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Poster
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Thu 14:00
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Attention-based Neural Cellular Automata
Mattie Tesfaldet · Derek Nowrouzezahrai · Chris Pal
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Workshop
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Pareto-Optimal Diagnostic Policy Learning in Clinical Applications via Semi-Model-Based Deep Reinforcement Learning
zheng Yu · Yikuan Li · Joseph Kim · Kaixuan Huang · Yuan Luo · Mengdi Wang
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Poster
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Thu 14:00
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Error Correction Code Transformer
Yoni Choukroun · Lior Wolf
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Poster
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Wed 14:00
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Deep Attentive Belief Propagation: Integrating Reasoning and Learning for Solving Constraint Optimization Problems
Yanchen Deng · Shufeng Kong · Caihua Liu · Bo An
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Workshop
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Deep Reinforcement Learning Policies Learn Shared Adversarial Directions Across MDPs
Ezgi Korkmaz
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Poster
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Tue 14:00
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RAMBO-RL: Robust Adversarial Model-Based Offline Reinforcement Learning
Marc Rigter · Bruno Lacerda · Nick Hawes
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Poster
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Tue 14:00
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Posterior Collapse of a Linear Latent Variable Model
Zihao Wang · Liu Ziyin
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Workshop
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Metal3D: Accurate prediction of transition metal ion location via deep learning
Simon Dürr
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Poster
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Wed 14:00
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DNA: Proximal Policy Optimization with a Dual Network Architecture
Matthew Aitchison · Penny Sweetser
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Workshop
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Unleashing The Potential of Data Sharing in Ensemble Deep Reinforcement Learning
Zhixuan Lin · Pierluca D'Oro · Evgenii Nikishin · Aaron Courville
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Poster
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Wed 14:00
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Vision Transformers provably learn spatial structure
Samy Jelassi · Michael Sander · Yuanzhi Li
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Poster
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Wed 14:00
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Learning Concept Credible Models for Mitigating Shortcuts
Jiaxuan Wang · Sarah Jabbour · Maggie Makar · Michael Sjoding · Jenna Wiens
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