Physics ∩ ML

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

Upcoming talks:

10 Mar 2021

Generative and Invertible Networks for the LHC

Tilman Plehn, Heidelberg University, 12:00 EDT

Past talks:

24 Feb 2021
10 Feb 2021

Physics meets ML to solve cosmological inference

Ben Wandelt, Institut d’Astrophysique de Paris / Institut Lagrange, Sorbonne University and Center for Computational Astrophysics, Flatiron Institute, New York, 12:00 EDT
27 Jan 2021

The Importance of Being Interpretable

Michelle Ntampaka, Space Telescope Science Institute, 12:00 EDT
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
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.