Videos

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Approximation and learning with tree tensor networks Thumbnail

Approximation and learning with tree tensor networks

Presenter
  • Anthony Nouy
March 30, 2021
IPAM
What happens on the fat-tail of high climate sensitivity? Thumbnail

What happens on the fat-tail of high climate sensitivity?

Presenter
  • Raymond Pierrehumbert
March 5, 2021
IMSI
Astrophysical fluid dynamics Thumbnail

Astrophysical fluid dynamics

Presenter
  • James Stone
February 22, 2021
IAS
Parsimonious structure-exploiting deep neural network surrogates for Bayesian inverse problems and optimal experimental design Thumbnail

Parsimonious structure-exploiting deep neural network surrogates for Bayesian inverse problems and optimal experimental design

Presenter
  • Omar Ghattas
October 7, 2020
IMSI
Large deviations for conservative, stochastic PDE and non-equilibrium fluctuations Thumbnail

Large deviations for conservative, stochastic PDE and non-equilibrium fluctuations

Presenter
  • Benjamin Gess
May 21, 2020
IPAM
Scaling Limits and Stochastic Homogenization Thumbnail

Scaling Limits and Stochastic Homogenization

Presenter
  • Nicolas Dirr
May 20, 2020
IPAM
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