Upcoming talks:
Past talks:
JAX MD: A Framework for Differentiable Atomistic Physics
Sam Schoenholz, Google Brain 12:00 ETTowards Flow-based MCMC for Lattice Gauge Theory with Fermions
Danilo Rezende, Deepmind 12:00 ETInterpretable Deep Learning for Physics
Miles Cranmer, Princeton 12:00 ETCompositionality of Symmetry in Equivariant Multilayer Perceptrons
Siamak Ravanbaksh, McGill 12:00 ETLearning Differential Equations
Jesse Bettencourt, University of Toronto, 12:00 ETExplaining Neural Scaling Laws
Ethan Dyer, Google, 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.
Videos may be found on our YouTube channel and slides by clicking on past talk titles.