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Poster
Wed 17:00 LoSparse: Structured Compression of Large Language Models based on Low-Rank and Sparse Approximation
Yixiao Li · Yifan Yu · Qingru Zhang · Chen Liang · Pengcheng He · Weizhu Chen · Tuo Zhao
Workshop
Geometric Constraints in Probabilistic Manifolds: A Bridge from Molecular Dynamics to Structured Diffusion Processes
Justin Diamond · Markus Lill
Poster
Thu 16:30 DecompDiff: Diffusion Models with Decomposed Priors for Structure-Based Drug Design
Jiaqi Guan · Xiangxin Zhou · Yuwei Yang · Yu Bao · Jian Peng · Jianzhu Ma · Qiang Liu · Liang Wang · Quanquan Gu
Poster
Thu 13:30 On Data Manifolds Entailed by Structural Causal Models
Ricardo Dominguez-Olmedo · Amir-Hossein Karimi · Georgios Arvanitidis · Bernhard Schölkopf
Workshop
Towards Modular Learning of Deep Causal Generative Models
Md Musfiqur Rahman · Murat Kocaoglu
Workshop
Inferring Hierarchical Structure in Multi-Room Maze Environments
Daria de Tinguy · Toon Van de Maele · Tim Verbelen · Bart Dhoedt
Workshop
Structured Neural Networks for Density Estimation
Asic Chen · Ruian Shi · Xiang Gao · Ricardo Baptista · Rahul G. Krishnan
Workshop
Efficient data selection employing Semantic Similarity-based Graph Structures for model training
Roxana Petcu · Subhadeep Maji
Workshop
Identifying Causal Mechanism Shifts among Nonlinear Additive Noise Models
Tianyu Chen · Kevin Bello · Bryon Aragam · Pradeep Ravikumar
Workshop
Scaling Graphically Structured Diffusion Models
Christian Weilbach · William Harvey · Hamed Shirzad · Frank Wood
Poster
Tue 17:00 Counterfactual Identifiability of Bijective Causal Models
Arash Nasr-Esfahany · Mohammad Alizadeh · Devavrat Shah
Workshop
Structured State Space Models for In-Context Reinforcement Learning
Christopher Lu · Yannick Schroecker · Albert Gu · Emilio Parisotto · Jakob Foerster · Satinder Singh · Feryal Behbahani