBench: Evaluating LLM Web Search Capabilities with Freshly Curated News
[
OpenReview]
Poster
None
Directly Optimizing Natural Language Explanations for Behavioral Faithfulness: Simulatability and Recoverability
[
OpenReview]
Poster
None
Judgment Operators: A Composition-Invariant Substrate for Multi-Agent Action Spaces
[
OpenReview]
Poster
None
RTInfer: Exploiting Concurrency for Multiple Real-Time DNN Inference on Edge GPUs
[
OpenReview]
Poster
None
Data-driven Mixed Integer Optimization through Probabilistic Multi-variable Branching
[
OpenReview]
Poster
None
Reading the Cell, Designing the Cure: Perturbation-Conditioned Molecular Diffusion for Function-Oriented Drug Design
[
Poster]
[
OpenReview]
Poster
None
POLIA: Policy Optimization with Visual-Object-Level Intrinsic Advantage for Multimodal Reasoning
[
OpenReview]
Poster
None
ASIR: Steganography for Diffusion Models via Antipodal Sampling and Iterative Recovery
[
OpenReview]
Poster
None
Optimal Anytime Algorithms for Online Convex Optimization with Adversarial Constraints
[
OpenReview]
Poster
None
What Really Improves Mathematical Reasoning: Structured Reasoning Signals Beyond Pure Code
[
OpenReview]
Poster
None
Quantum Robust Inner Minimization for Reinforcement Learning with Quadratic Speed-Up in Query Complexity
[
OpenReview]
Poster
None
RulePlanner: All-in-One Reinforcement Learner for Unifying Design Rules in 3D Floorplanning
[
OpenReview]
Poster
None
Fix the Mind, Not the Move: Interpretable AI Assistance via Knowledge-Gap Localization
[
OpenReview]
Poster
None
INDEXGUARD: Index-only Backdoor Vetting for Secure Federated PEFT of Large Language Models
[
OpenReview]
Poster
None
Variance-Reduced $(\varepsilon, \delta)-$Unlearning using Forget Set Gradients
[
OpenReview]
Poster
None
Theory of Minimal Weight Perturbations in Deep Networks and its Applications for Low-Rank Activated Backdoor Attacks
[
OpenReview]
Poster
None
TSFAdv: Frequency-Guided Black-Box Adversarial Attacks on Time Series Forecasting
[
OpenReview]
Poster
None
Adaptive Estimation and Inference in Semi-parametric Heterogeneous Clustered Multitask Learning via Neyman Orthogonality
[
OpenReview]
Poster
None
Partitioning for Intrinsic Model Inversion Resistance in Collaborative Inference
[
Poster]
[
OpenReview]
Poster
None
Biologically plausible heavy-tailed connectivity enhances generalizations on cognitive tasks in recurrent neural networks
[
OpenReview]
Poster
None
MIMO-LP: A Multi-Input Multi-Output Framework for Subgraph-based Link Prediction
[
OpenReview]
Poster
None
Rethinking Time-Series Imputation as Conditional Inference along Temporal Evolution
[
Slides]
[
OpenReview]
Poster
None
Balancing Learning Rates Across Layers: Exact Two-Step Dynamics and Optimal Scaling in Linear Neural Networks
[
OpenReview]
Poster
None
MoshiRAG: Asynchronous Knowledge Retrieval for Full-Duplex Speech Language Models
[
OpenReview]
Poster
None
DECO: Decoupled Multimodal Diffusion Transformer for Bimanual Dexterous Manipulation with a Plugin Tactile Adapter
[
OpenReview]
Poster
None
Which Reasoning Traces Are Worth Generating Further? Data Curation for Training Reasoning Models
[
OpenReview]
Poster
None
Just Y-Prediction: Enabling Historical Cumulative Inconsistency in Label Diffusion for Learning with Noisy Label
[
OpenReview]
Poster
None
CSPO: Constraint-Sensitive Policy Optimization for Safe Reinforcement Learning
[
OpenReview]
Poster
None
GraphFlow: A Graph-Based Workflow Management for Efficient LLM-Agent Serving
[
OpenReview]
Poster
None
Bias-Spectrum Neural Processes for Parametric PDEs: Architecture Priors Meet PDE Constraints
[
OpenReview]
Poster
None
Language Generation in the Limit: Complexity Barriers and Implications for Learning
[
OpenReview]
Poster
None
Unleashing Implicit Rewards: Prefix-Value Learning for Distribution-Level Optimization
[
OpenReview]
Poster
None
SARSteer: Safeguarding Large Audio Language Models via Safe-Ablated Refusal Steering
[
OpenReview]
Poster
None
Beyond Log Likelihood: Probability-Based Objectives for Supervised Fine-Tuning across the Model Capability Continuum
[
OpenReview]
Poster
None
Rethinking KV Cache Eviction via a Unified Information-Theoretic Objective
[
OpenReview]
Poster
None
SMART: Scalable Mesh‑free Aerodynamic Simulations from Raw Geometries using a Transformer‑based Surrogate Model
[
OpenReview]
Poster
None
AC-ODM: Actor–Critic Online Data Mixing for Sample-Efficient LLM Pretraining
[
OpenReview]
Poster
None
AutoSizer: Automatic Sizing of Analog and Mixed-Signal Circuits via Large Language Model (LLM) Agents
[
OpenReview]
Poster
None
Learn to Think: Improving Multimodal Reasoning through Vision-Aware Self-Improvement Training
[
OpenReview]
Poster
None
Model-Dowser: Data-Free Importance Probing to Mitigate Catastrophic Forgetting in Multimodal Large Language Models
[
OpenReview]
Poster
None
PipeSD: An Efficient Cloud-Edge Collaborative Pipeline Inference Framework with Speculative Decoding
[
OpenReview]
Poster
None
On the Generalization in Topology Optimization via Sensitivity-Conditioned Bernoulli Flow Matching
[
OpenReview]
Poster
None
Less Is More in Federated Continual Learning: RieSelect for Conflict-Aware Layer Selection in LLMs
[
OpenReview]
Poster
None
Optimal Classical and Quantum Algorithms for Gradient Testing and Estimation by Comparisons
[
OpenReview]
Poster
None
Directional Neural Collapse for Self-Supervised Visual Representation Learning
[
OpenReview]
Poster
None
Broadening the Backdoor Basin: Understanding LLM Backdoors Collapse and Making Backdoors Persistent
[
OpenReview]
Poster
None
Efficiently Solving Discounted MDPs via Predictions with Unknown Prediction Errors
[
OpenReview]
Poster
None
Learning to Approximate Uniform Facility Location via Graph Neural Networks
[
OpenReview]
Poster
None
SceneDirector: Bridging Explicit Geometry and Generative Priors for Unified Driving Scene Editing
[
OpenReview]
Poster
None
FOCA: Future-Oriented Conditioning for Data-Efficient Vision-Language-Action Adaptation
[
OpenReview]
Poster
None
WinDeskGround: A Benchmark for Robust GUI Grounding in Complex Multi-Window Desktop Environments
[
OpenReview]
Poster
None
AdverMCTS: Combating Pseudo-Correctness in Code Generation via Adversarial Monte Carlo Tree Search
[
OpenReview]
Poster
None
Generative Modeling of Discrete Latent Structures via Dynamic Policy Gradients
[
OpenReview]
Poster
None
The Tell-Tale Norm: $\ell_2$ Magnitude as a Signal for Reasoning Dynamics in Large Language Models
[
OpenReview]
Poster
None
UnMaskFork: Test-Time Scaling for Masked Diffusion via Deterministic Action Branching
[
OpenReview]
Poster
None
Position: Responsible AI for AI companions must actively combat violence toward intimate partners
[
OpenReview]
Poster
None
Position: Verifiable Data Minimization is a Prerequisite for Responsible, Privacy-Preserving Industrial Vision
[
OpenReview]
Poster
None
Position: Interestingness is an Inductive Heuristic for Future Compression Progress
[
OpenReview]
Poster
None
Position: Breaking the Dual Curse of Multilingual AI Requires Socio-Technical Guardrails, Not Post-Hoc Alignment
[
OpenReview]
Poster
None
Position: Multiplicity is an Inevitable and Inherent Challenge in Multimodal Learning
[
OpenReview]
Poster
None
Position: When AI Decides Who Gets an Organ: Multi-Agentic AI Systems in Transplant Medicine Risk Amplifying Disparities Without Targeted Explainability and Deployment Strategies
[
OpenReview]
Poster
None
Position: Every Ground Truth is a Human Construction, not an Objective Truth
[
OpenReview]
Poster
None
Position: Stop Using Culturally Biased Human Cognitive Benchmarks to Evaluate LLMs
[
OpenReview]
Poster
None
PMSPO: Progressive Matching and Semantic-Aware Policy Optimization for Camouflaged Object Detection
[
OpenReview]
Poster
None
Position: Time-Series Foundation Models Require Explicit Domain-Level Benchmarks
[
OpenReview]
Poster
None
Position: Reframing Hallucination: Latent Space Geodesics as a Pathway for Generative Discovery
[
OpenReview]
Poster
None
Position: Predicting AI’s Impact on Labor Is a Core Machine Learning Problem
[
OpenReview]
Poster
None
Position: AI Leaderboards Are Underserving the Global South: A Case Study from India
[
OpenReview]
Poster
None
Position: Retire the "Positive Backdoor" Label—Secret Alignment Requires Strict and Systematic Evaluation
[
OpenReview]
Poster
None
Position: RL Researchers Need to Distinguish Between Solving Simulators and Using Simulators as a Proxy
[
OpenReview]
Poster
None
Position: Generative Engine Optimization Creates Underexamined Risks, Governance Must Target Concentration, Disclosure, and Academic Blind Spots
[
OpenReview]
Poster
None
Position: Early-Stage Quality Assurance in Annotation Pipelines Is More Cost-Effective Than Late-Stage Validation
[
OpenReview]
Poster
None
Position: Machine Learning for Heart Transplant Allocation Policy Optimization Should Account for Incentives
[
OpenReview]
Poster
None
Position: Metaphysical Concepts in AI Should Be Judged by Their Consequences
[
OpenReview]
Poster
None
Position: Deciphering the Functions of DNAs, RNAs, and Proteins Should Consider Multi-Modal Large Language Models
[
OpenReview]
Poster
None
Optimal and Scalable MAPF via Multi-Marginal Optimal Transport and Schrödinger Bridges
[
OpenReview]
Poster
None
AOEPT: Breaking the Implicit Modality-Reduction Bottleneck in Modality Missing Prompt Tuning
[
OpenReview]
Poster
None
Non-Parametric Probabilistic Robustness: A Conservative Risk Estimator under Unknown Perturbation Distributions
[
OpenReview]
Poster
None
Gradient-Aware Scheduling: Coupling Curriculum and Staleness for Async Reinforcement Learning
[
OpenReview]
Poster
None
The surprising strength of weak classifiers for validating neural posterior estimates
[
OpenReview]
Poster
None
Improved Scaling Laws via Weak-to-Strong Generalization in Random Features Ridge Regression
[
OpenReview]
Poster
None
(Sparse) Attention to the Details: Preserving Spectral Fidelity in ML-based Weather Forecasting Models
[
OpenReview]
Poster
None
Does AI Reviewer See the Full Picture? Attacking and Defending Multimodal Peer Review
[
OpenReview]
Poster
None
Accuracy and Normalized Accuracy under Length Bias: Analysis, Guidelines, and a Bayesian Alternative
[
OpenReview]
Poster
None
Probing the Inductive Bias of Neural Networks through Learning Random Cellular Automata
[
OpenReview]
Poster
None
Unlocking Speech–Text Compositional Powers: Instruction-Following Speech Language Models without Instruction Tuning
[
OpenReview]
Poster
None
When Embedding-Based Defenses Fail: Rethinking Safety in LLM-Based Multi-Agent Systems
[
OpenReview]
Poster
None
Local Redundancy: An Information-Theoretic Measure of Plasticity from Synthetic Memorization
[
OpenReview]
Poster
None
Stratified GRPO: Handling Structural Heterogeneity in Reinforcement Learning of LLM Search Agents
[
OpenReview]
Poster
None
RapTB: Rooted Absorbed Trajectory Balance with Submodular Replay for Stable Autoregressive GFlowNet Training
[
OpenReview]
Poster
None
A Factorized Low-Rank RNN Framework for Uncovering Independent Neural Latent Dynamics and Connectivity
[
OpenReview]
Poster
None
A Critical Look at Targeted Instruction Selection: Disentangling What Matters (and What Doesn’t)
[
OpenReview]
Poster
None
From Prior to Pro: Efficient Skill Mastering via Distribution Contractive RL Finetuning
[
OpenReview]
Poster
None
Betting on Equilibrium: Monitoring Strategic Behavior in Multi-Agent Systems
[
OpenReview]
Poster
None
Vulnerable Agent Identification in Large-Scale Multi-Agent Reinforcement Learning
[
OpenReview]
Poster
None
Stochastic Gradient Methods under Heavy-Tailed Noises in Weakly Convex Optimization
[
OpenReview]
Poster
None
PGT: Procedurally Generated Tasks for improving fine-grained understanding in MLLMs
[
OpenReview]
Poster
None
One LR Doesn’t Fit All: Heavy-Tail Guided Layerwise Learning Rates for LLMs
[
OpenReview]
Poster
None
Estimation of Treatment Effects Under Nonstationarity via the Truncated Policy Gradient Estimator
[
OpenReview]
Poster
None
Generalization Bounds for Discrete Diffusion: Statistical Advantage of Masking
[
OpenReview]
Poster
None
