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Workshop
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How Can Neuroscience Help Us Build More Robust Deep Neural Networks?
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Workshop
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Balanced Training of Energy-Based Models with Adaptive Flow Sampling
Louis Grenioux · Eric Moulines · Marylou Gabrié
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Workshop
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Energy-Based Non-Negative Tensor Factorization via Multi-Body Modeling
Kazu Ghalamkari · Mahito Sugiyama
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Poster
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Wed 14:00
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Bayesian Reparameterization of Reward-Conditioned Reinforcement Learning with Energy-based Models
Wenhao Ding · Tong Che · Ding Zhao · Marco Pavone
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Workshop
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LLM-Based Aspect Augmentations for Recommendation Systems
Reza Yousefi Maragheh · LALITESH MORISHETTI · Ramin Giahi · Kaushiki Nag · Jianpeng Xu · Jason Cho · Evren Korpeoglu · Sushant Kumar · Kannan Achan
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Poster
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Thu 13:30
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Predictable MDP Abstraction for Unsupervised Model-Based RL
Seohong Park · Sergey Levine
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Workshop
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Hybrid Diffusions for Stable Molecular Structure Generation via Explicit Energy-based Model
Youngwoo Cho · Seunghoon Yi · Sookyung Kim · Hongkee Yoon · Joonseok Lee
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Poster
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Wed 17:00
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Restoration based Generative Models
Jaemoo Choi · Yesom Park · Myungjoo Kang
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Workshop
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Simulation-based Inference with the Generalized Kullback-Leibler Divergence
Benjamin Kurt Miller · Marco Federici · Christoph Weniger · Patrick Forré
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Poster
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Thu 13:30
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Model-based Reinforcement Learning with Scalable Composite Policy Gradient Estimators
Paavo Parmas · Takuma Seno · Yuma Aoki
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Workshop
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Understanding Energy-Based Modeling of Proteins via an Empirically Motivated Minimal Ground Truth Model
Peter Fields · Wave Ngampruetikorn · Rama Ranganathan · David Schwab · Stephanie Palmer
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Workshop
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Efficient data selection employing Semantic Similarity-based Graph Structures for model training
Roxana Petcu · Subhadeep Maji
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