Physics ∩ ML - a virtual hub at the interface of theoretical physics and deep learning.

Upcoming talks:

01 Dec 2021

Uncovering the Unknowns of Deep Neural Networks: Challenges and Opportunities

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

Past talks:

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

08 Sep 2021

JAX MD: A Framework for Differentiable Atomistic Physics

Sam Schoenholz, Google Brain 12:00 ET

25 Aug 2021

Towards Flow-based MCMC for Lattice Gauge Theory with Fermions

Danilo Rezende, Deepmind 12:00 ET