A Close Look at Negative Label Guided Out-of-distribution Detection in Pre-trained Vision-Language Models
[
OpenReview]
Poster
None
Negative Sampling From the Ground Up: A Redesign for Graph-based Recommendations
[
OpenReview]
Poster
None
Turbo Connection: Reasoning as Information Flow from Higher to Lower Layers
[
OpenReview]
Poster
None
Scaling Generative Verifiers For Natural Language Mathematical Proof Verification And Selection
[
OpenReview]
Poster
None
From Prompts to Tokens: Internalizing Causal Supervision in Vision-Language Model for Multi-Image Causal Reasoning
[
OpenReview]
Poster
None
Long-Context Modeling with Dynamic Hierarchical Sparse Attention for Memory-Constrained LLM Inference
[
OpenReview]
Poster
None
LOCA-bench: Benchmarking Language Agents Under Controllable and Extreme Context Growth
[
OpenReview]
Poster
None
Asymmetric Prompt Weighting for Reinforcement Learning with Verifiable Rewards
[
OpenReview]
Poster
None
CoPE: A Framework for Optimizing Coordination between Planning and Execution in LLM-based Agents
[
OpenReview]
Poster
None
Geometric Convergence of Gauss–Newton for Neural Networks: Riemannian Geometry and Adaptive Damping
[
OpenReview]
Poster
None
PnP-Corrector: A Universal Correction Framework for Coupled Spatiotemporal Forecasting
[
OpenReview]
Poster
None
XSpecMesh: Quality-Preserving Auto-Regressive Mesh Generation Acceleration via Multi-Head Speculative Decoding
[
OpenReview]
Poster
None
COPF: An Online Framework for Deployment-Stable Counterfactual Fairness in Evolving Graphs
[
OpenReview]
Poster
None
The Convergent Representation of Vision-Language Contrastive Learning: Geometry, Modality Gap and Shared Space Alignment
[
OpenReview]
Poster
None
StepCodeReasoner: Aligning Code Reasoning with Stepwise Execution Traces via Reinforcement Learning
[
OpenReview]
Poster
None
Security–Fidelity Tradeoffs: No Universal Defense Against Prompt Injection
[
OpenReview]
Poster
None
Unveiling Multi-regime Patterns in SciML: Distinct Failure Modes and Regime-specific Optimization
[
OpenReview]
Poster
None
Position: Quantum Kernel Machines Should Move Beyond Scalar-Valued Kernels to Realize Their Potential
[
OpenReview]
Poster
None
TokenSwap: Backdoor Attack on the Compositional Understanding of Large Vision-Language Models
[
OpenReview]
Poster
None
Error Propagation in Dynamic Programming: From Stochastic Control to American Option Pricing
[
OpenReview]
Poster
None
HGMem: Hypergraph-based Working Memory to Improve Multi-step RAG for Long-Context Complex Relational Modeling
[
OpenReview]
Poster
None
Learning High-Frequency Continuous Action Chunks in Latent Space
[
Slides]
[
Poster]
[
OpenReview]
Poster
None
SEPS: Semantic-Enhanced Patch Slimming Framework for Fine-Grained Cross-Modal Alignment
[
OpenReview]
Poster
None
EDCO: Dynamic Curriculum Orchestration for Domain-specific Large Language Model Fine-tuning
[
OpenReview]
Poster
None
ReLAM: Learning Anticipation Model for Rewarding Visual Robotic Manipulation
[
OpenReview]
Poster
None
Accelerated Multiple Wasserstein Gradient Flows for Multi-objective Distributional Optimization
[
OpenReview]
Poster
None
Frequency-Aware Perceptual Optimization for Low-Complexity Implicit Image Compression
[
OpenReview]
Poster
None
Lottery Prior: Randomized Neural Compression for Zero-Shot Inverse Problems
[
OpenReview]
Poster
None
SMILE: Extended Deep Submodular Function-Based Instruction and In-context Learning Demonstration Selection
[
OpenReview]
Poster
None
Incorporating Importance Weighting in Optimal Transport Based Domain Alignment
[
OpenReview]
Poster
None
SPARC: Separating Perception And Reasoning Circuits for Test-time Scaling of VLMs
[
OpenReview]
Poster
None
Chiral Symmetry Breaking in Transformers: A Group-Equivariant Framework for Solving the Reversal Curse via Adjoint Manifold Mappings
[
OpenReview]
Poster
None
FIPN: Forward Self-Organizing Interpretable Polynomial Networks for Time Series Forecasting
[
OpenReview]
Poster
None
See More, Forecast Better and Faster: Enhancing Time Series Foundation Models via Inference-Time Plug-and-Play Downsampling
[
OpenReview]
Poster
None
LoKiFormer: Locality-aware Attention with Decoupled Knowledge Memory for Efficient Large Language Model Pretraining
[
OpenReview]
Poster
None
Accelerated and Stable Convergence with Anchored Generalized Optimistic Method
[
OpenReview]
Poster
None
A Statistical Framework for Analyzing Specification Resistance to Learnware-Inversion Risks
[
OpenReview]
Poster
None
GFedCL: Graph-Based Federated Continual Learning with Spatial and Temporal Awareness
[
OpenReview]
Poster
None
Multimodal Latent Language Modeling with Next-Token Diffusion
[
Slides]
[
Poster]
[
OpenReview]
Poster
None
Benchmarking the Scientific Mind: Toward Evaluation of Complex-Reasoning Biomedical VQA
[
OpenReview]
Poster
None
When Iteration Helps and Hurts in Self-Training: Denoising vs. Signal Forgetting
[
OpenReview]
Poster
None
Learning in the Fisher Subspace: A Guided Initialization for LoRA Fine-Tuning
[
OpenReview]
Poster
None
Prompt Reinjection: Alleviating Prompt Forgetting in Multimodal Diffusion Transformers
[
OpenReview]
Poster
None
Non-Uniform Noise-to-Signal Ratio in the REINFORCE Policy-Gradient Estimator
[
OpenReview]
Poster
None
Problem Distributions as Tasks: Repurposing Meta Learning for Generative Combinatorial Optimization towards Multi-task Pretrain and Adaptation
[
OpenReview]
Poster
None
Learning Protein Structure-Function Relationships through Knowledge-guided Representation Decomposition
[
OpenReview]
Poster
None
Seeing Symbols, Missing Structure: A Real-World Handwritten Mathematical Expression Recognition Benchmark for Large Models
[
OpenReview]
Poster
None
CamGeo: Sparse Camera-Conditioned Image-to-Video Generation with 3D Geometry Priors
[
OpenReview]
Poster
None
INFER: Learning Implicit Neural Frequency Response Fields for Confined Acoustic Environments
[
OpenReview]
Poster
None
Learning High-Dimensional Parity Functions with Product Networks using Gradient Descent
[
OpenReview]
Poster
None
Turning Stale Gradients into Stable Gradients: Coherent Coordinate Descent with Implicit Landscape Smoothing for Lightweight Zeroth-Order Optimization
[
OpenReview]
Poster
None
GePBench: Evaluating Fundamental Geometric Perception for Multimodal Large Language Models
[
OpenReview]
Poster
None
Censoring with Plausible Deniability: Asymmetric Local Privacy for Multi-Category CDF Estimation
[
OpenReview]
Poster
None
Detecting Contextual Hallucinations in Large Language Models with Frequency-Aware Attention
[
OpenReview]
Poster
None
Linear Ensembles Wash Away Watermarks: On the Fragility of Distributional Perturbations in LLMs
[
OpenReview]
Poster
None
HybridFlow: Resource-Adaptive Subtask Routing for Efficient Edge-Cloud LLM Inference
[
OpenReview]
Poster
None
Last-iterate Convergence of ADMM on Multi-affine Quadratic Equality Constrained Problem
[
OpenReview]
Poster
None
Softmax as Linear Attention in the Large-Prompt Regime: a Measure-based Perspective
[
OpenReview]
Poster
None
MobileFusion: Mobile-Friendly Infrared and Visible Image Fusion via Structural Re-parameterization
[
OpenReview]
Poster
None
SafeHarbor: Defining Precise Decision Boundaries via Hierarchical Memory-Augmented Guardrail for LLM Agent Safety
[
OpenReview]
Poster
None
Linguistic Nepotism: Trading-off Quality for Language Preference in Multilingual RAG
[
OpenReview]
Poster
None
When Distance Distracts: Representation Distance Bias in BT-Loss for Reward Models
[
OpenReview]
Poster
None
LazyAttention: Efficient Retrieval-Augmented Generation with Deferred Positional Encoding
[
OpenReview]
Poster
None
Policy Search via Bayesian Optimization with Temporal Difference Gaussian Processes
[
OpenReview]
Poster
None
Protein Design with Agent Rosetta: A Case Study for Specialized Scientific Agents
[
OpenReview]
Poster
None
Attacking Gray-Box Large Vision-Language Models with Adaptive SVD-Structured Adversarial Alignment
[
OpenReview]
Poster
None
Constrained Flow Optimization via Sequential Fine-Tuning for Molecular Design
[
OpenReview]
Poster
None
FlowPET: Physics-Informed Symplectic Flow Matching for Low-Count PET Reconstruction
[
OpenReview]
Poster
None
One Coin Has Two Sides: Single Poistive Multi Label Learning from Salient Annotations
[
OpenReview]
Poster
None
Accurate Evaluation of Quickest Changepoint Detectors via Non-parametric Survival Analysis
[
OpenReview]
Poster
None
STARE: Step-wise Temporal Alignment and Red-teaming Engine for Multi-modal Toxicity Attack
[
OpenReview]
Poster
None
Unlearning Isn't Deletion: Investigating Reversibility of Machine Unlearning in LLMs
[
OpenReview]
Poster
None
Dynamic Fractal Mamba: A Neural Renormalization Group Flow for Scale-Invariant Sequence Modeling
[
OpenReview]
Poster
None
Polyphonia: Training-Free Context-Aware Music Editing with Acoustic-Informed Attention Calibration
[
OpenReview]
Poster
None
Towards Generalizable EEG-to-fMRI Synthesis via a Unified, Context-Aware Prompting Framework
[
OpenReview]
Poster
None
Toward Ultra-Long-Horizon Agentic Science: Cognitive Accumulation for Autonomous Machine Learning Engineering
[
OpenReview]
Poster
None
WS-GRPO: Weakly-Supervised Group-Relative Policy Optimization for Rollout-Efficient Reasoning
[
OpenReview]
Poster
None
Thinking in Scales: Accelerating Gigapixel Pathology Image Analysis via Adaptive Continuous Reasoning
[
OpenReview]
Poster
None
Learn from A Rationalist: Distilling Intermediate Interpretable Rationales
[
OpenReview]
Poster
None
Probing RLVR Training Instability through the Lens of Objective-Level Hacking
[
OpenReview]
Poster
None
Amortized Variational Inference for Partial-Label Learning: A Probabilistic Approach to Label Disambiguation
[
OpenReview]
Poster
None
TadABench-1M: A Large-Scale Wet-Lab Protein Benchmark For Rigorous OOD Evaluation
[
OpenReview]
Poster
None
The Geometry of Sequential Learning: Lie-Bracket Prediction of Transfer Order
[
OpenReview]
Poster
None
FIRE: Multi-fidelity Regression with Distribution-conditioned In-context Learning using Tabular Foundation Models
[
OpenReview]
Poster
None
Envisioning Beyond the Few: Disentangled Semantics and Primitives for Few-Shot Atypical Layout-to-Image Generation
[
OpenReview]
Poster
None
Instruction Decomposition and Action Alignment for Vision-Language Navigation
[
OpenReview]
Poster
None
SONAR: Spectral‑Contrastive Audio Residuals for Generalizable Deepfake Detection
[
OpenReview]
Poster
None
Can LLM Agents Stick to the Script? Modeling Commitment in Interactive Narratives
[
OpenReview]
Poster
None
PULSE: Generative Phase Evolution for Non-Stationary Time Series Forecasting
[
OpenReview]
Poster
None
Teaching Molecular Dynamics to a Non-Autoregressive Ionic Transport Predictor
[
OpenReview]
Poster
None
Adaptive Testing for LLM Evaluation: A Psychometric Alternative to Static Benchmarks
[
OpenReview]
Poster
None
StitchCUDA: An Automated Multi-Agents End-to-End GPU Programing Framework with Rubric-based Agentic Reinforcement Learning
[
OpenReview]
Poster
None
TopoDistill: Distilling Global System Topology for Causal Discovery in Multivariate Time Series
[
OpenReview]
Poster
None
Verifiable Multimodal Reasoning: Fact-level Attribution with Multimodal Sources
[
OpenReview]
Poster
None
Bridging the Grounding Gap in VideoQA via Typed Memory for Language-based Belief-State Reasoning
[
OpenReview]
Poster
None
The Hippocampal Place Field Gradient: A Bio-inspired Framework Building Multiscale Representation for Better Sample Efficiency
[
OpenReview]
Poster
None
Counterfactual Occlusion-Aware Learning via Visibility Intervention for LiDAR Anomaly Detection
[
OpenReview]
Poster
None
Gecko: A Simulation Environment with Stateful Feedback for Refining Agent Tool Calls
[
OpenReview]
Poster
None
An analytic theory of convolutional neural network inverse problems solvers
[
OpenReview]
Poster
None
Learning Transferable Interaction Primitives from Game Videos for Humanoids
[
OpenReview]
Poster
None
GRAPE: Let GRPO Supervise Query Rewriting by Ranking for Retrieval
[
Poster]
[
OpenReview]
Poster
None
VideoTrace-R1: Long Video-based Retrieval-Augmented Generation via Temporal Path Graph Understanding
[
OpenReview]
Poster
None
