Videos

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A mean-field theory of lazy training in two-layer neural nets: entropic regularization and controlled McKean-Vlasov dynamics Thumbnail

A mean-field theory of lazy training in two-layer neural nets: entropic regularization and controlled McKean-Vlasov dynamics

Presenter
  • Maxim Raginsky
April 21, 2020
IPAM
PDE analysis for sampling dynamics and generative models Thumbnail

PDE analysis for sampling dynamics and generative models

Presenter
  • Jianfeng Lu
April 20, 2020
IPAM
Solving Game-Theoretic Hamilton-Jacobi Equations in a Model-Free Way Thumbnail

Solving Game-Theoretic Hamilton-Jacobi Equations in a Model-Free Way

Presenter
  • Kyriakos Vamvoudakis
March 30, 2020
IPAM
High Dimensional PDEs: Theory and Numerical Algorithms Thumbnail

High Dimensional PDEs: Theory and Numerical Algorithms

Presenter
  • Weinan E
March 30, 2020
IPAM
Margins, perceptrons, and deep networks Thumbnail

Margins, perceptrons, and deep networks

Presenter
  • Matus Telgarsky
March 26, 2020
IAS
Integrating optimization, constraints, and control within deep learning models Thumbnail

Integrating optimization, constraints, and control within deep learning models

Presenter
  • Zico Kolter
February 26, 2020
IPAM
Current distribution for a two-species particle model from first principles Thumbnail

Current distribution for a two-species particle model from first principles

Presenter
  • Jan de Gier
February 6, 2020
IPAM
The Surface Quasigeostrophic equation on the sphere Thumbnail

The Surface Quasigeostrophic equation on the sphere

Presenter
  • Angel Martinez Martinez
October 28, 2019
IAS
Deep Neural Networks Motivated By Differential Equations (Part 2/2) Thumbnail

Deep Neural Networks Motivated By Differential Equations (Part 2/2)

Presenter
  • Lars Ruthotto
September 10, 2019
IPAM
Machine learning-enabled enhanced sampling in biomolecular simulation and data-driven design of self-assembling photonic crystals and optoelectonic π-conjugated oligopeptides Thumbnail

Machine learning-enabled enhanced sampling in biomolecular simulation and data-driven design of self-assembling photonic crystals and optoelectonic π-conjugated oligopeptides

Presenter
  • Andrew Ferguson
September 9, 2019
IPAM
Deep Neural Networks Motivated By Differential Equations (Part 1/2) Thumbnail

Deep Neural Networks Motivated By Differential Equations (Part 1/2)

Presenter
  • Lars Ruthotto
September 9, 2019
IPAM
Deep Learning Opening Workshop: Horseshoe Regularization for Machine Learning in Complex and Deep Models, Anindya Bhadra Thumbnail

Deep Learning Opening Workshop: Horseshoe Regularization for Machine Learning in Complex and Deep Models, Anindya Bhadra

August 12, 2019
SAMSI