Videos

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Operator-split reduced order models for problems with moving interfaces

Presenter
  • George Biros
April 24, 2020
ICERM
Learning with few labeled data Thumbnail

Learning with few labeled data

Presenter
  • Pratik Chaudhari
April 23, 2020
IPAM
Do Simpler Models Exist and How Can We Find Them? Thumbnail

Do Simpler Models Exist and How Can We Find Them?

Presenter
  • Cynthia Rudin
April 16, 2020
IAS

Structured Autoencoders for Operator-theoretic decomposition and Model reduction of Spatio-temporal dynamics

Presenter
  • Karthik Duraisamy
March 25, 2020
ICERM
Geometric Understanding of Supervised and Unsupervised Deep Learning for Biomedical Image Reconstruction Thumbnail

Geometric Understanding of Supervised and Unsupervised Deep Learning for Biomedical Image Reconstruction

Presenter
  • Jong Chul Ye
January 28, 2020
IPAM
Deep learning as a toy model of the 1/N-expansion and renormalization Thumbnail

Deep learning as a toy model of the 1/N-expansion and renormalization

Presenter
  • Daniel Roberts
November 20, 2019
IPAM
Trainability and accuracy of artificial neural networks Thumbnail

Trainability and accuracy of artificial neural networks

Presenter
  • Eric Vanden-Eijnden
November 18, 2019
IPAM
Validation and Reproducibility by Geometry, for Unsupervised Learning Thumbnail

Validation and Reproducibility by Geometry, for Unsupervised Learning

Presenter
  • Marina Meila
October 31, 2019
IPAM
Deep Learning: Triangle Machine Learning Day - What You Didn’t Learn About Machine Learning in School, Wayne Thompson Thumbnail

Deep Learning: Triangle Machine Learning Day - What You Didn’t Learn About Machine Learning in School, Wayne Thompson

September 20, 2019
SAMSI
Deep Learning: Triangle Machine Learning Day - Biomedical Image Understanding and EHRs at LifeOmic: Harnessing the Power of the Cloud, Matthew Phillips Thumbnail

Deep Learning: Triangle Machine Learning Day - Biomedical Image Understanding and EHRs at LifeOmic: Harnessing the Power of the Cloud, Matthew Phillips

September 20, 2019
SAMSI
Special Guest Lecture: Interpretable Machine Learning, Cynthia Rudin Thumbnail

Special Guest Lecture: Interpretable Machine Learning, Cynthia Rudin

August 28, 2019
SAMSI
Topological transitions (and symmetries) of input representations in Deep Learning Thumbnail

Topological transitions (and symmetries) of input representations in Deep Learning

Presenter
  • Naftali Tishby
May 1, 2019
IPAM