Persistent Backdoor Attacks in Class-Incremental Learning via Structural Invariant Anchoring
[
OpenReview]
Poster
None
Row-stochastic matrices can provably outperform doubly stochastic matrices in decentralized learning
[
OpenReview]
Poster
None
DREAM: A Unified Framework for Drift-Corrected Federated Multi-Objective Learning
[
OpenReview]
Poster
None
Convex Basins in Single-Index Model Loss Landscapes: Applications to Robust Recovery under Strong Adversarial Corruption
[
OpenReview]
Poster
None
IEC: When Information-Driven Exploration Meets Spectral Consensus via Primal–Dual Reward Regularization in Decentralized Multi-Agent RL
[
OpenReview]
Poster
None
HE-SNR: Uncovering Latent Logic via Entropy for Guiding Mid-Training on SWE-bench
[
OpenReview]
Poster
None
Dropout Universality: Scaling Laws and Optimal Scheduling at the Edge-of-Chaos
[
OpenReview]
Poster
None
Steering Beyond the Support: Adversarial Training on Unsupervised Jailbroken Activation Simulation
[
OpenReview]
Poster
None
MFH-NAS:A Hybrid Neural Architecture Search Framework for Multimodal Fusion Object Detection
[
OpenReview]
Poster
None
E-mem: Multi-Agent Based Episodic Context Reconstruction for LLM Agent Memory
[
OpenReview]
Poster
None
Around the World in Eighty Ratings? Quantifying the Salience of Geo-Cultural Values for Pluralistic Alignment
[
OpenReview]
Poster
None
Unleashing the Representational Power of Fourier Shapes for Attacking Infrared Object Detection
[
OpenReview]
Poster
None
RESIDUAL-GUIDED MULTI-RESOLUTION REFINEMENT OF FOUNDATION MODELS - A CASE STUDY IN DROUGHT FORECASTING
[
OpenReview]
Poster
None
Prototype Transformer: Towards Language Model Architectures Interpretable by Design
[
OpenReview]
Poster
None
GHOST: Geometry-Guided Hallucination of Opaque Surface Textures
[
Slides]
[
Poster]
[
OpenReview]
Poster
None
Epistemic Uncertainty Quantification for Pre-trained VLMs via Riemannian Flow Matching
[
OpenReview]
Poster
None
ViSurf: Visual Supervised-and-Reinforcement Fine-Tuning for Large Vision-and-Language Models
[
Slides]
[
Poster]
[
OpenReview]
Poster
None
Rethinking GNNs and Missing Features: Challenges, Evaluation and a Robust Solution
[
OpenReview]
Poster
None
Imposing Boundary Conditions on Neural Operators via Learned Function Extensions
[
OpenReview]
Poster
None
UniFast-HGR: Scalable and Efficient Maximal Correlation for Multimodal Models
[
OpenReview]
Poster
None
Clover: Accurate LLM Pre-Training in NVFP4 by Improved Unbiased Gradient Estimation
[
OpenReview]
Poster
None
Normalization Equivariance for Arbitrary Backbones, with Application to Image Denoising
[
OpenReview]
Poster
None
SpatioLM: Towards General Physical Spatial Intelligence in Vision-Language Models
[
OpenReview]
Poster
None
Shared Semantics, Divergent Mechanisms: Unsupervised Feature Discovery by Aligning Semantics and Mechanisms
[
OpenReview]
Poster
None
UrbanFusion: Stochastic Multimodal Fusion for Contrastive Learning of Robust Spatial Representations
[
OpenReview]
Poster
None
CONGA:Confidence-and-Gradient-Aware Learning Rate Schedule for Test Time Adaptation
[
OpenReview]
Poster
None
From Interactions to Principles: Experience-Driven Self-Distillation for Evolving LLM Agents
[
OpenReview]
Poster
None
Joint-Embedding Predictive Learning of Latent Market States in U.S. Equities
[
OpenReview]
Poster
None
SEMIR: Semantic Minor-Induced Representation Learning on Graphs for Visual Segmentation
[
Poster]
[
OpenReview]
Poster
None
Sparse Tokens Suffice: Jailbreaking Audio Language Models via Token-Aware Gradient Optimization
[
OpenReview]
Poster
None
Expert-guided Clinical Text Augmentation via Query-Based Model Collaboration
[
OpenReview]
Poster
None
From Content to Knowledge: Lightning Fast Long-Video Understanding with Neural Knowledge Representations
[
OpenReview]
Poster
None
GPan-LoRA: Gaussian Process Amortized Networks for Bayesian Low-Rank Adaptation in Large Language Models
[
OpenReview]
Poster
None
Demystifying LLM-as-a-Judge: Analytically Tractable Model for Inference-Time Scaling
[
OpenReview]
Poster
None
IACW: Intent-Aware Controllable Watermarking for Scalable Authorial Intent Attribution
[
OpenReview]
Poster
None
IdEst: Assessing Self-Supervised Learning Representations via Intrinsic Dimension
[
OpenReview]
Poster
None
ScenePilot: Controllable Boundary-Driven Critical Scenario Generation for Autonomous Driving
[
OpenReview]
Poster
None
GAM-RAG: Gain-Adaptive Memory for Evolving Retrieval in Retrieval-Augmented Generation
[
OpenReview]
Poster
None
Search for Truth from Reasoning: A Dynamic Representation Editing Framework for Steering LLM Trajectories
[
OpenReview]
Poster
None
Maximizing the Spectral Energy Gain in Sub-1-Bit LLMs via Latent Geometry Alignment
[
OpenReview]
Poster
None
S$^3$GNN: Efficient Global Mixing and Local Message Passing for Long-Range Graph Learning
[
OpenReview]
Poster
None
Unlearning in Diffusion Models: A Unified Framework with KL Divergence and Likelihood Constraints
[
OpenReview]
Poster
None
Beyond Model Base Retrieval: Weaving Knowledge to Master Fine-grained Neural Network Design
[
OpenReview]
Poster
None
Bayes-inspired Integration of Pretrained Priors and Few-Shot Evidence for Few-Shot Classification
[
OpenReview]
Poster
None
Strategy Executability in Mathematical Reasoning: Leveraging Human–Model Differences for Effective Guidance
[
OpenReview]
Poster
None
Large-Scale Notification Dispatch with Bundle Treatments and Multi-Outcome Uplift Optimization
[
OpenReview]
Poster
None
WF-Bench: A Benchmark for Neural-Network WaveFunction Expressivity and Scaling Laws
[
OpenReview]
Poster
None
Variational Speculative Decoding: Rethinking Draft Training from Token Likelihood to Sequence Acceptance
[
Poster]
[
OpenReview]
Poster
None
$\mathbb{R}^{2k}$ is Theoretically Large Enough for Embedding-based Top-$k$ Retrieval
[
OpenReview]
Poster
None
Temper-Then-Tilt: Principled Unlearning for Generative Models through Tempering and Classifier Guidance
[
OpenReview]
Poster
None
Agent JIT Compilation for Latency-Optimizing Computer-Use Agent Planning and Scheduling
[
OpenReview]
Poster
None
Partial Fusion of Neural Networks: Efficient Tradeoffs Between Ensembles and Weight Aggregation
[
OpenReview]
Poster
None
FutureOmni: Evaluating Future Forecasting from Omni-Modal Context for Multimodal LLMs
[
OpenReview]
Poster
None
GenDA: Generative Data Assimilation on Complex Urban Areas via Classifier-Free Diffusion Guidance
[
OpenReview]
Poster
None
Trust Functions: Near Lossless Weak-to-Strong Generalization by Learning to Trust the Weak Teacher
[
OpenReview]
Poster
None
Tailoring the Training: Difficulty-Aware Learning Strategy Allocation for Large Language Models
[
OpenReview]
Poster
None
Variable-Length Tokenization via Learnable Global Merging for Diffusion Transformers
[
OpenReview]
Poster
None
1-Bit Wonder: Improving QAT Performance in the Low-Bit Regime through K-Means Quantization
[
OpenReview]
Poster
None
Reward-Preserving Counterfactual State Editing for Offline Reinforcement Learning
[
OpenReview]
Poster
None
Reasoning as an Attack Surface: Adaptive Evolutionary CoT Jailbreaks for LLMs
[
OpenReview]
Poster
None
Understanding Generalization and Forgetting in In-Context Continual Learning
[
OpenReview]
Poster
None
ERAlign: Energy-based Representation Alignment of GNNs and LLMs on Text-attributed Graphs
[
OpenReview]
Poster
None
ProtoVAR: Efficient Dataset Distillation via Prototype-Guided Visual Autoregressive Modeling
[
OpenReview]
Poster
None
REALISTA: Realistic Latent Adversarial Attacks that Elicit LLM Hallucinations
[
OpenReview]
Poster
None
Focus-Then-Contact: Speeding Up Robotic Contact-Rich Task Learning with Affordance-Guided Real-World Residual Reinforcement Learning
[
OpenReview]
Poster
None
Improving Video Sparse Attention with Fine-grained Router and Sparse Rebasing
[
OpenReview]
Poster
None
Beyond Single-View Indexing: Structure-Aware Multi-View Retrieval for Knowledge-Based VQA
[
OpenReview]
Poster
None
Stochastic Gradient Variational Inference with Price's Gradient Estimator from Bures-Wasserstein to Parameter Space
[
OpenReview]
Poster
None
ERGeoBench: A Comprehensive Benchmark for Embodied Reasoning and Geo-localization in Multimodal Large Language Models
[
OpenReview]
Poster
None
Resolution as a Direction: Vector-Panning Feature Alignment for Cross-Resolution Re-Identification
[
OpenReview]
Poster
None
Curriculum Reinforcement Learning for Black-Box Prompt Tuning via Large Language Models
[
OpenReview]
Poster
None
ComplexMCP: Evaluation of LLM Agents in Dynamic, Interdependent, and Large-Scale Tool Sandbox
[
OpenReview]
Poster
None
Genome-Factory: A Library for Tuning, Deploying, and Interpreting Genomic Foundation Models
[
OpenReview]
Poster
None
Draft-and-Audit Reinforcement Learning for Optimization Modeling
[
Slides]
[
OpenReview]
Poster
None
Beyond Reactivity: Proactive Adaptive Conformal Inference for Online LLM Factuality
[
OpenReview]
Poster
None
CalPro: Prior-Aware Evidential Conformal Prediction with Structure-Aware Sensitivity Bounds for Protein Structures
[
OpenReview]
Poster
None
AutoVSR: Automatic Visual-to-Symbolic Reasoning for Symbolic Expression Generation from Circuit Schematic
[
OpenReview]
Poster
None
Variance Driven Exploration: A Provable and Efficient Methodology for Pure Exploration in Highly Stochastic Environments
[
OpenReview]
Poster
None
Heterogeneous Customizable Personalized Federated Fine-Tuning Approach for Large Language Models
[
OpenReview]
Poster
None
A Penalty Approach For Differentiation Through Black-box Quadratic Programming Solvers
[
OpenReview]
Poster
None
Restoring Exploration after Post-Training: Latent Exploration Decoding for Large Reasoning Models
[
OpenReview]
Poster
None
DiscoForcing: A Unified Framework for Real-Time Audio-Driven Character Control with Diffusion Forcing
[
OpenReview]
Poster
None
TACTIC: Task-Aware Sparse Coordination Graphs for Multi-Task Multi-agent Reinforcement Learning
[
OpenReview]
Poster
None
ClinTutor-R1: Advancing Scalable and Robust One-to-Many Alignment in Clinical Socratic Education
[
OpenReview]
Poster
None
VideoSEG-O3: A Multi-turn Reinforcement Learning Framework for Reasoning Video Object Segmentation
[
Poster]
[
OpenReview]
Poster
None
MPFM: Cross Multi-Domain Prototype Flow Matching for Log Anomaly Detection
[
OpenReview]
Poster
None
The Consistency Trap in LLMs: Generator-Evaluator Agreement and Vulnerability to Mistakes
[
OpenReview]
Poster
None
Position: Federated Learning is a Lens towards a Democratized Future for the Scaling Law Era
[
OpenReview]
Poster
None
Position: Benchmarks for Vision–Language Models in Urban Perception Should Be Reliability-Aware and Negotiated
[
OpenReview]
Poster
None
Position: Peer Review in ML/AI Conferences Should Separate Publication from Presentation and Offer Non-Anonymous Review Tracks
[
OpenReview]
Poster
None
Position: Irresponsible AI: big tech’s influence on AI research and associated impacts
[
OpenReview]
Poster
None
Position: ICML Should Treat Hosted LLM APIs as Versioned Dependencies and Require Drift-Audit Artifacts
[
OpenReview]
Poster
None
Position: Carbon Footprint Reporting Should Be Routine in Machine Learning Research
[
OpenReview]
Poster
None
Position: Creating High-Fidelity Synthetic Training Data Should Employ Multi-level Optimization
[
OpenReview]
Poster
None
Position: VLM Causal Reasoning Benchmarks Should Probe Temporal Understanding, Not Presume It
[
OpenReview]
Poster
None
Position: The Inevitable Transition to Machine Learning in Quantum Chemistry
[
OpenReview]
Poster
None
Position: Enabling Fair Revenue Sharing for Data Providers in GenAI Systems
[
OpenReview]
Poster
None
Position: Agent Evaluation Should Be Agentified for Openness, Standardization, and Reproducibility
[
OpenReview]
Poster
None
Position: Current XAI Methods Cannot Satisfy Financial AI Explainability Requirements
[
OpenReview]
Poster
None
Position: World Models as an Intermediary between Agents and the Real World
[
OpenReview]
Poster
None
Look on Demand: A Cognitive Scheduling Framework for Visual Evidence Acquisition in Multimodal Reasoning
[
OpenReview]
Poster
None
Backward Oversmoothing: why is it hard to train deep Graph Neural Networks?
