Physics ∩ ML

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

Past talks:

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
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
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.