Videos

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Learning Reduced-Order Models for Cardiovascular Simulations using Graph Neural Networks


Presenter
  • Luca Pegolotti
June 6, 2023
ICERM
Tess Smidt - Learning how to break symmetry with symmetry-preserving neural networks - IPAM at UCLA Thumbnail

Tess Smidt - Learning how to break symmetry with symmetry-preserving neural networks - IPAM at UCLA

Presenter
  • Tess Smidt
January 26, 2023
IPAM
Jaesik Choi - Explainable AI to Analyze Internal Decision Mechanism of Deep Neural Networks Thumbnail

Jaesik Choi - Explainable AI to Analyze Internal Decision Mechanism of Deep Neural Networks

Presenter
  • Jaesik Choi
January 9, 2023
IPAM
Probabilistic forecast of extreme heat waves using convolutional neural networks and rare event simulations Thumbnail

Probabilistic forecast of extreme heat waves using convolutional neural networks and rare event simulations

Presenter
  • Freddy Bouchet
November 2, 2022
IMSI
High-dimensional extreme quantile regression using partially-interpretable neural networks Thumbnail

High-dimensional extreme quantile regression using partially-interpretable neural networks

Presenter
  • Raphael Huser
October 5, 2022
IMSI
Matthew Foulkes - Approximating Many-Electron Wave Functions using Neural Networks Thumbnail

Matthew Foulkes - Approximating Many-Electron Wave Functions using Neural Networks

Presenter
  • Matthew Foulkes
May 26, 2022
IPAM

Geometric Scattering And Applications

Presenter
  • Michael Perlmutter
December 17, 2021
ICERM
On the convergence of gradient descent for wide two-layer neural networks (Part 1) Thumbnail

On the convergence of gradient descent for wide two-layer neural networks (Part 1)

Presenter
  • Francis Bach
October 4, 2021
IMSI
On the convergence of gradient descent for wide two-layer neural networks (Part 2) Thumbnail

On the convergence of gradient descent for wide two-layer neural networks (Part 2)

Presenter
  • Francis Bach
October 4, 2021
IMSI
The Mysteries of Adversarial Robustness for Non-parametric Methods and Neural Networks Thumbnail

The Mysteries of Adversarial Robustness for Non-parametric Methods and Neural Networks

Presenter
  • Kamalika Chaudhuri
April 16, 2021
IMSI
Implicit Regularization in Deep Learning: Lessons Learned from Matrix and Tensor Factorization Thumbnail

Implicit Regularization in Deep Learning: Lessons Learned from Matrix and Tensor Factorization

Presenter
  • Nadav Cohen
March 31, 2021
IPAM
Graph Nets: The Next Generation Thumbnail

Graph Nets: The Next Generation

Presenter
  • Max Welling
July 21, 2020
IAS