Videos

Start date cannot be after end date.
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
Multi-scale modeling of materials revisited: Accelerated computing and machine learning Thumbnail

Multi-scale modeling of materials revisited: Accelerated computing and machine learning

Presenter
  • Kaushik Bhattacharya
February 15, 2021
IMSI
Randomization, Neutrality, and Fairness: "Patience Ensures Fairness" Thumbnail

Randomization, Neutrality, and Fairness: "Patience Ensures Fairness"

Presenter
  • Florian Brandl
October 27, 2023
SLMath
Machine-learning for materials and physics discovery through symbolic regression and kernel methods Thumbnail

Machine-learning for materials and physics discovery through symbolic regression and kernel methods

Presenter
  • Richard Hennig
September 26, 2019
IPAM
Moving Lapack and ScaLapack to Higher Precision without Too Much Work Thumbnail

Moving Lapack and ScaLapack to Higher Precision without Too Much Work

Presenter
  • Yozo Hida
January 30, 2007
SLMath
Towards prediction uncertainty for computational physics-based models, agent-based models, and machine learning models Thumbnail

Towards prediction uncertainty for computational physics-based models, agent-based models, and machine learning models

Presenter
  • Dave Higdon
May 19, 2025
IMSI
Eduardo Siman - Image-to-Image Tropical Cyclone Wind Field Diagnosis - IPAM at UCLA Thumbnail

Eduardo Siman - Image-to-Image Tropical Cyclone Wind Field Diagnosis - IPAM at UCLA

Presenter
  • Eduardo Siman
February 4, 2026
IPAM
Boosting and Low-rank Thumbnail

Boosting and Low-rank

Presenter
  • Bin Yu
June 24, 2013
IMA
Learning from Conjugated Polymers: Statistical Data Mining from 50 Million and Counting Thumbnail

Learning from Conjugated Polymers: Statistical Data Mining from 50 Million and Counting

Presenter
  • Geoffrey Hutchison
December 6, 2016
IPAM
Sparse sampling methods for large scale experimental data Thumbnail

Sparse sampling methods for large scale experimental data

Presenter
  • Rick Archibald
January 30, 2017
IPAM

ML and AI in Combinatorics Research: Some Examples

Presenter
  • Blake Jackson
September 19, 2025
ICERM

Machine Learning & HPC Enabled Prediction in Tokamaks

Presenter
  • William Tang
September 13, 2025
ICERM