Videos

Start date cannot be after end date.
Why Deep Learning Works: Heavy-Tailed Random Matrix Theory as an Example of Physics Informed Machine Learning Thumbnail

Why Deep Learning Works: Heavy-Tailed Random Matrix Theory as an Example of Physics Informed Machine Learning

Presenter
  • Michael Mahoney
October 14, 2019
IPAM
Solving Quantum Many-Body Problems with Deep Neural Networks Thumbnail

Solving Quantum Many-Body Problems with Deep Neural Networks

Presenter
  • Han Pu
September 27, 2019
IPAM
Deep Generative Models for Molecular Graphs Thumbnail

Deep Generative Models for Molecular Graphs

Presenter
  • Nicola De Cao
September 24, 2019
IPAM
Magical Nilpotents and Higher Teichmuller Spaces Thumbnail

Magical Nilpotents and Higher Teichmuller Spaces

Presenter
  • Brian Collier
August 23, 2019
SLMath
Maximal Representations, Real Spectrum, and Harmonic Maps Thumbnail

Maximal Representations, Real Spectrum, and Harmonic Maps

Presenter
  • Marc Burger
August 23, 2019
SLMath
Symmetries of Cosmological Cauchy Horizons with Non-Closed Orbits Thumbnail

Symmetries of Cosmological Cauchy Horizons with Non-Closed Orbits

Presenter
  • Jim Isenberg
June 13, 2019
IAS
The inviscid limit for the Navier-Stokes equations with data analytic only near the boundary Thumbnail

The inviscid limit for the Navier-Stokes equations with data analytic only near the boundary

Presenter
  • Fei Wang
May 30, 2019
IAS
Automatic Differentiation, PyTorch and Graph Neural Networks Thumbnail

Automatic Differentiation, PyTorch and Graph Neural Networks

Presenter
  • Soumith Chintala
May 20, 2019
IPAM
Robust Estimation and Generative Adversarial Nets Thumbnail

Robust Estimation and Generative Adversarial Nets

Presenter
  • Chao Gao
May 3, 2019
IPAM
Log-concave density estimation: high dimensions Thumbnail

Log-concave density estimation: high dimensions

Presenter
  • Richard Samworth
April 30, 2019
IPAM
Graph inference via multiple testing in collaboration with Pierre Borgnat, Irène Gannaz, and Marine Roux Thumbnail

Graph inference via multiple testing in collaboration with Pierre Borgnat, Irène Gannaz, and Marine Roux

Presenter
  • Sophie Achard
April 2, 2019
IPAM
Limit Theorems for PCA Like Analysis on Non-Euclidean Spaces Thumbnail

Limit Theorems for PCA Like Analysis on Non-Euclidean Spaces

Presenter
  • Stephan Huckemann
April 2, 2019
IPAM