Physics ∩ ML
a virtual hub at the interface of theoretical physics and deep learning.
Past talks:
08
Sep 2021
JAX MD: A Framework for Differentiable Atomistic Physics
Sam Schoenholz, Google Brain 12:00 ET
25
Aug 2021
Towards Flow-based MCMC for Lattice Gauge Theory with Fermions
Danilo Rezende, Deepmind 12:00 ET
11
Aug 2021
Interpretable Deep Learning for Physics
Miles Cranmer, Princeton 12:00 ET
28
Jul 2021
Compositionality of Symmetry in Equivariant Multilayer Perceptrons
Siamak Ravanbaksh, McGill 12:00 ET
14
Jul 2021
Learning Differential Equations
Jesse Bettencourt, University of Toronto, 12:00 ET
16
Jun 2021
Explaining Neural Scaling Laws
Ethan Dyer, Google, 12:00 ET
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