Physics ∩ ML

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

Upcoming talks:

02 Dec 2020

Harnessing Data Revolution in Quantum Matter

Eun-Ah Kim, Cornell University, 12:00 EDT
09 Dec 2020

Feature Learning in Infinite-Width Neural Networks

Greg Yang, Microsoft Research, 12:00 EDT
13 Jan 2021

Quantum Machine Learning in High Energy Physics

Sofia Vallecorsa, CERN, 12:00 EDT
27 Jan 2021


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

Past talks:

18 Nov 2020
04 Nov 2020

Flow-based likelihoods for non-Gaussian inference.

Ana Diaz Rivero, Harvard University, 12:00 EDT
21 Oct 2020

Neural Scaling Laws and GPT-3

Jared Kaplan, Johns Hopkins University, 12:00 EDT
07 Oct 2020

Machine learning as a discovery tool in hep-th

Vishnu Jejjala, University of Witwatersrand, 12:00 EDT
23 Sep 2020
09 Sep 2020
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.