Videos

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Revealing the statistics of extreme events hidden in short weather forecast data Thumbnail

Revealing the statistics of extreme events hidden in short weather forecast data

Presenter
  • Justin Finkel
November 3, 2022
IMSI
Computational/Statistical Gaps for Learning Neural Networks Thumbnail

Computational/Statistical Gaps for Learning Neural Networks

Presenter
  • Adam Klivans
April 13, 2021
IMSI
Learning with entropy-regularized optimal transport Thumbnail

Learning with entropy-regularized optimal transport

Presenter
  • Aude Genevay
May 8, 2020
SLMath
Flexible machine learning approaches for computer-assisted surgery Thumbnail

Flexible machine learning approaches for computer-assisted surgery

Presenter
  • Tom Vercauteren
January 30, 2020
IPAM
Properties of Atoms in Molecules via Machine Learning Thumbnail

Properties of Atoms in Molecules via Machine Learning

Presenter
  • Matthias Rupp
February 25, 2015
IPAM
Po-Lun Ma - Encoding microphysics in Earth system modeling with artificial intelligence Thumbnail

Po-Lun Ma - Encoding microphysics in Earth system modeling with artificial intelligence

Presenter
  • Po-Lun Ma
February 5, 2026
IPAM
Advances in Probabilistic Generative Modeling for Scientific Machine Learning Thumbnail

Advances in Probabilistic Generative Modeling for Scientific Machine Learning

Presenter
  • Fei Sha
June 11, 2025
IMSI
FAIR Universe: Benchmarks for Systematics-Aware Machine Learning in Particle Physics and Cosmology Thumbnail

FAIR Universe: Benchmarks for Systematics-Aware Machine Learning in Particle Physics and Cosmology

Presenter
  • Po-Wen Chang
May 20, 2025
IMSI
Randomization, Neutrality, and Fairness: "Fair Division of Indivisibles" Thumbnail

Randomization, Neutrality, and Fairness: "Fair Division of Indivisibles"

Presenter
  • Ruta Mehta
October 25, 2023
SLMath

Reduced label complexity for tight linear regression

Presenter
  • Alex Gittens
June 29, 2023
ICERM
Michele Ceriotti - Machine learning for atomic-scale modeling - potentials and beyond - IPAM at UCLA Thumbnail

Michele Ceriotti - Machine learning for atomic-scale modeling - potentials and beyond - IPAM at UCLA

Presenter
  • Michele Ceriotti
May 3, 2023
IPAM
Gabor Csányi - Machine learning potentials: from polynomials to message passing networks Thumbnail

Gabor Csányi - Machine learning potentials: from polynomials to message passing networks

Presenter
  • Gabor Csányi
April 17, 2023
IPAM