[
OpenReview]
Poster
None
RLAnything: Forge Environment, Policy, and Reward Model in Completely Dynamic RL System
[
OpenReview]
Poster
None
What If We Let Forecasting Forget? A Sparse Bottleneck for Cross-Variable Dependencies
[
OpenReview]
Poster
None
Fantastic Reasoning Behaviors and Where to Find Them: Unsupervised Discovery of the Reasoning Process
[
OpenReview]
Poster
None
Lightweight and Interpretable Transformer via Unrolling of Mixed Graph Algorithms for Traffic Forecast
[
OpenReview]
Poster
None
Causal Identification from Counterfactual Data: Completeness and Bounding Results
[
OpenReview]
Poster
None
ProEval: Proactive Failure Discovery and Efficient Performance Estimation for Generative AI Evaluation
[
OpenReview]
Poster
None
Re-FORC: Adaptive Reward Prediction for Efficient Chain-of-Thought Reasoning
[
OpenReview]
Poster
None
On Minimum Depth and Width of Floating-Point Neural Networks for Representing Floating-Point Functions
[
OpenReview]
Poster
None
From Guessing to Placeholding: A Cost-Theoretic Framework for Uncertainty-Aware Code Completion
[
OpenReview]
Poster
None
Asymptotic Optimality of the High-Dimensional Gaussian Mechanism and Improved Low-Dimensional Mechanisms for Differential Privacy
[
OpenReview]
Poster
None
Alleviating Observation Bias via Causal-Invariant Meta-Learning for Unbalanced Incomplete Multi-view Clustering
[
OpenReview]
Poster
None
On the Convergence of Steepest Descent and Adaptive Gradient Methods under Non-Uniform Smoothness
[
OpenReview]
Poster
None
On the Sample Efficiency of Inverse Dynamics Models for Semi-Supervised Imitation Learning
[
OpenReview]
Poster
None
Fine-Tuning Without Forgetting In-Context Learning: A Theoretical Analysis of Linear Attention Models
[
OpenReview]
Poster
None
Success-Conditioning as Policy Improvement: The Optimization Problem Solved by Imitating Success
[
OpenReview]
Poster
None
Learning Adaptive Perturbation-Conditioned Contexts for Robust Transcriptional Response Prediction
[
OpenReview]
Poster
None
STAR-VAE: Structured Topology-Aware Regularization for Audio Reconstruction and Generation
[
OpenReview]
Poster
None
Breaking the Computational Barrier: Provably Efficient Actor–Critic for Low-Rank MDPs
[
OpenReview]
Poster
None
Proximal-IMH: Proximal Posterior Proposals for Independent Metropolis–Hastings with Approximate Operators
[
OpenReview]
Poster
None
Influence-Disentangled Federated Training: Learning Models That Are Easy to Unlearn
[
OpenReview]
Poster
None
RECTOR: Masked Region-Channel-Temporal Modeling for Affective and Cognitive Representation Learning
[
OpenReview]
Poster
None
Taming I2V models for Image HOI Editing: A Cognitive Benchmark and Agentic Self-Correcting Framework
[
OpenReview]
Poster
None
SurrogateSHAP: Training-Free Contributor Attribution for Text-to-Image (T2I) Models
[
OpenReview]
Poster
None
PlotCraft: Pushing the Limits of LLMs for Complex and Interactive Data Visualization
[
OpenReview]
Poster
None
Continuous Variable Hamiltonian Learning at Heisenberg Limit via Displacement-Random Unitary Transformation
[
OpenReview]
Poster
None
PGS: Effective LLM Code Refinement via Property-Oriented and Structurally Minimal Feedback
[
OpenReview]
Poster
None
SymSpectra: Symmetric Information Bottleneck Framework for Molecular Structure Recognition under Imbalanced Settings
[
OpenReview]
Poster
None
MiniX: Mitigating Low-Rank Collapse and Attention Bottlenecks in Tabular Foundation Models
[
OpenReview]
Poster
None
Unitary Convolutions for Message-passing and Positional Encodings on Directed Graphs
[
OpenReview]
Poster
None
SAQNN: Spectral Adaptive Quantum Neural Network as a Universal Approximator
[
OpenReview]
Poster
None
RN-D: Discretized Categorical Actors with Regularized Networks for On-Policy Reinforcement Learning
[
OpenReview]
Poster
None
Spectral Flow Matching: Stabilizing Stochastic GFlowNets via Frequency-Domain Regularization
[
OpenReview]
Poster
None
Hidden in Plain Tokens: Simply Robust, Gradient-Free Watermark for Synthetic Audio
[
OpenReview]
Poster
None
Geometry-Preserving Orthonormal Initialization for Low-Rank Adaptation in Reinforcement Learning
[
OpenReview]
Poster
None
X-EviProbe: Post-hoc Parameter-free Evidential Uncertainty Quantification for Frozen Graph Neural Networks
[
OpenReview]
Poster
None
Sponge Tool Attack: Stealthy Denial-of-Efficiency against Tool-Augmented Agentic Reasoning
[
OpenReview]
Poster
None
Can Adaptive Gradient Methods Converge under Heavy-Tailed Noise? A Case Study of AdaGrad
[
OpenReview]
Poster
None
Bring My Cup! Personalizing Vision-Language-Action Models with Visual Attentive Prompting
[
OpenReview]
Poster
None
CoCoEdit: Content-Consistent Image Editing via Region Regularized Reinforcement Learning
[
OpenReview]
Poster
None
Transformers Efficiently Perform In-Context Logistic Regression via Normalized Gradient Descent
[
OpenReview]
Poster
None
CCLRec: Consensus-driven Contrastive Learning for LLM-enhanced Graph Recommendation
[
OpenReview]
Poster
None
Scaling Inference-Time Computation via Opponent Simulation: Enabling Online Strategic Adaptation in Repeated Negotiation
[
OpenReview]
Poster
None
RL4RLA: Teaching ML to Discover Randomized Linear Algebra Algorithms through Curriculum Design and Graph-based Search
[
OpenReview]
Poster
None
PolicyGuard: Towards Test-time and Step-level Backdoor Defense for Reinforcement Learning Agent
[
OpenReview]
Poster
None
FUSE: Quantifying Uncertainty in Multimodal LLMs by Bayesian Fusing Epistemic and Aleatoric Uncertainty
[
OpenReview]
Poster
None
Neural–Evolutionary Symbolic Regression with Global Constraints: Constraint-Aware Decoding and Reward Shaping
[
OpenReview]
Poster
None
MINT: Minimal Information Neuro-Symbolic Tree for Objective-Driven Knowledge-Gap Reasoning and Active Elicitation
[
OpenReview]
Poster
None
When LLMs Develop Languages: Symbolic Communication for Efficient Multi-Agent Reasoning
[
OpenReview]
Poster
None
LORD-GoF: A Robust Online Detection Approach for LLM Watermarks in Sparse and Mixed Streams
[
OpenReview]
Poster
None
Causal-JEPA: Learning World Models through Object-Level Latent Interventions
[
OpenReview]
Poster
None
Cooperative variance estimation and Bayesian neural networks disentangle aleatoric and epistemic uncertainties
[
OpenReview]
Poster
None
Quantized Maximum Likelihood Estimation under Normal Mean-Variance Mixture Model
[
OpenReview]
Poster
None
SEAgent: Self-Evolving Computer Use Agent with Autonomous Learning from Experience
[
OpenReview]
Poster
None
UniSparse: Combining Weight Pruning and Spike Sparsification in Spiking Neural Networks
[
OpenReview]
Poster
None
Optimal Unconstrained Self-Distillation in Ridge Regression: Strict Improvements, Precise Asymptotics, and One-Shot Tuning
[
OpenReview]
Poster
None
Convergence of Two-Timescale Stochastic Approximation with Markovian Samples and Applications in Reinforcement Learning
[
OpenReview]
Poster
None
Hamiltonian Asymmetric Fusion: One-Way Safe Directed Refinement under Modality Imbalance
[
OpenReview]
Poster
None
Learn to change the world: Multi-level reinforcement learning with model-changing actions
[
OpenReview]
Poster
None
FOCUS & RePAIR: Mitigating Text Degeneration via Token-Level Guidance For Pruned Large Language Models
[
OpenReview]
Poster
None
Multipole Semantic Attention: A Fast Approximation of Softmax Attention for Pretraining
[
OpenReview]
Poster
None
Learning to Correct: Reinforcement Learning for Multi-Attempt Chain-of-Thought
[
OpenReview]
Poster
None
Vision-DeepResearch: Incentivizing DeepResearch Capability in Multimodal Large Language Models
[
OpenReview]
Poster
None
Markovian Projection of Star-Shaped Diffusion for Exponential Family Distributions
[
OpenReview]
Poster
None
Masked Multi-path Contrast with Confidence-Gated Semantic Imputation for Incomplete Multi-view Clustering
[
OpenReview]
Poster
None
Towards Foundation Models for Zero-Shot Time Series Anomaly Detection: Leveraging Synthetic Data and Relative Context Discrepancy
[
OpenReview]
Poster
None
AdLift: Lifting Adversarial Perturbations to Safeguard 3D Gaussian Splatting Assets Against Instruction-Driven Editing
[
Poster]
[
OpenReview]
Poster
None
MAnchors: Memorization-Based Acceleration of Anchors via Rule Reuse and Transformation
[
OpenReview]
Poster
None
Fractional is Better: Learnable Derivative Orders in Neural Operator Learning
[
OpenReview]
Poster
None
OBJVanish: Prompt-Driven Generation of Physically Realizable 3D LiDAR-Invisible Objects
[
OpenReview]
Poster
None
Structure-Aware Consistency Priors for Shape from Polarization in Complex Media
[
OpenReview]
Poster
None
One Model to Translate Them All: Universal Any-to-Any Translation for Heterogeneous Collaborative Perception
[
OpenReview]
Poster
None
DeltaEvolve: Accelerating Scientific Discovery through Momentum-Driven Evolution
[
OpenReview]
Poster
None
Evaluating the Representation Space of Diffusion Models via Self-Supervised Principles
[
OpenReview]
Poster
None
DRL-STAF: A DRL Framework for State-aware Forecasting of Complex Multivariate Hidden Markov Process
[
Poster]
[
OpenReview]
Poster
None
Enhancing Membership Inference Attacks on Diffusion Models from a Frequency-Domain Perspective
[
OpenReview]
Poster
None
API: Adaptive Prototype Imputation for Incomplete Multimodal Sentiment Analysis
[
OpenReview]
Poster
None
Bulk-Calibrated Credal Ambiguity Sets: Fast, Tractable Decision Making under Out-of-Sample Contamination
[
Poster]
[
OpenReview]
Poster
None
Rethinking Federated Prompt Learning for Medical Images: From Textual Tuning to Visual Manifold Anchoring
[
OpenReview]
Poster
None
The Geometry of Reasoning: Self-Evaluation via Layerwise Trajectory Evolution
[
OpenReview]
Poster
None
FedPissa: Towards Federated Personalized Adaptation of Foundation Models via LoRA Subspace Mapping
[
OpenReview]
Poster
None
Sparse Relaxed-Lasso Steering: Automatic Sparse-Autoencoder Feature Selection for Precise Image Editing
[
OpenReview]
Poster
None
Adversarial Reinforcement Learning for Robust Diffusion Large Language Model Unlearning
[
OpenReview]
Poster
None
DITRON: Distributed Multi-level Tiling Compiler for Parallel Tensor Programs
[
OpenReview]
Poster
None
When Benign Inputs Lead to Severe Harms: Eliciting Unsafe Unintended Behaviors of Computer-Use Agents
[
OpenReview]
Poster
None
On the existence of consistent adversarial attacks in high-dimensional linear classification
[
OpenReview]
Poster
None
DAISI: Data Assimilation with Inverse Sampling using Stochastic Interpolants
[
OpenReview]
Poster
None
Denoising without Diffusion: Fixed-Noise Denoiser Anomaly Detection in Tabular Data
[
OpenReview]
Poster
None
NAACA: Training-Free NeuroAuditory Attentive Cognitive Architecture with Oscillatory Working Memory for Salience-Driven Attention Gating
[
OpenReview]
Poster
None
Physiology-Aware Masked Cross-Modal Reconstruction for Biosignal Representation Learning
[
OpenReview]
Poster
None
A Benchmark and Framework for Evaluating Next Action Predictions in Spreadsheets
[
OpenReview]
Poster
None
