Upcoming talks:
Self-Supervised Learning of Generative Spin-Glasses with Normalizing Flows
Gavin Hartnett, RAND 12:00 ETTBA
Sharon Li, University of Wisconsin - Madison 12:00 ETPast talks:
Normalizing Flows for scientific applications
Uros Seljak, UC Berkeley 12:00 ETDifferentiable Physics Simulations for Deep Learning
Nils Thuerey, TU Munich 12:00 ETJAX 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 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.