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Thu Jul 21 10:30 AM -- 10:35 AM (PDT) @ Hall G
A Context-Integrated Transformer-Based Neural Network for Auction Design
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Thu Jul 21 10:35 AM -- 10:40 AM (PDT) @ Hall G
Domain Adaptation for Time Series Forecasting via Attention Sharing
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Thu Jul 21 10:40 AM -- 10:45 AM (PDT) @ Hall G
Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations
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Thu Jul 21 10:45 AM -- 10:50 AM (PDT) @ Hall G
Disentangling Disease-related Representation from Obscure for Disease Prediction
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Thu Jul 21 10:50 AM -- 10:55 AM (PDT) @ Hall G
Design-Bench: Benchmarks for Data-Driven Offline Model-Based Optimization
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Thu Jul 21 10:55 AM -- 11:00 AM (PDT) @ Hall G
Blocks Assemble! Learning to Assemble with Large-Scale Structured Reinforcement Learning
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Thu Jul 21 11:00 AM -- 11:05 AM (PDT) @ Hall G
Learning of Cluster-based Feature Importance for Electronic Health Record Time-series
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Thu Jul 21 11:05 AM -- 11:25 AM (PDT) @ Hall G None
Do Differentiable Simulators Give Better Policy Gradients?
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Thu Jul 21 11:25 AM -- 11:30 AM (PDT) @ Hall G
Adaptive Conformal Predictions for Time Series
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Thu Jul 21 11:30 AM -- 11:35 AM (PDT) @ Hall G
Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents
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Thu Jul 21 11:35 AM -- 11:40 AM (PDT) @ Hall G
Rethinking Graph Neural Networks for Anomaly Detection
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Thu Jul 21 11:40 AM -- 11:45 AM (PDT) @ Hall G
Fast Aquatic Swimmer Optimization with Differentiable Projective Dynamics and Neural Network Hydrodynamic Models
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Thu Jul 21 11:45 AM -- 11:50 AM (PDT) @ Hall G
Proving Theorems using Incremental Learning and Hindsight Experience Replay
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Thu Jul 21 11:50 AM -- 11:55 AM (PDT) @ Hall G
Discovering Generalizable Spatial Goal Representations via Graph-based Active Reward Learning
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Thu Jul 21 11:55 AM -- 12:00 PM (PDT) @ Hall G
Neural Inverse Kinematic
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