Videos

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Sensitivity of tensor decompositions Thumbnail

Sensitivity of tensor decompositions

Presenter
  • Nick Vannieuwenhoven
May 4, 2021
IPAM
The Kikuchi Hierarchy and Tensor PCA Thumbnail

The Kikuchi Hierarchy and Tensor PCA

Presenter
  • Alex Wein
May 3, 2021
IPAM
Using tensor networks to design improved wavelets for image compression Thumbnail

Using tensor networks to design improved wavelets for image compression

Presenter
  • Glen Evenbly
April 21, 2021
IPAM
Deconfined quantum criticality in the spin-1/2 Shastry-Sutherland model in two dimension Thumbnail

Deconfined quantum criticality in the spin-1/2 Shastry-Sutherland model in two dimension

Presenter
  • Ling Wang
April 19, 2021
IPAM
Low Rank Tensor Methods in High Dimensional Data Analysis (Part 2/2) Thumbnail

Low Rank Tensor Methods in High Dimensional Data Analysis (Part 2/2)

Presenter
  • Ming Yuan
March 12, 2021
IPAM
Low Rank Tensor Methods in High Dimensional Data Analysis (Part 1/2) Thumbnail

Low Rank Tensor Methods in High Dimensional Data Analysis (Part 1/2)

Presenter
  • Ming Yuan
March 9, 2021
IPAM
Abstractions for programming distributed robotic applications Thumbnail

Abstractions for programming distributed robotic applications

Presenter
  • Sayan Mitra
October 30, 2020
IPAM
From Speech AI to Finance AI and Back Thumbnail

From Speech AI to Finance AI and Back

Presenter
  • Li Deng
August 18, 2020
IAS
The paracyclic geometry of Fukaya categories Thumbnail

The paracyclic geometry of Fukaya categories

Presenter
  • Hiro Tanaka
March 27, 2020
SLMath
Bregman proximal methods for semidefinite optimization Thumbnail

Bregman proximal methods for semidefinite optimization

Presenter
  • Lieven Vandenberghe
February 28, 2020
IPAM
Computational Imaging: Reconciling Models and Learning Thumbnail

Computational Imaging: Reconciling Models and Learning

Presenter
  • Ulugbek Kamilov
January 28, 2020
IPAM
How to assess scientific machine learning models? Prediction errors and predictive uncertainty quantification Thumbnail

How to assess scientific machine learning models? Prediction errors and predictive uncertainty quantification

Presenter
  • Matthias Rupp
November 21, 2019
IPAM