Computationally-efficient Graph Modeling with Refined Graph Random Features
[
OpenReview]
Poster
None
LLawCo: Learning Laws of Cooperation for Modeling Embodied Multi-Agent Behavior
[
OpenReview]
Poster
None
Stream RAG: Instant and Accurate Spoken Dialogue Systems with Streaming Tool Usage
[
OpenReview]
Poster
None
BOCLOAK: Optimal Transport-Guided Adversarial Attacks on Graph Neural Network-Based Bot Detection
[
Poster]
[
OpenReview]
Poster
None
Long-Horizon Model-Based Offline Reinforcement Learning Without Conservatism
[
OpenReview]
Poster
None
Upper-Linearizability of Online Non-Monotone DR-Submodular Maximization over Down-Closed Convex Sets
[
OpenReview]
Poster
None
SCoA: Revisiting Domain Generalized Object Detection with Style-Conditioned Adaptation
[
OpenReview]
Poster
None
Approximation Bounds for Transformer Networks with Application to Regression
[
OpenReview]
Poster
None
Threat2Traffic: Multi-Agent Environment Synthesis for Malware Traffic Generation from Threat Intelligence
[
OpenReview]
Poster
None
Learning to Reconfigure: Co-designing Reconfigurable robots for Heterogeneous Locomotion
[
Poster]
[
OpenReview]
Poster
None
Hair-Trigger Alignment: Black-Box Evaluation Cannot Guarantee Post-Update Alignment
[
OpenReview]
Poster
None
Position: Improved Documentation is Necessary for Benchmarking AI Systems in Geometry
[
OpenReview]
Poster
None
A Stronger Benchmark for Online Bilateral Trade: From Fixed Prices to Distributions
[
OpenReview]
Poster
None
TN-SHAP-G: Graph-Structured Tensor Network Surrogates for Shapley Values and Interactions
[
OpenReview]
Poster
None
Symbolic Mixture-of-Experts: Adaptive Skill-based Routing for Heterogeneous Reasoning
[
OpenReview]
Poster
None
Acoustic Interference: A New Paradigm Weaponizing Acoustic Latent Semantic for Universal Jailbreak against Large Audio Language Models
[
OpenReview]
Poster
None
All ERMs Can Fail in Stochastic Convex Optimization Lower Bounds in Linear Dimension
[
OpenReview]
Poster
None
HEDP: A Hybrid Energy-Distance Prompt-based Framework for Domain Incremental Learning
[
OpenReview]
Poster
None
Beyond Confidence: Adaptive and Coherent Decoding for Diffusion Language Models
[
OpenReview]
Poster
None
PhoStream: Benchmarking Real-World Streaming for Omnimodal Assistants in Mobile Scenarios
[
Slides]
[
Poster]
[
OpenReview]
Poster
None
CurvZO: Adaptive Curvature-Guided Sparse Zeroth-Order Optimization for Efficient LLM Fine-Tuning
[
OpenReview]
Poster
None
ECHO: Elastic Speculative Decoding with Sparse Gating for High-Concurrency Scenarios
[
OpenReview]
Poster
None
Less Diverse, Less Safe: The Indirect But Pervasive Risk of Test-Time Scaling in Large Language Models
[
OpenReview]
Poster
None
All Circuits Lead to Rome: Rethinking Functional Anisotropy in Circuit and Sheaf Discovery for LLMs
[
OpenReview]
Poster
None
MAST: Motif-Augmented Diffusion with Search Tree for Spectroscopic Molecular Structure Elucidation
[
OpenReview]
Poster
None
Skip-It? Theoretical Conditions for Layer Skipping in Vision–Language Models
[
OpenReview]
Poster
None
ML-Agent: Reinforcing LLM Agents for Autonomous Machine Learning Engineering
[
OpenReview]
Poster
None
Action Manifold Smoothing: A Lipschitz Pathway Perspective on High-Dimensional Reinforcement Learning
[
Poster]
[
OpenReview]
Poster
None
LiME: Lightweight Mixture of Experts for Efficient Multimodal Multi-task Learning
[
OpenReview]
Poster
None
Dimensional Collapse in Transformer Attention Outputs: A Challenge for Sparse Dictionary Learning
[
OpenReview]
Poster
None
One-Step Graph-Structured Neural Flows for Irregular Multivariate Time Series Classification
[
OpenReview]
Poster
None
Dynamic TMoE: A Drift-Aware Dynamic Mixture of Experts Framework for Non-Stationary Time Series Forecasting
[
OpenReview]
Poster
None
Less Is More: Fast and Accurate Reasoning with Cross-Head Unified Sparse Attention
[
OpenReview]
Poster
None
Beyond Heuristics: Learnable Density Control for 3D Gaussian Splatting
[
Poster]
[
OpenReview]
Poster
None
Identifiable Markov Switching Models with Instantaneous Effects and Exponential Families
[
OpenReview]
Poster
None
From Muon to Gluon: Bridging Theory and Practice of LMO-based Optimizers for LLMs
[
OpenReview]
Poster
None
A Refined Generalization Analysis for Extreme Multi-class Supervised Contrastive Representation Learning
[
OpenReview]
Poster
None
Absorbing Quantization Error by Deformable Noise Scheduler for Diffusion Models
[
OpenReview]
Poster
None
How Few-Shot Examples Add Up: A Causal Decomposition of Function Vectors in In-Context Learning
[
OpenReview]
Poster
None
RECOVER:Reliable Detection of Unauthorized Data Usage in Text-to-Image Diffusion Models via Inversion Robustness
[
OpenReview]
Poster
None
The First Drop of Ink: Nonlinear Impact of Misleading Information in Long-Context Reasoning
[
OpenReview]
Poster
None
DFSAttn: Dynamic Fine-grained Sparse Attention for Efficient Video Generation
[
OpenReview]
Poster
None
The Geometric Origin of Grokking: Accelerating Generalization via Active Structural Reorganization
[
OpenReview]
Poster
None
Scalable and Interpretable Representation Alignment with Ordinal Similarity
[
OpenReview]
Poster
None
Transport or Discard: Robust Unbalanced Optimal Transport for Cross-Domain Policy Adaptation
[
OpenReview]
Poster
None
HyPER: Bridging Exploration and Exploitation for Scalable LLM Reasoning with Hypothesis Path Expansion and Reduction
[
Poster]
[
OpenReview]
Poster
None
Semantic Router: On the Feasibility of Hijacking MLLMs via a Single Adversarial Perturbation
[
OpenReview]
Poster
None
ReVSI: Rebuilding Visual Spatial Intelligence Evaluation for Accurate Assessment of VLM 3D Reasoning
[
OpenReview]
Poster
None
HIVE-3D: Hierarchical Voxel Enhancement for High-Quality 3D Scene Generation
[
OpenReview]
Poster
None
Spectral Reach: Understanding Neural Scaling through Kernel Alignment Dynamics
[
OpenReview]
Poster
None
Flow for Future: Geometric SE(3)-Equivariant Flow Matching for 3D Trajectory Prediction
[
OpenReview]
Poster
None
Efficient Test-time Inference for Generative Planning Models with OCL Search
[
OpenReview]
Poster
None
Practical and Scalable Hamiltonian Monte Carlo Without the Metropolis Test
[
OpenReview]
Poster
None
Graph-Preference Learning: Debiasing Network-Sampled Human Feedback for Target Welfare Estimation
[
OpenReview]
Poster
None
On the Salience of Low-Probability Tokens for AI-Generated Text Detection: A Multiscale Uncertainty Perspective
[
OpenReview]
Poster
None
Mitigating Reward Hacking in RLHF via Bayesian Non-negative Reward Modeling
[
OpenReview]
Poster
None
Knowing Bias, Doing Better: Mitigating Social Bias in LLMs via Know-Bias Neuron Enhancement
[
OpenReview]
Poster
None
Mixture of Distributions Matters: Dynamic Sparse Attention for Efficient Video Diffusion Transformers
[
OpenReview]
Poster
None
PuzzleMoE: Efficient Compression of Large Mixture-of-Experts Models via Sparse Expert Merging and Bit-packed inference
[
OpenReview]
Poster
None
Differentially Private Preference Data Synthesis for Large Language Model Alignment
[
OpenReview]
Poster
None
H$^2$CL: Heterogeneity-Aware Hypergraph Contrastive Learning for Robust Representation
[
OpenReview]
Poster
None
QuantumBoost: A lazy, yet fast, quantum algorithm for learning with weak hypotheses
[
OpenReview]
Poster
None
Where Concept Erasure Should Occur: Concept–Layer Alignment in Text-to-Video Diffusion Models
[
OpenReview]
Poster
None
EigenCache: Rethinking Diffusion Acceleration as Covariance-Optimal Forecasting and Submodular Information Allocation
[
OpenReview]
Poster
None
Cert-LAS: Toward Certified Model Ownership Verification for Text-to-Image Diffusion Models via Layer-Adaptive Smoothing
[
OpenReview]
Poster
None
PhysForge: Generating Physics-Grounded 3D Assets for Interactive Virtual World
[
OpenReview]
Poster
None
When Generalized Zero-Shot Learning Meets PU Learning: A Plug-and-Play Framework for Seen-Class Bias Mitigation
[
OpenReview]
Poster
None
See, Act, Adapt: Active Perception for Unsupervised Cross-Domain Visual Adaptation via Personalized VLM-Guided Agent
[
OpenReview]
Poster
None
Transformers Provably Learn Algorithmic Solutions for Graph Connectivity, But Only with the Right Data
[
OpenReview]
Poster
None
UHR-BAT: Budget-Aware Token Compression Vision-Language model for Ultra-High-Resolution Remote Sensing
[
OpenReview]
Poster
None
Respecting Modality Gap in Post-hoc Out-of-distribution Detection with Pre-trained Vision-Language Models
[
OpenReview]
Poster
None
BIOARC: Discovering Optimal Neural Architectures for Biological Foundation Models
[
OpenReview]
Poster
None
ProcMEM: Learning Reusable Procedural Memory from Experience via Non-Parametric PPO for LLM Agents
[
OpenReview]
Poster
None
Feature Resemblance: Towards a Theoretical Understanding of Analogical Reasoning in Transformers
[
OpenReview]
Poster
None
Marrying Generative Model of Healthcare Events with Digital Twin of Human-Environment Interaction for Disease Reasoning
[
OpenReview]
Poster
None
Beyond Drift: Stabilizing Subjective LLM Evaluation with Information-Theoretic Rubrics
[
OpenReview]
Poster
None
RepetitionCurse: Measuring and Understanding Router Imbalance in Mixture-of-Experts LLMs under DoS Stress
[
OpenReview]
Poster
None
Sparse Topology-Aware Pairwise Scoring for Large-Scale Multi-Agent Reinforcement Learning
[
OpenReview]
Poster
None
DuRP: Dual-Stage Physics-Embedded Learning for Joint Radiance and Polarization Restoration
[
OpenReview]
Poster
None
Class-Prior Perturbation-Robust Regularization for Imbalanced Unreliable Partial Label Learning
[
OpenReview]
Poster
None
Information-Theoretic Generalization Bounds for VAEs: A Role of Encoder and Latent Variable
[
OpenReview]
Poster
None
PAMD: Structured Adaptive Distances for Bisimulation Representations in Visual Reinforcement Learning
[
OpenReview]
Poster
None
When Do Hallucinations Arise? A Graph Perspective on the Evolution of Path Reuse and Path Compression
[
OpenReview]
Poster
None
Calibrated Multimodal Representation Learning with Missing Modalities
[
Poster]
[
OpenReview]
Poster
None
From Statics to Dynamics: Physics-Aware Image Editing with Latent Transition Priors
[
OpenReview]
Poster
None
De4D-SLAM: Gradient-Isolated Static-Dynamic Decoupling for Monocular SLAM in Dynamic Environments
[
OpenReview]
Poster
None
Untied Ulysses: Memory-Efficient Context Parallelism via Headwise Chunking
[
OpenReview]
Poster
None
FedARC: Anchor-Guided Residual Compensation for Data and Model Heterogeneous Federated Learning
[
OpenReview]
Poster
None
Learning Global Representation from Queries for Vectorized HD Map Construction
[
OpenReview]
Poster
None
Are Tools Always Beneficial? Learning to Invoke Tools Adaptively for Dual-Mode Multimodal LLM Reasoning
[
OpenReview]
Poster
None
LagLLM: LLM-empowered lead–lag dependency learning for spatial-temporal time series forecasting
[
OpenReview]
Poster
None
UNIVERSAL REPRESENTATION OF GENERALIZED CONVEX FUNCTIONS AND THEIR GRADIENTS
[
OpenReview]
Poster
None
SciPredict: Can LLMs Predict the Outcomes of Scientific Experiments in Natural Sciences?
