Upcoming talks:
Past talks:
Explorations at the Physics ∩ ML Interface
Kyle Cranmer, NYU, 12:00 ETMachine Learning for Calabi-Yau metrics
Fabian Ruehle, CERN and Oxford, 12:00 ETA Mathematical Exploration of Why Language Models Help Solve Downstream Tasks
Nikunj Saunshi, Princeton University, 12:00 EDTAlgebraic Neural Networks
Alejandro Ribeiro, University of Pennsylvania, 12:00 ETGenerative and Invertible Networks for the LHC
Tilman Plehn, Heidelberg University, 12:00 EDTNeural Mechanics: Symmetry and Broken Conservation Laws in Deep Learning Dynamics
Daniel Kunin and Hidenori Tanaka, 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.
Videos may be found on our YouTube channel and slides by clicking on past talk titles.