Physics ∩ ML

a virtual hub at the interface of theoretical physics and deep learning.

Upcoming talks:

22 Sep 2021

Differentiable Physics Simulations for Deep Learning

Nils Thuerey, TU Munich 12:00 ET
06 Oct 2021

TBA

Uros Seljak, UC Berkeley 12:00 ET
03 Nov 2021

TBA

Gavin Hartnett, RAND 12:00 ET
01 Dec 2021

TBA

Sharon Li, University of Wisconsin - Madison 12:00 ET

Past talks:

08 Sep 2021

JAX MD: A Framework for Differentiable Atomistic Physics

Sam Schoenholz, Google Brain 12:00 ET
25 Aug 2021
11 Aug 2021

Interpretable Deep Learning for Physics

Miles Cranmer, Princeton 12:00 ET
28 Jul 2021
14 Jul 2021

Learning Differential Equations

Jesse Bettencourt, University of Toronto, 12:00 ET
16 Jun 2021

Explaining Neural Scaling Laws

Ethan Dyer, Google, 12:00 ET
For link and password to the talks, please sign up for the Physics ∩ ML mailing list.
Videos may be found on our YouTube channel and slides by clicking on past talk titles.