Videos

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Using machine learning to map the structure and predict the properties of materials and molecules Thumbnail

Using machine learning to map the structure and predict the properties of materials and molecules

Presenter
  • Michele Ceriotti
September 27, 2016
IPAM
Supervised Machine Learning Thumbnail

Supervised Machine Learning

Presenter
  • Klaus-Robert Müller
September 13, 2016
IPAM
Communication Efficient Algorithms for Distributed Machine Learning Thumbnail

Communication Efficient Algorithms for Distributed Machine Learning

Presenter
  • Nina Balcan
May 16, 2016
IMA

Certifiably Correct Machine Perception

Presenter
  • David Rosen
July 16, 2026
ICERM

Hong Qin - Machine Learning of Local Confinement and Transport from the International Multi-Tokamak Confinement Profile Database

May 6, 2026
IPAM
Jochen Garcke - Introduction to Machine Learning for Science and Engineering - IPAM at UCLA Thumbnail

Jochen Garcke - Introduction to Machine Learning for Science and Engineering - IPAM at UCLA

Presenter
  • Jochen Garcke
March 12, 2026
IPAM
Andrea Bertozzi - Machine Learning for High Throughput DNA-Aptamer Screening and Selection Thumbnail

Andrea Bertozzi - Machine Learning for High Throughput DNA-Aptamer Screening and Selection

Presenter
  • Andrea Bertozzi
February 24, 2026
IPAM
Terence Tao - Machine assistance and the future of research mathematics - IPAM at UCLA Thumbnail

Terence Tao - Machine assistance and the future of research mathematics - IPAM at UCLA

Presenter
  • Terence Tao
February 10, 2026
IPAM
Franca Hoffmann - Efficient calibration for black-box physics-based models - IPAM at UCLA Thumbnail

Franca Hoffmann - Efficient calibration for black-box physics-based models - IPAM at UCLA

Presenter
  • Franca Hoffmann
February 6, 2026
IPAM
David John Gagne - Physics and Uncertainty in the Community Research Earth Digital Intelligence Twin Thumbnail

David John Gagne - Physics and Uncertainty in the Community Research Earth Digital Intelligence Twin

Presenter
  • David John Gagne
February 6, 2026
IPAM
Mohamed Iskandarani - Uncertainty Quantification in Ocean-Atmosphere Simulation w/ Polynomial Chaos Thumbnail

Mohamed Iskandarani - Uncertainty Quantification in Ocean-Atmosphere Simulation w/ Polynomial Chaos

Presenter
  • Mohamed Iskandarani
February 5, 2026
IPAM
Claire Valva - Koopman operator methods for analysis of tropical climate variability - IPAM at UCLA Thumbnail

Claire Valva - Koopman operator methods for analysis of tropical climate variability - IPAM at UCLA

Presenter
  • Claire Valva
February 5, 2026
IPAM