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Tutorial
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Mon 6:25
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Approaches: what can be learned from biology?
Dhireesha Kudithipudi
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Workshop
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Designing Biological Sequences via Meta-Reinforcement Learning and Bayesian Optimization
Leo Feng · Padideh Nouri · Aneri Muni · Yoshua Bengio · Pierre-Luc Bacon
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Poster
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Wed 9:00
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Learning Symmetric Rules with SATNet
Sangho Lim · Eun-Gyeol Oh · Hongseok Yang
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Workshop
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Phase transitions and structure formation in learning local rules
Bojan Žunkovič · Enej Ilievski
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Workshop
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Representation Learning to Effectively Integrate and Interpret Omics Data
Sara Masarone
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Poster
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Tue 9:00
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Unsupervised Object Representation Learning using Translation and Rotation Group Equivariant VAE
Alireza Nasiri · Tristan Bepler
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Poster
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Thu 9:00
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RISE: Robust Individualized Decision Learning with Sensitive Variables
Xiaoqing Tan · Zhengling Qi · Christopher Seymour · Lu Tang
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Workshop
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meTCRs - Learning a metric for T-cell receptors
Felix Drost · Lennard Schiefelbein · Benjamin Schubert
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Poster
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Thu 9:00
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Modeling Human Exploration Through Resource-Rational Reinforcement Learning
Marcel Binz · Eric Schulz
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Poster
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Thu 14:00
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Adam Can Converge Without Any Modification On Update Rules
Yushun Zhang · Congliang Chen · Naichen Shi · Ruoyu Sun · Zhi-Quan Luo
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Poster
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Tue 14:00
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Learning Robust Rule Representations for Abstract Reasoning via Internal Inferences
Wenbo Zhang · likai tang · Site Mo · Xianggen Liu · Sen Song
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Poster
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Thu 14:00
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A contrastive rule for meta-learning
Nicolas Zucchet · Simon Schug · Johannes von Oswald · Dominic Zhao · João Sacramento
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