Videos

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PDE Approaches for Deep Learning Thumbnail

PDE Approaches for Deep Learning

Presenter
  • Stanley Osher
May 1, 2019
IPAM
Applications of machine learning in low-latency electromagnetic counterpart inference from gravitational waves Thumbnail

Applications of machine learning in low-latency electromagnetic counterpart inference from gravitational waves

Presenter
  • Deep Chatterjee
November 29, 2021
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
Introduction to Machine Learning Thumbnail

Introduction to Machine Learning

Presenter
  • Felix Brockherde
September 13, 2013
IPAM
New Problems and Perspectives on Sampling, Memory, and Learning Thumbnail

New Problems and Perspectives on Sampling, Memory, and Learning

Presenter
  • Gregory Valiant
April 13, 2021
IMSI

New Progress on Stochastic Variance-Reduced Methods in Machine Learning: Adaptive Restart and Distributed Optimization

Presenter
  • Qihang Lin
December 12, 2017
IMA
Partial Difference Operators on Weighted Graphs for Point Cloud Processing - From 3D Surfaces to Machine Learning Thumbnail

Partial Difference Operators on Weighted Graphs for Point Cloud Processing - From 3D Surfaces to Machine Learning

Presenter
  • Daniel Tenbrinck
February 9, 2016
IPAM
Carlos Bravo Prieto - Understanding quantum machine learning also requires rethinking generalization Thumbnail

Carlos Bravo Prieto - Understanding quantum machine learning also requires rethinking generalization

Presenter
  • Carlos Prieto
October 19, 2023
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
Interpretability for everyone Thumbnail

Interpretability for everyone

Presenter
  • Been Kim
April 15, 2020
IAS
Deep Gaussian Process Surrogates for Computer Experiments Thumbnail

Deep Gaussian Process Surrogates for Computer Experiments

Presenter
  • Robert Gramacy
August 31, 2022
IMSI
Wasserstein Distributionally Robust Optimization: Theory and Applications in Machine Learning Thumbnail

Wasserstein Distributionally Robust Optimization: Theory and Applications in Machine Learning

Presenter
  • Daniel Kuhn
February 26, 2020
IPAM