Physics ∩ ML

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

Past talks:

13 Jan 2021

Quantum Machine Learning in High Energy Physics

Sofia Vallecorsa, CERN, 12:00 EDT
16 Dec 2020

Two talks from string_data 2020

Haggai Maron (NVIDIA Research) and Sergei Gukov (CalTech), 12:00 EDT
09 Dec 2020

Feature Learning in Infinite-Width Neural Networks

Greg Yang, Microsoft Research, 12:00 EDT
02 Dec 2020

Harnessing Data Revolution in Quantum Matter

Eun-Ah Kim, Cornell University, 12:00 EDT
18 Nov 2020
04 Nov 2020

Flow-based likelihoods for non-Gaussian inference.

Ana Diaz Rivero, Harvard University, 12:00 EDT
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.