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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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Workshop
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meTCRs - Learning a metric for T-cell receptors
Felix Drost · Lennard Schiefelbein · Benjamin Schubert
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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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Modeling Human Exploration Through Resource-Rational Reinforcement Learning
Marcel Binz · Eric Schulz
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Poster
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Tue 9:00
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Distinguishing Learning Rules with Brain Machine Interfaces
Jacob Portes · Christian Schmid · James M Murray
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Workshop
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Sat 8:30
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Information theory, learning, & hyperbolic geometry in neural representations in the hippocampus
Tatyana Sharpee
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Workshop
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Sat 6:30
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Machine Learning in Structural Biology Workshop
Roshan Rao · Jonas Adler · Namrata Anand · John Ingraham · Sergey Ovchinnikov · Ellen Zhong
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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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Workshop
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Membrane and microtubule rapid instance segmentation with dimensionless instance segmentation by learning graph representations of point clouds
Robert Kiewisz · Tristan Bepler
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Poster
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Thu 14:00
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Biologically-plausible backpropagation through arbitrary timespans via local neuromodulators
Yuhan Helena Liu · Stephen Smith · Stefan Mihalas · Eric Shea-Brown · Uygar Sümbül
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