Videos

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Hamiltonian Systems Topical Workshop 1 - Dark Plasma Thumbnail

Hamiltonian Systems Topical Workshop 1 - Dark Plasma

Presenter
  • Joshua Burby
October 11, 2018
SLMath
Machine Learning and Dynamical Systems meet in Reproducing Kernel Hilbert Spaces Thumbnail

Machine Learning and Dynamical Systems meet in Reproducing Kernel Hilbert Spaces

Presenter
  • Boumediene Hamzi
October 28, 2019
IPAM
Data-driven transfer operator approximation, model reduction, and system identification Thumbnail

Data-driven transfer operator approximation, model reduction, and system identification

Presenter
  • Stefan Klus
November 1, 2019
IPAM
Yongsoo Yang - Neural network-assisted atomic electron tomography - IPAM at UCLA Thumbnail

Yongsoo Yang - Neural network-assisted atomic electron tomography - IPAM at UCLA

Presenter
  • Yongsoo Yang
October 26, 2022
IPAM
Electronic and Optical Properties of 2D Atomic InSe Crystals Thumbnail

Electronic and Optical Properties of 2D Atomic InSe Crystals

Presenter
  • Vladimir Falko
May 17, 2017
IMA
Manifold Learning in Analysis of High Dimensional Remote Sensing Data Thumbnail

Manifold Learning in Analysis of High Dimensional Remote Sensing Data

Presenter
  • Melba Crawford
September 25, 2013
IMA
Parameter estimation utilizing data-driven reduced-order modeling with applications in structural health monitoring Thumbnail

Parameter estimation utilizing data-driven reduced-order modeling with applications in structural health monitoring

Presenter
  • Carmen Grässle
November 14, 2025
IMSI
Modeling Material Defects with the Fragment Hamiltonian Approach Thumbnail

Modeling Material Defects with the Fragment Hamiltonian Approach

Presenter
  • Steven Valone
October 1, 2012
IPAM
Twenty years of path sampling: origins and recent developments Thumbnail

Twenty years of path sampling: origins and recent developments

Presenter
  • Peter Bolhuis
October 17, 2017
IPAM
Learning models: connections between boosting, hard-core distributions, dense models, GAN, and regularity II Thumbnail

Learning models: connections between boosting, hard-core distributions, dense models, GAN, and regularity II

Presenter
  • Russell Impagliazzo
November 14, 2017
IAS
Learning models: connections between boosting, hard-core distributions, dense models, GAN, and regularity I Thumbnail

Learning models: connections between boosting, hard-core distributions, dense models, GAN, and regularity I

Presenter
  • Russell Impagliazzo
November 13, 2017
IAS
Modeling rare events. Discovering reaction pathways, slow variables, and committor probabilities with machine learning Thumbnail

Modeling rare events. Discovering reaction pathways, slow variables, and committor probabilities with machine learning

Presenter
  • Christophe Chipot
April 26, 2024
IMSI