Poster

Thu 14:00

A contrastive rule for meta-learning
Nicolas Zucchet · Simon Schug · Johannes von Oswald · Dominic Zhao · João Sacramento

Panel

Wed 10:00

Panel 3C-5: Biologically-Plausible Determinant Maximization… & What's the Harm? ...
Bariscan Bozkurt · Nathan Kallus

Poster

Wed 14:00

The least-control principle for local learning at equilibrium
Alexander Meulemans · Nicolas Zucchet · Seijin Kobayashi · Johannes von Oswald · João Sacramento

Poster

Thu 14:00

Biologically-plausible backpropagation through arbitrary timespans via local neuromodulators
Yuhan Helena Liu · Stephen Smith · Stefan Mihalas · Eric Shea-Brown · Uygar Sümbül

Poster

Thu 14:00

Biologically-Plausible Determinant Maximization Neural Networks for Blind Separation of Correlated Sources
Bariscan Bozkurt · Cengiz Pehlevan · Alper Erdogan

Tutorial

Mon 6:25

Approaches: what can be learned from biology?
Dhireesha Kudithipudi

Poster

Tue 14:00

Holomorphic Equilibrium Propagation Computes Exact Gradients Through Finite Size Oscillations
Axel Laborieux · Friedemann Zenke

Workshop

Designing Biological Sequences via Meta-Reinforcement Learning and Bayesian Optimization
Leo Feng · Padideh Nouri · Aneri Muni · Yoshua Bengio · Pierre-Luc Bacon

Poster

Tue 14:00

Biological Learning of Irreducible Representations of Commuting Transformations
Alexander Genkin · David Lipshutz · Siavash Golkar · Tiberiu Tesileanu · Dmitri Chklovskii

Workshop

meTCRs - Learning a metric for T-cell receptors
Felix Drost · Lennard Schiefelbein · Benjamin Schubert

Poster

Tue 9:00

Unsupervised Object Representation Learning using Translation and Rotation Group Equivariant VAE
Alireza Nasiri · Tristan Bepler

Workshop

Representation Learning to Effectively Integrate and Interpret Omics Data
Sara Masarone