Videos

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Validation and Reproducibility by Geometry, for Unsupervised Learning Thumbnail

Validation and Reproducibility by Geometry, for Unsupervised Learning

Presenter
  • Marina Meila
October 31, 2019
IPAM
Hidden Physics Models: Machine Learning of Non-Linear Partial Differential Equations Thumbnail

Hidden Physics Models: Machine Learning of Non-Linear Partial Differential Equations

Presenter
  • Maziar Raissi
October 29, 2019
IPAM
Geometric surprises in modern machine learning Thumbnail

Geometric surprises in modern machine learning

Presenter
  • Andrea Montanari
April 30, 2019
IPAM
Physics Guided Machine Learning: A New Paradigm for Modeling Dynamical Systems Thumbnail

Physics Guided Machine Learning: A New Paradigm for Modeling Dynamical Systems

Presenter
  • Vipin Kumar
November 6, 2018
IPAM
Distributed Private Machine Learning Thumbnail

Distributed Private Machine Learning

Presenter
  • Abhradeep Thakurta
January 10, 2018
IPAM
Learning interactions from microscopic observables Thumbnail

Learning interactions from microscopic observables

Presenter
  • Albert Bartók-Pártay
November 1, 2017
IPAM
Stochastic Surface Walking Method for Reaction Sampling and the Combination with Machine Learning Thumbnail

Stochastic Surface Walking Method for Reaction Sampling and the Combination with Machine Learning

Presenter
  • Zhi-Pan Liu
October 20, 2017
IPAM
Optimization Methods for Machine Learning Thumbnail

Optimization Methods for Machine Learning

Presenter
  • Stephen Wright
October 6, 2017
IPAM
Applications of machine learning to materials data Thumbnail

Applications of machine learning to materials data

Presenter
  • Atsuto Seko
October 4, 2017
IPAM
Sparsity and rank: Applications to estimation, machine learning, and system identification. Thumbnail

Sparsity and rank: Applications to estimation, machine learning, and system identification.

Presenter
  • Ben Recht
May 31, 2014
IMA
Hogwild for Machine Learning on Multicore Thumbnail

Hogwild for Machine Learning on Multicore

Presenter
  • Ben Recht
March 28, 2012
IMA
Towards a Digital Twin Framework with Uncertainty Quantification: Machine Learning, Bayesian Optimization and Model Predictive Control Thumbnail

Towards a Digital Twin Framework with Uncertainty Quantification: Machine Learning, Bayesian Optimization and Model Predictive Control

Presenter
  • Wei Chen
April 23, 2025
IMSI