Physics ∩ ML

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

Past talks:

16 Feb 2022
02 Feb 2022
05 Jan 2022

A self-consistent GP framework far from the GP limit

Gadi Naveh, Hebrew University of Jerusalem 12:00 ET
01 Dec 2021

Uncovering the Unknowns of Deep Neural Networks: Challenges and Opportunities

Sharon Li, University of Wisconsin - Madison 12:00 ET
03 Nov 2021
20 Oct 2021

Machine Learning Application for the Event Horizon Telescope

Joshua Yao-Yu Lin, University of Illinois at Urbana-Champaign 12:00 ET
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.