Videos

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Learning dynamical laws from data in classical and quantum settings Thumbnail

Learning dynamical laws from data in classical and quantum settings

Presenter
  • Jens Eisert
October 29, 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
Machine learning approaches for a few optimization problems involving lines-of-sight Thumbnail

Machine learning approaches for a few optimization problems involving lines-of-sight

Presenter
  • Richard Tsai
May 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
Factors of sparse polynomials: structural results and some algorithms Thumbnail

Factors of sparse polynomials: structural results and some algorithms

Presenter
  • Shubhangi Saraf
March 26, 2019
IAS
One-relator groups, non-positive immersions and coherence Thumbnail

One-relator groups, non-positive immersions and coherence

Presenter
  • Henry Wilton
March 26, 2019
IAS
A Brief Tour of Proof Complexity: Lower Bounds and Open Problems Thumbnail

A Brief Tour of Proof Complexity: Lower Bounds and Open Problems

Presenter
  • Toniann Pitassi
March 19, 2019
IAS
Introduction to the Siegel modular variety and its ordinary locus Thumbnail

Introduction to the Siegel modular variety and its ordinary locus

Presenter
  • Keerthi Pera
February 19, 2019
IPAM
Ramanujan complexes and golden gates in PU(3). Thumbnail

Ramanujan complexes and golden gates in PU(3).

Presenter
  • Shai Evra
January 9, 2019
IAS
Small-Set Expansion on the Grassmann Graph. Thumbnail

Small-Set Expansion on the Grassmann Graph.

Presenter
  • Dor Minzer
October 23, 2018
IAS
Probabilistic data fusion and physics-informed machine learning: A new paradigm for modeling and computation under uncertainty Thumbnail

Probabilistic data fusion and physics-informed machine learning: A new paradigm for modeling and computation under uncertainty

Presenter
  • Paris Perdikaris
September 28, 2018
IPAM
The value of foresight Thumbnail

The value of foresight

Presenter
  • Philip Ernst
June 11, 2018
IMA