Yoav Ger
@yoavger.bsky.social
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phd student neuro theory @technion
reposted by
Yoav Ger
Memming Park
about 1 month ago
This was a fantastic poster presentation!
add a skeleton here at some point
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At
#NeurIPS
? Curious about how RNNs learn differently in closed-loop (RL) vs. open-loop (supervised) settings? Come by Poster #2107 on Thursday at 4:30 PM!
neurips.cc/virtual/2025...
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about 2 months ago
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reposted by
Yoav Ger
about 2 months ago
#NeuRIPS2025
Wanna find decision boundaries in your RNN? Or learn about Koopman Eigenfunctions? Come to my poster. #2002 Wednesday, Dec 3, 11am-2pm. Exhb. Hall C,D,E San Diego
neurips.cc/virtual/2025...
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NeurIPS Poster Finding separatrices of dynamical flows with Deep Koopman EigenfunctionsNeurIPS 2025
https://neurips.cc/virtual/2025/loc/san-diego/poster/119952
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Yoav Ger
Tom Everitt
8 months ago
Are world models necessary to achieve human-level agents, or is there a model-free short-cut? Our new
#ICML2025
paper tackles this question from first principles, and finds a surprising answer, agents _are_ world models… 🧵
arxiv.org/abs/2506.01622
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Yoav Ger
Jonathan A. Michaels
8 months ago
All our motor control modelling efforts focus on closed-loop systems for this reason: "...closed-loop and open-loop training produce fundamentally different learning dynamics, even when using identical architectures and converging to the same final solution."
arxiv.org/abs/2505.13567
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Learning Dynamics of RNNs in Closed-Loop Environments
Recurrent neural networks (RNNs) trained on neuroscience-inspired tasks offer powerful models of brain computation. However, typical training paradigms rely on open-loop, supervised settings, whereas ...
https://arxiv.org/abs/2505.13567
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