Videos

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An introduction to concentration of measure with applications to graph-based learning (Part 1) Thumbnail

An introduction to concentration of measure with applications to graph-based learning (Part 1)

Presenter
  • Jeff Calder
March 11, 2020
IPAM
Learning from Censored and Dependent Data Thumbnail

Learning from Censored and Dependent Data

Presenter
  • Constantinos Daskalakis
March 9, 2020
IAS
MIP* = RE Thumbnail

MIP* = RE

Presenter
  • Henry Yuen
February 3, 2020
IAS
Deep Learning for Medical Image Registration Thumbnail

Deep Learning for Medical Image Registration

Presenter
  • Marc Niethammer
January 31, 2020
IPAM
Covariant neural network architectures for learning physics Thumbnail

Covariant neural network architectures for learning physics

Presenter
  • Risi Kondor
November 18, 2019
IPAM
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
Choiceless Polynomial Time Thumbnail

Choiceless Polynomial Time

Presenter
  • Ben Rossman
October 14, 2019
IAS
Recent advances in Derivative-Free Optimization and its connection to reinforcement learning Thumbnail

Recent advances in Derivative-Free Optimization and its connection to reinforcement learning

Presenter
  • Katya Scheinberg
September 25, 2019
IPAM
SAMSI Snapshots: 2019 Deep Learning Opening Workshop Thumbnail

SAMSI Snapshots: 2019 Deep Learning Opening Workshop

September 11, 2019
SAMSI
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
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
A theoretical look at adversarial examples: a perspective from high-dimensional geometry Thumbnail

A theoretical look at adversarial examples: a perspective from high-dimensional geometry

Presenter
  • Tom Goldstein
May 21, 2019
IPAM