Videos

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Learning the committor, free energy profile, and rates with ML-driven path sampling simulations Thumbnail

Learning the committor, free energy profile, and rates with ML-driven path sampling simulations

Presenter
  • Roberto Covino
April 22, 2024
IMSI
Introductory Workshop: Algorithms, Fairness, and Equity: "Epistemic Uncertainty, the AI Problem Understanding Gap and the Necessity of Structured Societal Context Knowledge for Safe, Robust AI" Thumbnail

Introductory Workshop: Algorithms, Fairness, and Equity: "Epistemic Uncertainty, the AI Problem Understanding Gap and the Necessity of Structured Societal Context Knowledge for Safe, Robust AI"

Presenter
  • Donald Martin
August 30, 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
Boris Kozinsky - Uncertainty-aware machine learning models of many-body atomic interactions Thumbnail

Boris Kozinsky - Uncertainty-aware machine learning models of many-body atomic interactions

Presenter
  • Boris Kozinsky
April 17, 2023
IPAM
Tutorial on Conformal Prediction and Distribution-Free Uncertainty Quantification Thumbnail

Tutorial on Conformal Prediction and Distribution-Free Uncertainty Quantification

Presenter
  • Anastasios Angelopoulos
March 31, 2023
IMSI
Kevin Kelly - Machine Learning Enhanced Compressive Hyperspectral Imaging - IPAM at UCLA Thumbnail

Kevin Kelly - Machine Learning Enhanced Compressive Hyperspectral Imaging - IPAM at UCLA

Presenter
  • Kevin Kelly
December 2, 2022
IPAM
Anouar Benali - multideterminant many-body methods to describe ground and excited state properties Thumbnail

Anouar Benali - multideterminant many-body methods to describe ground and excited state properties

Presenter
  • Anouar Benali
May 25, 2022
IPAM
Robert Webber - Approximate matrix eigenvalues, subspace iteration w/ repeated random sparsification Thumbnail

Robert Webber - Approximate matrix eigenvalues, subspace iteration w/ repeated random sparsification

Presenter
  • Robert Webber
May 25, 2022
IPAM
Eran Rabani - Stochastic Density Functional Theory Thumbnail

Eran Rabani - Stochastic Density Functional Theory

Presenter
  • Eran Rabani
May 23, 2022
IPAM

Integrating Artificial Intelligence / Machine Learning with 
Data Assimilation - towards the initialization of 
subseasonal-to-seasonal (S2S) prediction

Presenter
  • Steve Penny
August 23, 2021
ICERM
Sampling Beyond Log-concavity Thumbnail

Sampling Beyond Log-concavity

Presenter
  • Andrej Risteski
April 15, 2021
IMSI
Robust regression with covariate filtering: Heavy tails and adversarial contamination Thumbnail

Robust regression with covariate filtering: Heavy tails and adversarial contamination

Presenter
  • Po-Ling Loh
April 12, 2021
IMSI