Videos

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Nonlinear reduced-order modeling - Using machine learning to enable extreme-scale simulation for many-query problems

Presenter
  • Kevin Carlberg
January 29, 2019
ICERM
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
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
Intelligent learning: similarity control and knowledge transfer Thumbnail

Intelligent learning: similarity control and knowledge transfer

Presenter
  • Vladimir Vapnik
March 30, 2015
IAS
High-throughput Data and New representations for Models and Machine Learning Thumbnail

High-throughput Data and New representations for Models and Machine Learning

Presenter
  • Gus Hart
February 24, 2015
IPAM
Statistical Learning and Bayesian Inference and Topology Thumbnail

Statistical Learning and Bayesian Inference and Topology

Presenter
  • Sayan Mukherjee
October 2, 2013
IMA
A Neural Network Approach to Learning Steady States and Their Stability of Parametric Dynamical Systems Thumbnail

A Neural Network Approach to Learning Steady States and Their Stability of Parametric Dynamical Systems

Presenter
  • Xiaochuan Tian
May 15, 2024
IMSI
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