[
OpenReview]
Poster
None
BiCrossNet with Decoupled Dual Generators: A Parameter‑Efficient and Generalizable Few‑Shot Custom Gesture Recognition Framework
[
OpenReview]
Poster
None
Delving into Non-Exchangeability for Conformal Prediction in Graph-Structured Multivariate Time Series
[
OpenReview]
Poster
None
Rethinking generative image pretraining: How far are we from scaling up next-pixel prediction?
[
OpenReview]
Poster
None
Causes and Consequences of Representational Similarity in Machine Learning Models
[
OpenReview]
Poster
None
Neural-Inspired Modeling of Auditory Selection and Compensation for Audio-Visual Speech Separation
[
OpenReview]
Poster
None
Structured Expert Routing with Multi-View Task Priors for Offline Meta-Reinforcement Learning
[
OpenReview]
Poster
None
Error Propagation Mechanisms and Compensation Strategies for Quantized Diffusion Models
[
OpenReview]
Poster
None
How do Human Processes AI-generated Hallucination Contents: a Neuroimaging Study
[
OpenReview]
Poster
None
Efficient Equivariant High-Order Crystal Tensor Prediction via Cartesian Local-Environment Many-Body Coupling
[
OpenReview]
Poster
None
The Catastrophic Failure of *the* k-Means Algorithm in High Dimensions, and How Hartigan's Algorithm Avoids It
[
OpenReview]
Poster
None
Linear Causal Representation Learning by Topological Ordering, Pruning, and Disentanglement
[
OpenReview]
Poster
None
From Extraction to Deduction: Resolving Functional Misalignment in RAG via a Collaborative Critic-Reasoner Framework
[
OpenReview]
Poster
None
Learning to Label: A Reinforced Self-Evolving Framework for Semi-supervised Referring Expression Segmentation
[
OpenReview]
Poster
None
Meta-Black-Box Optimization Can Do Search Guidance for Expensive Constrained Multi-Objective Optimization
[
OpenReview]
Poster
None
Gradient Descent as a Perceptron Algorithm: Understanding Dynamics and Implicit Acceleration
[
OpenReview]
Poster
None
Fine-Tune Once, Reuse Across Models: Bayesian Task-Update Factors and Approximations
[
OpenReview]
Poster
None
Split Group Knockoffs: Controlling False Discovery Rate in Transformational Group Sparsity
[
OpenReview]
Poster
None
Towards a Holistic Understanding of Selection Bias for Causal Effect Identification
[
OpenReview]
Poster
None
Convergence Analysis of the Lion Optimizer in Centralized and Distributed Settings
[
OpenReview]
Poster
None
Sampling and Identity-Testing Without Approximate Tensorization of Entropy
[
OpenReview]
Poster
None
From Per-Image Low-Rank to Encoding Mismatch: Rethinking Feature Distillation in Vision Transformers
[
OpenReview]
Poster
None
Asymptotic Universal Alignment: A New Alignment Framework via Test-Time Scaling
[
OpenReview]
Poster
None
GXPO: Group Cross-Lingual Relative Policy Optimization for Code Generation
[
OpenReview]
Poster
None
Infinite-World: Scaling Interactive World Models to 1000-Frame Horizons via Pose-Free Hierarchical Memory
[
OpenReview]
Poster
None
TRIM: Token-wise Attention-Derived Saliency for Data-Efficient Instruction Tuning
[
OpenReview]
Poster
None
Hierarchical Causal Abduction: A Foundation Framework for Explainable Model Predictive Control
[
OpenReview]
Poster
None
UniFLoW: Universal Multi-Modal Federated LoRA Fine-Tuning Framework with Analytical Aggregation
[
OpenReview]
Poster
None
Reason with Thumbnails, Answer with Focus: An Efficient and Effective Paradigm for Multimodal Grounded Visual Reasoning
[
OpenReview]
Poster
None
PhaseAlign: Complex Phase Alignment for Stable Open-Vocabulary Semantic Segmentation
[
OpenReview]
Poster
None
INT vs. FP: A Comprehensive Study of Fine-Grained Low-bit Quantization Formats
[
OpenReview]
Poster
None
Simultaneous Confidence Bounds for Aggregated Effects via Exact Subset Optimization
[
OpenReview]
Poster
None
Order within Chaos: Capturing Intrinsic Energy Anomalies for AI-Manipulated Image Forgery Localization
[
OpenReview]
Poster
None
HECTOR: Hybrid Editable Compositional Object References for Video Generation
[
OpenReview]
Poster
None
Inverse Entropic Optimal Transport Solves Semi-supervised Learning via Data Likelihood Maximization
[
OpenReview]
Poster
None
Learning Molecular Semantic Invariant Representation with Prototype Constraint
[
OpenReview]
Poster
None
ForceForget: Reinforcement Concept Removal for Enhancing Safety in Text-to-Image Models
[
OpenReview]
Poster
None
SI-IGCL: Subject Invariance-aware Inverse Graph Contrastive Learning for Psychiatric Disorder Identification
[
OpenReview]
Poster
None
Position: Unplugging a Seemingly Sentient Machine Is the Rational Choice — A Metaphysical Perspective
[
OpenReview]
Poster
None
Position: Evidence and Implications of Texture Bias in Deep Neural Networks
[
OpenReview]
Poster
None
Position: Temporal Measurement Interval Determines Computational and Model Complexity in Single-Cell Perturbation Analysis
[
OpenReview]
Poster
None
Position: Prioritize Identifying Structure, Not Complex Models, for Scientific Discovery
[
OpenReview]
Poster
None
Position: Neglecting the Sustainability of AI is Fuelling a Global AI Arms Race
[
OpenReview]
Poster
None
Position: AI Researchers Must Lead Arms Control to Mitigate Military AI Risks
[
OpenReview]
Poster
None
Position: Multiple Definitions & Unrealistic Assumptions of Model Collapse Distract from Real World Threats
[
OpenReview]
Poster
None
Position: Topological Machine Learning Cannot Progress without Experimental Standards
[
OpenReview]
Poster
None
Position: Current Model Cards Are Insufficient for Downstream Governance of Open-Weight Foundation Models
[
OpenReview]
Poster
None
Position: Web Agents Should Use Typed Actions Instead of Click-Based Browsing
[
OpenReview]
Poster
None
Position: The Age of AI Agents Demands A New Scientific Paradigm To Sustain Trustworthy Science
[
OpenReview]
Poster
None
Position: Model identity in machine learning is a convention, not a property
[
OpenReview]
Poster
None
Position: To Defend Against Cyber Attacks, We Must Teach AI Agents to Hack
[
OpenReview]
Poster
None
Position: Sycophancy is an Educational Safety Risk: Why LLM Tutors Need Sycophancy Benchmarks
[
OpenReview]
Poster
None
Position: Knowing Isn’t Understanding: Re-grounding Generative Proactivity with Epistemic and Behavioral Insight
[
OpenReview]
Poster
None
Position: Responsible Practices and Model Performance are Not Competing Goals
[
OpenReview]
Poster
None
Position: Express Your Doubts — Probabilistic World Modeling Should not be Based on Token *logprobs*
[
OpenReview]
Poster
None
Position: We Need AI Efficiency Incentives for Accessibility and Sustainability
[
OpenReview]
Poster
None
Position: Vector Prompt Interfaces Should Be Exposed to Enable Customization of Large Language Models
[
OpenReview]
Poster
None
Position: Generative Models Erode Temporal Learning Through Market Selection
[
OpenReview]
Poster
None
Position: AGI Requires a Coordination Layer on Top of Pattern Repositories
[
OpenReview]
Poster
None
Position: Collaborative Agentic AI Needs Interoperability Across Ecosystems
[
OpenReview]
Poster
None
Position: AI for Science Should Treat Measurement-to-Dataset Pipelines as Inference Components
[
OpenReview]
Poster
None
Bridging RGB and RAW: Single-step Deterministic Flow with Homogeneous Aligned Guidance
[
OpenReview]
Poster
None
Lower Complexity Bounds for Nonconvex-Strongly-Convex Bilevel Optimization with First-Order Oracles
[
OpenReview]
Poster
None
Steering Out-of-Distribution Generalization with Concept Ablation Fine-Tuning
[
OpenReview]
Poster
None
Belief Dynamics Reveal the Dual Nature of In-Context Learning and Activation Steering
[
OpenReview]
Poster
None
Multi-Objective Learning for Diffusion Models: A Statistical Theory under Semi-Supervised Learning
[
OpenReview]
Poster
None
The Perception–Physics Paradox: Probing Scientific Alignment with TC-Atlas
[
OpenReview]
Poster
None
ScoreMatchingRiesz: Score Matching for Debiased Machine Learning and Policy Path Estimation
[
OpenReview]
Poster
None
TABX: A High-Throughput Sandbox Battle Simulator for Multi-Agent Reinforcement Learning
[
OpenReview]
Poster
None
Dynamics and representation structure of local approximations to gradient-based learning in linear recurrent neural networks
[
OpenReview]
Poster
None
RubricRobustness: A Simple Framework for Evaluating the Robustness of Rubrics-Based Benchmarks
[
OpenReview]
Poster
None
GAAVI: Global Asymptotic Anytime Valid Inference for the Conditional Mean Function
[
OpenReview]
Poster
None
Natural Language Actor–Critic Is Bilevel: Learning to Reason with Textual Feedback
[
OpenReview]
Poster
None
Recurrent Equivariant Constraint Modulation: Learning Per-Layer Symmetry Relaxation from Data
[
OpenReview]
Poster
None
Sparse but Wrong: Incorrect L0 Leads to Incorrect Features in Sparse Autoencoders
[
OpenReview]
Poster
None
Foundations of Equivariant Deep Learning: Unifying Graph and Sheaf Neural Networks
[
OpenReview]
Poster
None
Synergistic Intra- and Cross-Layer Regularization Losses for MoE Expert Specialization
[
OpenReview]
Poster
None
From Individual Calibration to Reliable Classifiers: ALD Parameterization with mPAIC Guarantees
[
OpenReview]
Poster
None
Breaking the Simplification Bottleneck in Amortized Neural Symbolic Regression
[
OpenReview]
Poster
None
Align Forward, Adapt Backward: Closing the Discretization Gap in Logic Gate Networks
[
OpenReview]
Poster
None
GAUSS: Graph-Assisted Uncertainty Quantification using Structure and Semantics for Long-Form Generation in LLMs
[
OpenReview]
Poster
None
Set Diffusion: Interpolating Token Orderings between Autoregression and Diffusion for Fast and Flexible Decoding
