Videos

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Likelihood free generative modeling for high energy physics Thumbnail

Likelihood free generative modeling for high energy physics

Presenter
  • Benjamin Nachman
September 27, 2019
IPAM
Generalizing Hamiltonian Monte Carlo with Neural Networks Thumbnail

Generalizing Hamiltonian Monte Carlo with Neural Networks

Presenter
  • Jascha Sohl-Dickstein
September 26, 2019
IPAM
Understanding Neural Nets in Function Space Thumbnail

Understanding Neural Nets in Function Space

Presenter
  • Ankit Patel
September 26, 2019
IPAM
Machine learning for lattice field theory Thumbnail

Machine learning for lattice field theory

Presenter
  • Phiala Shanahan
September 26, 2019
IPAM
A Numerical Analysis Perspective on Deep Neural Networks Thumbnail

A Numerical Analysis Perspective on Deep Neural Networks

Presenter
  • Lars Ruthotto
September 25, 2019
IPAM
Automating Science using Robot Scientists Thumbnail

Automating Science using Robot Scientists

Presenter
  • Ross King
September 25, 2019
IPAM
Coarse graining autoencoders and evolutionary learning of atomistic potentials Thumbnail

Coarse graining autoencoders and evolutionary learning of atomistic potentials

Presenter
  • Rafael Gomez-Bombarelli
September 24, 2019
IPAM
Reinforcement learning for molecular generation Thumbnail

Reinforcement learning for molecular generation

Presenter
  • Patrick Riley
September 24, 2019
IPAM