Upcoming talks:
Past talks:
Neural Mechanics: Symmetry and Broken Conservation Laws in Deep Learning Dynamics
Daniel Kunin and Hidenori Tanaka, 12:00 EDTPhysics meets ML to solve cosmological inference
Ben Wandelt, Institut d’Astrophysique de Paris / Institut Lagrange, Sorbonne University and Center for Computational Astrophysics, Flatiron Institute, New York, 12:00 EDTThe Importance of Being Interpretable
Michelle Ntampaka, Space Telescope Science Institute, 12:00 EDTQuantum Machine Learning in High Energy Physics
Sofia Vallecorsa, CERN, 12:00 EDTTwo talks from string_data 2020
Haggai Maron (NVIDIA Research) and Sergei Gukov (CalTech), 12:00 EDTFeature Learning in Infinite-Width Neural Networks
Greg Yang, Microsoft Research, 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.