Physics ∩ ML

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

Past talks:

19 May 2021

Are wider nets better given the same number of parameters?

Anna Golubeva, Perimeter Institute, 12:00 ET
05 May 2021

Explorations at the Physics ∩ ML Interface

Kyle Cranmer, NYU, 12:00 ET
21 Apr 2021

Machine Learning for Calabi-Yau metrics

Fabian Ruehle, CERN and Oxford, 12:00 ET
07 Apr 2021
24 Mar 2021

Algebraic Neural Networks

Alejandro Ribeiro, University of Pennsylvania, 12:00 ET
10 Mar 2021

Generative and Invertible Networks for the LHC

Tilman Plehn, Heidelberg 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.