Physics ∩ ML
a virtual hub at the interface of theoretical physics and deep learning.
Upcoming talks:
08
Feb 2023
Bayesian Renormalization: An explicit correspondence between statistical inference and exact renormalization
Marc Klinger, University of Illinois Urbana-Champaign
Past talks:
11
Jan 2023
Implicit Regularization in Quantum Tensor Networks
Nadav Cohen, Tel Aviv University
14
Dec 2022
Differentiable Programming in HEP
Lukas Heinrich, TU Munich
16
Nov 2022
Anomaly detection in the search for new physics
Gregor Kasieczka, Hamburg University
05
Oct 2022
Maths with transformers
François Charton, Meta
27
Jul 2022
Minerva: Solving Quantitative Reasoning Problems with Language Models
Guy Gur-Ari, Google Brain
13
Jul 2022
Explainable deep learning models for cosmological structure formation
Luisa Lucie-Smith, Max Planck Institute for Astrophysics
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Videos may be found on
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and slides by clicking on past talk titles.