Videos

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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
Patrick Shafto - Common Ground in Cooperative Communication - IPAM at UCLA Thumbnail

Patrick Shafto - Common Ground in Cooperative Communication - IPAM at UCLA

Presenter
  • Patrick Shafto
October 15, 2024
IPAM
Workshop: Mathematics and Computer Science of Market and Mechanism Design: "Modeling Human Strategic Behavior from a Machine Learning Perspective" Thumbnail

Workshop: Mathematics and Computer Science of Market and Mechanism Design: "Modeling Human Strategic Behavior from a Machine Learning Perspective"

Presenter
  • Kevin Leyton-Brown
September 14, 2023
SLMath
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
Ian Robinson - Progress towards Machine Learning Phasing for Bragg Coherent Diffractive Imaging Thumbnail

Ian Robinson - Progress towards Machine Learning Phasing for Bragg Coherent Diffractive Imaging

Presenter
  • Ian Robinson
October 13, 2022
IPAM
Demetri Psaltis - Machine Learning for 3D Optical Imaging - IPAM at UCLA Thumbnail

Demetri Psaltis - Machine Learning for 3D Optical Imaging - IPAM at UCLA

Presenter
  • Demetri Psaltis
October 13, 2022
IPAM
Some Recent Insights on Transfer-Learning Thumbnail

Some Recent Insights on Transfer-Learning

Presenter
  • Samory Kpotufe
April 16, 2021
IMSI