Physics ∩ ML
a virtual hub at the interface of theoretical physics and deep learning.
Upcoming talks:
18
May 2022
Simulation-based inference for astrophysical dark matter searches
Siddharth Mishra-Sharma, MIT
01
Jun 2022
TBA
Jesse Thaler, MIT
13
Jul 2022
TBA
Luisa Lucie-Smith, Max Planck Institute for Astrophysics
Past talks:
04
May 2022
Renormalization Group Flow as Optimal Transport
Semon Rezchikov, Harvard University
20
Apr 2022
Effective Theory of Deep Neural Networks
Sho Yaida, Meta AI
06
Apr 2022
Formal Mathematics Statement Curriculum Learning
Stanislas Polu, OpenAI
30
Mar 2022
Machine Learning Statistical Gravity from Multi-Region Entanglement Entropy
Yi-Zhuang You, UCSD
23
Mar 2022
Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer
Greg Yang, Microsoft Research
16
Mar 2022
BI for AI: Energy conserving descent for optimization
Eva Silverstein, Stanford
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Videos may be found on
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and slides by clicking on past talk titles.