[
OpenReview]
Poster
None
A Studentized Spherical Harmonics–Based Nonparametric Two-Sample Test for Compositional and Directional Data
[
OpenReview]
Poster
None
Clipping Low-Probability Tokens in SFT Yields a Generalizable Initialization for RL
[
OpenReview]
Poster
None
A Time-Reparameterized Cumulative Intensity Extrapolation Sampler for Discrete Flow Matching
[
OpenReview]
Poster
None
Flow Sampling : Learning to Sample from Unnormalized Densities via Denoising Conditional Processes
[
OpenReview]
Poster
None
Evaluating and Rewarding LALMs for Expressive Role-Play TTS via Mean Continuation Log-Probability
[
OpenReview]
Poster
None
Steer Where It Matters: Token-Level Visual-Sensitivity Steering for LVLMs Hallucination Mitigation
[
OpenReview]
Poster
None
Bregman meets Lévy: Stochastic Mirror Descent with Heavy-Tailed Noise in Continuous and Discrete Time
[
OpenReview]
Poster
None
Detecting the Semantic Fixed Point: A Geometric Framework for Efficient Inference
[
OpenReview]
Poster
None
Don't Ignore the Tail: Decoupling top-K Probabilities for Efficient Language Model Distillation
[
OpenReview]
Poster
None
Generalization of Gibbs and Langevin Monte Carlo Algorithms in the Interpolation Regime
[
OpenReview]
Poster
None
cuRegOT: A GPU-Accelerated Solver for Entropic-Regularized Optimal Transport
[
OpenReview]
Poster
None
Global Directional Priors with Local Statistical Validation for Scalable Causal Discovery
[
OpenReview]
Poster
None
Rectified LpJEPA: Joint-Embedding Predictive Architectures with Sparse and Maximum-Entropy Representations
[
OpenReview]
Poster
None
MET-Bench: Multimodal Entity Tracking for Evaluating the Limitations of Vision-Language and Reasoning Models
[
OpenReview]
Poster
None
How high is ‘high’? Rethinking the roles of dimensionality in topological data analysis and manifold learning
[
OpenReview]
Poster
None
Training-Free Distribution Adaptation for Diffusion Models via Maximum Mean Discrepancy Guidance
[
OpenReview]
Poster
None
Decomposing Out-of-Distribution Error in Conditional Flow Matching via Wasserstein Geometry
[
OpenReview]
Poster
None
Expected Return Causes Outcome-Level Mode Collapse in Reinforcement Learning and How to Fix It with Inverse Probability Scaling
[
OpenReview]
Poster
None
Dual-Stream Diffusion for World-Model Augmented Vision-Language-Action Model
[
OpenReview]
Poster
None
OServe: Accelerating LLM Serving via Spatial-Temporal Workload Orchestration
[
OpenReview]
Poster
None
Golden Goose: A Simple Trick to Synthesize Unlimited RLVR Tasks from Unverifiable Internet Text
[
OpenReview]
Poster
None
Near-Optimal Convergence of Accelerated Gradient Methods under Generalized and $(L_0,L_1)$-Smoothness
[
OpenReview]
Poster
None
Accelerated Dual Method for Distributed Optimization: An Inexact-Gradient View of Local Updates
[
OpenReview]
Poster
None
Shuffle the Context: RoPE-Perturbed Self-Distillation for Long-Context Adaptation
[
OpenReview]
Poster
None
Predictable Compression Failures: Order Sensitivity and Information Budgeting for Evidence-Grounded Binary Adjudication
[
OpenReview]
Poster
None
Optimal Bayesian Stopping for Efficient Inference of Consistent LLM Answers
[
OpenReview]
Poster
None
Rank-Aware Spectral Bounds on Attention Logits for Stable Low-Precision Training
[
OpenReview]
Poster
None
The Crowded Embedding Space: A Mean-Field Mechanism for Emergent Marginalization in Retrieval-Augmented Agents
[
OpenReview]
Poster
None
Model-Based Diffusion Sampling for Predictive Control in Offline Decision Making
[
OpenReview]
Poster
None
Factorized Scheduling Principle: Learning Interpretable and Transferable Policies via Structured Additive Functions
[
OpenReview]
Poster
None
ZeroDiff: Zero-Shot Time Series Reconstruction via Informed-Prior Diffusion
[
OpenReview]
Poster
None
Plug-and-Play Guidance for Discrete Diffusion Models via Gradient-Informed Logit Correction
[
OpenReview]
Poster
None
Cerebellar-Inspired Residual Control for Fault Recovery: From Inference-Time Adaptation to Structural Consolidation
[
OpenReview]
Poster
None
MoSSP: A Momentum-Based Single-Loop Stochastic Penalty Method for Nonconvex Constrained DC Optimization
[
OpenReview]
Poster
None
GLARE: Scalable Neuro-Symbolic Reward Shaping for LLM Agents via Group-Level Automata
[
OpenReview]
Poster
None
Extending Fair Null-Space Projections for Continuous Attributes to Kernel Methods
[
OpenReview]
Break
Mon Jul 06 08:30 AM -- 09:30 AM (KST) None
Coffee Break
Break
Mon Jul 06 12:00 PM -- 01:00 PM (KST) None
Lunch
Break
Mon Jul 06 03:30 PM -- 04:30 PM (KST) None
Coffee Break
Affinity Event
Tue Jul 07 08:00 AM -- 05:00 PM (KST) @ CONF ROOM S300 None
LatinX in AI Workshop
[
OpenReview]
Invited Talk
Tue Jul 07 08:30 AM -- 09:30 AM (KST) @ HALL C None
Towards AI Agents In the Real World
Break
Tue Jul 07 09:30 AM -- 10:30 AM (KST) None
Coffee Break
Oral Session
Tue Jul 07 10:00 AM -- 11:00 AM (KST) None
Oral Session 1A
Oral Session
Tue Jul 07 10:00 AM -- 11:00 AM (KST) None
Oral Session 1B
Oral Session
Tue Jul 07 10:00 AM -- 11:00 AM (KST) None
Oral Session 1C
Oral Session
Tue Jul 07 10:00 AM -- 11:00 AM (KST) None
Oral Session 1D
Oral Session
Tue Jul 07 10:00 AM -- 11:00 AM (KST) None
Oral Session 1E
Oral Session
Tue Jul 07 10:00 AM -- 11:00 AM (KST) None
Oral Session 1F
Oral Session
Tue Jul 07 10:00 AM -- 11:00 AM (KST) None
Oral Session 1G
Poster Session
Tue Jul 07 10:30 AM -- 12:15 PM (KST) None
Poster Session 1
Break
Tue Jul 07 12:00 PM -- 01:30 PM (KST) None
Lunch
Oral Session
Tue Jul 07 01:30 PM -- 02:30 PM (KST) None
Oral Session 2A
Oral Session
Tue Jul 07 01:30 PM -- 02:30 PM (KST) None
Oral Session 2B
Oral Session
Tue Jul 07 01:30 PM -- 02:30 PM (KST) None
Oral Session 2C
Oral Session
Tue Jul 07 01:30 PM -- 02:30 PM (KST) None
Oral Session 2D
Oral Session
Tue Jul 07 01:30 PM -- 02:30 PM (KST) None
Oral Session 2E
Oral Session
Tue Jul 07 01:30 PM -- 02:30 PM (KST) None
Oral Session 2F
Oral Session
Tue Jul 07 01:30 PM -- 02:30 PM (KST) None
Oral Session 2G
Poster Session
Tue Jul 07 02:00 PM -- 03:45 PM (KST) None
Poster Session 2
Break
Tue Jul 07 03:00 PM -- 04:00 PM (KST) None
Coffee Break
Invited Talk
Tue Jul 07 04:00 PM -- 05:00 PM (KST) @ HALL C None
Causal Inference with Transformer Models
Remarks
Tue Jul 07 05:00 PM -- 05:30 PM (KST) @ HALL C None
Welcome Remarks
Reception
Tue Jul 07 05:30 PM -- 07:00 PM (KST) None
Welcome Reception
Affinity Event
Wed Jul 08 08:00 AM -- 05:00 PM (KST) @ CONF ROOM E1 - E4 None
WiML Symposium at ICML 2026
[
OpenReview]
Invited Talk
Wed Jul 08 08:30 AM -- 09:30 AM (KST) @ HALL C None
How Far Can Quadratics Take Us? Lessons for LLM Pretraining
Break
Wed Jul 08 09:30 AM -- 10:30 AM (KST) None
Coffee Break
Oral Session
Wed Jul 08 10:00 AM -- 11:00 AM (KST) None
Oral Session 3A
Oral Session
Wed Jul 08 10:00 AM -- 11:00 AM (KST) None
Oral Session 3B
Oral Session
Wed Jul 08 10:00 AM -- 11:00 AM (KST) None
Oral Session 3C
Oral Session
Wed Jul 08 10:00 AM -- 11:00 AM (KST) None
Oral Session 3D
Oral Session
Wed Jul 08 10:00 AM -- 11:00 AM (KST) None
Oral Session 3E
Oral Session
Wed Jul 08 10:00 AM -- 11:00 AM (KST) None
Oral Session 3F
Oral Session
Wed Jul 08 10:00 AM -- 11:00 AM (KST) None
Oral Session 3G
Poster Session
Wed Jul 08 10:30 AM -- 12:15 PM (KST) None
Poster Session 3
Break
Wed Jul 08 12:00 PM -- 01:30 PM (KST) None
Lunch
Invited Talk
Wed Jul 08 01:30 PM -- 02:30 PM (KST) @ HALL C None
Lab-in-the-Loop for Drug R&D with AI
Poster Session
Wed Jul 08 02:30 PM -- 04:15 PM (KST) None
Poster Session 4
Test Of Time
Wed Jul 08 02:30 PM -- 03:00 PM (KST) @ HALL C None
Test of Time
Break
Wed Jul 08 03:00 PM -- 04:00 PM (KST) None
Coffee Break
Oral Session
Wed Jul 08 04:00 PM -- 05:00 PM (KST) None
Oral Session 4A
Oral Session
Wed Jul 08 04:00 PM -- 05:00 PM (KST) None
Oral Session 4B
Oral Session
Wed Jul 08 04:00 PM -- 05:00 PM (KST) None
Oral Session 4C
Oral Session
Wed Jul 08 04:00 PM -- 05:00 PM (KST) None
Oral Session 4D
Oral Session
Wed Jul 08 04:00 PM -- 05:00 PM (KST) None
Oral Session 4E
Oral Session
Wed Jul 08 04:00 PM -- 05:00 PM (KST) None
Oral Session 4F
Oral Session
Wed Jul 08 04:00 PM -- 05:00 PM (KST) None
Oral Session 4G
Poster Session
Wed Jul 08 05:00 PM -- 06:45 PM (KST) None
Poster Session 5
Poster
Wed Jul 08 07:00 PM -- 09:00 PM (KST) @ Coex: HALL A None
WiML, Muslims in ML, LatinX Poster Session
Affinity Event
Thu Jul 09 08:00 AM -- 05:00 PM (KST) @ CONF ROOM S300 None
The 6th Muslims in ML (MusIML) Workshop
[
OpenReview]
Affinity Event
Thu Jul 09 08:00 AM -- 05:00 PM (KST) @ CONF ROOM E1 - E4 None
GlobalSouthML @ ICML 2026
[
OpenReview]
Invited Talk
Thu Jul 09 08:30 AM -- 09:30 AM (KST) @ HALL C None
Normative alignment: A new paradigm for principled autonomous agents
Break
Thu Jul 09 09:30 AM -- 10:30 AM (KST) None
Coffee Break
Oral Session
Thu Jul 09 10:00 AM -- 11:00 AM (KST) None
Oral Session 5A
Oral Session
Thu Jul 09 10:00 AM -- 11:00 AM (KST) None
Oral Session 5B
Oral Session
Thu Jul 09 10:00 AM -- 11:00 AM (KST) None
Oral Session 5C
Oral Session
Thu Jul 09 10:00 AM -- 11:00 AM (KST) None
Oral Session 5D
Oral Session
Thu Jul 09 10:00 AM -- 11:00 AM (KST) None
Oral Session 5E
Oral Session
Thu Jul 09 10:00 AM -- 11:00 AM (KST) None
Oral Session 5F
Oral Session
Thu Jul 09 10:00 AM -- 11:00 AM (KST) None
Oral Session 5G
Poster Session
Thu Jul 09 10:30 AM -- 12:15 PM (KST) None
Poster Session 6
Break
Thu Jul 09 12:00 PM -- 01:30 PM (KST) None
Lunch
Invited Talk
Thu Jul 09 01:30 PM -- 02:30 PM (KST) @ HALL C None
What will be left for us to work on?
