Videos

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Higher order rectifiability and Reifenberg parametrizations Thumbnail

Higher order rectifiability and Reifenberg parametrizations

Presenter
  • Silvia Ghinassi
March 9, 2020
IAS
Deep Learning of dynamical systems for mechanistic insight and prediction in psychiatry Thumbnail

Deep Learning of dynamical systems for mechanistic insight and prediction in psychiatry

Presenter
  • Daniel Durstewitz
February 18, 2020
IPAM
Antichains and intervals in the weak order Thumbnail

Antichains and intervals in the weak order

Presenter
  • Christian Gaetz
February 5, 2020
IPAM
Computational Imaging: Reconciling Models and Learning Thumbnail

Computational Imaging: Reconciling Models and Learning

Presenter
  • Ulugbek Kamilov
January 28, 2020
IPAM
Permutation property testing Thumbnail

Permutation property testing

Presenter
  • Fan Wei
December 17, 2019
IAS
Sparse matrices in sparse analysis Thumbnail

Sparse matrices in sparse analysis

Presenter
  • Anna Gilbert
October 28, 2019
IAS
Deep Learning: Triangle Machine Learning Day - Machine Learning from De-IdentifiedCoded Electronic Health Records (EHRs), David Page Thumbnail

Deep Learning: Triangle Machine Learning Day - Machine Learning from De-IdentifiedCoded Electronic Health Records (EHRs), David Page

September 20, 2019
SAMSI
Bounding and Counting Linear Regions of Deep Neural Networks Thumbnail

Bounding and Counting Linear Regions of Deep Neural Networks

Presenter
  • Thiago Serra
May 23, 2019
IPAM
Infinite-Width Bounded-Norm Networks: A View from Function Space Thumbnail

Infinite-Width Bounded-Norm Networks: A View from Function Space

Presenter
  • Nathan Srebro
April 30, 2019
IPAM
Digital Computing Beyond Moore’s Law Thumbnail

Digital Computing Beyond Moore’s Law

Presenter
  • John Shalf
November 29, 2018
IPAM
Quantum Computing and IBM Q: An Introduction Thumbnail

Quantum Computing and IBM Q: An Introduction

Presenter
  • Gavin Jones
November 26, 2018
IPAM
Deep Learning for Scientific Computing: Recent Success, challenges, and next steps Thumbnail

Deep Learning for Scientific Computing: Recent Success, challenges, and next steps

Presenter
  • Brian Van Essen
September 18, 2018
IPAM