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36 Results
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Tutorial
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Mon 6:25 |
Approaches: what can be learned from biology? Dhireesha Kudithipudi |
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Poster
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Tue 14:00 |
Holomorphic Equilibrium Propagation Computes Exact Gradients Through Finite Size Oscillations Axel Laborieux · Friedemann Zenke |
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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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Tue 14:00 |
Biological Learning of Irreducible Representations of Commuting Transformations Alexander Genkin · David Lipshutz · Siavash Golkar · Tiberiu Tesileanu · Dmitri Chklovskii |
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Poster
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Thu 14:00 |
A contrastive rule for meta-learning Nicolas Zucchet · Simon Schug · Johannes von Oswald · Dominic Zhao · João Sacramento |
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Poster
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Tue 9:00 |
Unsupervised Object Representation Learning using Translation and Rotation Group Equivariant VAE Alireza Nasiri · Tristan Bepler |
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Workshop
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Representation Learning to Effectively Integrate and Interpret Omics Data Sara Masarone |
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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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Wed 9:00 |
On the Stability and Scalability of Node Perturbation Learning Naoki Hiratani · Yash Mehta · Timothy Lillicrap · Peter E Latham |
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Poster
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Tue 14:00 |
Single-phase deep learning in cortico-cortical networks Will Greedy · Heng Wei Zhu · Joseph Pemberton · Jack Mellor · Rui Ponte Costa |
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Poster
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Thu 9:00 |
Modeling Human Exploration Through Resource-Rational Reinforcement Learning Marcel Binz · Eric Schulz |
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Poster
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Tue 9:00 |
Distinguishing Learning Rules with Brain Machine Interfaces Jacob Portes · Christian Schmid · James M Murray |