Physics ∩ ML
a virtual hub at the interface of theoretical physics and deep learning.
Past talks:
05
Jan 2022
A self-consistent GP framework far from the GP limit
Gadi Naveh, Hebrew University of Jerusalem 12:00 ET
01
Dec 2021
Uncovering the Unknowns of Deep Neural Networks: Challenges and Opportunities
Sharon Li, University of Wisconsin - Madison 12:00 ET
03
Nov 2021
Self-Supervised Learning of Generative Spin-Glasses with Normalizing Flows
Gavin Hartnett, RAND 12:00 ET
20
Oct 2021
Machine Learning Application for the Event Horizon Telescope
Joshua Yao-Yu Lin, University of Illinois at Urbana-Champaign 12:00 ET
06
Oct 2021
Normalizing Flows for scientific applications
Uros Seljak, UC Berkeley 12:00 ET
22
Sep 2021
Differentiable Physics Simulations for Deep Learning
Nils Thuerey, TU Munich 12:00 ET
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