Poster Session
Thu Jul 09 02:30 PM -- 04:15 PM (KST) None
Poster Session 7
Town Hall
Thu Jul 09 02:30 PM -- 03:30 PM (KST) @ HALL C None
Town Hall
Break
Thu Jul 09 03:00 PM -- 04:00 PM (KST) None
Coffee Break
Oral Session
Thu Jul 09 04:00 PM -- 05:00 PM (KST) None
Oral Session 6A
Oral Session
Thu Jul 09 04:00 PM -- 05:00 PM (KST) None
Oral Session 6B
Oral Session
Thu Jul 09 04:00 PM -- 05:00 PM (KST) None
Oral Session 6C
Oral Session
Thu Jul 09 04:00 PM -- 05:00 PM (KST) None
Oral Session 6D
Oral Session
Thu Jul 09 04:00 PM -- 05:00 PM (KST) None
Oral Session 6E
Oral Session
Thu Jul 09 04:00 PM -- 05:00 PM (KST) None
Oral Session 6F
Oral Session
Thu Jul 09 04:00 PM -- 05:00 PM (KST) None
Oral Session 6G
Poster Session
Thu Jul 09 05:00 PM -- 06:45 PM (KST) None
Poster Session 8
Affinity Poster Session
Thu Jul 09 07:00 PM -- 09:00 PM (KST) @ Coex: HALL A None
GlobalSouthML Poster Session
Workshop
Fri Jul 10 08:00 AM -- 05:00 PM (KST) @ ASEM Ballroom 203 None
Second Workshop of AI4NextG: AI and ML for Next-Generation Wireless
[
OpenReview]
Workshop
Fri Jul 10 08:00 AM -- 05:00 PM (KST) @ GRAND BALLROOM 104-105 None
Failure Modes in Agentic AI: Reproducible Triggers, Trace Diagnostics, and Verified Fixes
[
OpenReview]
Workshop
Fri Jul 10 08:00 AM -- 05:00 PM (KST) @ CONF ROOM S327 None
Continual Adaptation at Scale: Towards Sustainable AI
[
OpenReview]
Workshop
Fri Jul 10 08:00 AM -- 05:00 PM (KST) @ AUDITORIUM None
AI as a Tool for Mathematics, Computer Science, and Machine Learning
[
OpenReview]
Workshop
Fri Jul 10 08:00 AM -- 05:00 PM (KST) @ CONF ROOM S318 None
Foundations of Deep Generative Models: Understanding Memorization, Generalization, and Reasoning
[
OpenReview]
Workshop
Fri Jul 10 08:00 AM -- 05:00 PM (KST) @ CONF ROOM S300 None
AI for Law Workshop
[
OpenReview]
Workshop
Fri Jul 10 08:00 AM -- 05:00 PM (KST) @ GRAND BALLROOM 101-102 None
RLxF: RL from World Feedback
[
OpenReview]
Workshop
Fri Jul 10 08:00 AM -- 05:00 PM (KST) @ ASEM Ballroom 201 None
SCALE: SCALABLE LEARNING AND OPTIMIZATION FOR EFFICIENT MULTIMODAL AI AGENTS
[
OpenReview]
Workshop
Fri Jul 10 08:00 AM -- 05:00 PM (KST) @ CONF ROOM E5 - E6 None
The 2nd Workshop on Epistemic Intelligence in Machine Learning: Learning under Unknown Unknowns for Real-world Impact
[
OpenReview]
Workshop
Fri Jul 10 08:00 AM -- 05:00 PM (KST) @ CONF ROOM S308 None
Graph Foundation Models: A New Era for Graph Machine Learning
[
OpenReview]
Workshop
Fri Jul 10 08:00 AM -- 05:00 PM (KST) @ CONF ROOM S317 None
Second Workshop on Technical AI Governance Research
[
OpenReview]
Workshop
Fri Jul 10 08:00 AM -- 05:00 PM (KST) @ CONF ROOM S403 None
Workshop on Weight-Space Symmetries: from Foundations to Practical Applications
[
OpenReview]
Workshop
Fri Jul 10 08:00 AM -- 05:00 PM (KST) @ HALL D1 None
4th Structured Probabilistic Inference & Generative Modeling
[
OpenReview]
Workshop
Fri Jul 10 08:00 AM -- 05:00 PM (KST) @ CONF ROOM E1 - E4 None
High Dimensional Learning Dynamics: the Science of Scaling
[
OpenReview]
Workshop
Fri Jul 10 08:00 AM -- 05:00 PM (KST) @ CONF ROOM S401 None
Combining Theory and Benchmarks: Towards A Virtuous Cycle to Understand and Guarantee Foundation Model Performance
[
OpenReview]
Workshop
Fri Jul 10 08:00 AM -- 05:00 PM (KST) @ HALL C None
Workshop on Mechanistic Interpretability
[
OpenReview]
Workshop
Fri Jul 10 08:00 AM -- 05:00 PM (KST) @ CONF ROOM S402 None
From Frames to Stories (F2S): Toward Reliable, Controllable and Trustworthy Long-Horizon Video Generation
[
OpenReview]
Workshop
Fri Jul 10 08:00 AM -- 05:00 PM (KST) @ ASEM Ballroom 202 None
Learning to Listen: ICML 2026 Workshop on Machine Learning for Audio
[
OpenReview]
Workshop
Fri Jul 10 08:00 AM -- 05:00 PM (KST) @ HALL B2 None
Deep Learning for Code: Towards Human-Centered Coding Agents
[
OpenReview]
Workshop
Fri Jul 10 08:00 AM -- 05:00 PM (KST) @ CONF ROOM S307 None
Culture x AI: Evaluating AI as a Cultural Technology
[
OpenReview]
Workshop
Fri Jul 10 08:00 AM -- 05:00 PM (KST) @ HALL D2 None
Generative and Agentic AI for Biology
[
OpenReview]
Workshop
Fri Jul 10 08:00 AM -- 05:00 PM (KST) @ GRAND BALLROOM 103 None
Trustworthy AI for Good Workshop
[
OpenReview]
Break
Fri Jul 10 09:00 AM -- 10:00 AM (KST) None
Break
Break
Fri Jul 10 12:00 PM -- 01:00 PM (KST) None
Lunch
Break
Fri Jul 10 03:00 PM -- 03:30 PM (KST) None
Break
Workshop
Sat Jul 11 08:00 AM -- 05:00 PM (KST) @ CONF ROOM S317 None
3rd Workshop on Multi-modal Foundation Models and Large Language Models for Life Sciences
[
OpenReview]
Workshop
Sat Jul 11 08:00 AM -- 05:00 PM (KST) @ CONF ROOM E5 - E6 None
The Second Workshop on the Impact of Memorization on Trustworthy Foundation Models
[
OpenReview]
Workshop
Sat Jul 11 08:00 AM -- 05:00 PM (KST) @ ASEM Ballroom 201 None
Efficient Multimodal Question Answering
[
OpenReview]
Workshop
Sat Jul 11 08:00 AM -- 05:00 PM (KST) @ CONF ROOM S300 None
Game Theory in Nature: From Optimality to Equilibrium
[
OpenReview]
Workshop
Sat Jul 11 08:00 AM -- 05:00 PM (KST) @ CONF ROOM S401 None
Workshop on Human-AI Co-Creativity: Advances, Opportunities, and Challenges
[
OpenReview]
Workshop
Sat Jul 11 08:00 AM -- 05:00 PM (KST) @ GRAND BALLROOM 104-105 None
Forecasting as a New Frontier of Intelligence
[
OpenReview]
Workshop
Sat Jul 11 08:00 AM -- 05:00 PM (KST) @ GRAND BALLROOM 103 None
Foundation Models for Structured Data (FMSD @ ICML 2026)
[
OpenReview]
Workshop
Sat Jul 11 08:00 AM -- 05:00 PM (KST) @ CONF ROOM S308 None
Philosophy Meets Machine Learning: What Counts as Trustworthy?
[
OpenReview]
Workshop
Sat Jul 11 08:00 AM -- 05:00 PM (KST) @ CONF ROOM S327 None
The 2nd Workshop on Connecting Low-rank Representations in AI: From Practice to Theory
[
OpenReview]
Workshop
Sat Jul 11 08:00 AM -- 05:00 PM (KST) @ AUDITORIUM None
2nd Workshop on Compositional Learning: Safety, Interpretability, and Agents
[
OpenReview]
Workshop
Sat Jul 11 08:00 AM -- 05:00 PM (KST) @ HALL D1 None
3rd AI for Math Workshop: Toward Self-Evolving Scientific Agents
[
OpenReview]
Workshop
Sat Jul 11 08:00 AM -- 05:00 PM (KST) @ HALL C None
AI for Science: AI Scientists -- Tools, Co-authors, or Founders?
[
OpenReview]
Workshop
Sat Jul 11 08:00 AM -- 05:00 PM (KST) @ CONF ROOM E1 - E4 None
Statistical Frameworks for Uncertainty in Agentic Systems
[
OpenReview]
Workshop
Sat Jul 11 08:00 AM -- 05:00 PM (KST) @ CONF ROOM S307 None
New Frontiers in Game-Theoretic Learning
[
OpenReview]
Workshop
Sat Jul 11 08:00 AM -- 05:00 PM (KST) @ ASEM Ballroom 202 None
AdaptFM: Resource-Adaptive Foundation Model Inference
[
OpenReview]
Workshop
Sat Jul 11 08:00 AM -- 05:00 PM (KST) @ CONF ROOM S318 None
ICML 2026 Hypothesis Testing Workshop
[
OpenReview]
Workshop
Sat Jul 11 08:00 AM -- 05:00 PM (KST) @ HALL B2 None
The Second Workshop on Agents in the Wild: Safety, Security, and Beyond
[
OpenReview]
Workshop
Sat Jul 11 08:00 AM -- 05:00 PM (KST) @ HALL D2 None
Structured Data for Health
[
OpenReview]
Workshop
Sat Jul 11 08:00 AM -- 05:00 PM (KST) @ ASEM Ballroom 203 None
Decision-Making from Offline Datasets to Online Adaptation: Black-Box Optimization to Reinforcement Learning
[
OpenReview]
Workshop
Sat Jul 11 08:00 AM -- 05:00 PM (KST) @ CONF ROOM S403 None
Second Pluralistic Alignment Workshop
[
OpenReview]
Workshop
Sat Jul 11 08:00 AM -- 05:00 PM (KST) @ CONF ROOM S402 None
AI4Physics: An ICML 2026 Workshop on AI for Physics
[
OpenReview]
Workshop
Sat Jul 11 08:00 AM -- 05:00 PM (KST) @ GRAND BALLROOM 101-102 None
Planning in The Era of Language Models (LM4Plan)
[
OpenReview]
Break
Sat Jul 11 09:00 AM -- 10:00 AM (KST) None
Break
Break
Sat Jul 11 12:00 PM -- 01:00 PM (KST) None
Lunch
Break
Sat Jul 11 03:00 PM -- 03:30 PM (KST) None
Break
Successful Page Load