Videos

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Properties of Atoms in Molecules via Machine Learning Thumbnail

Properties of Atoms in Molecules via Machine Learning

Presenter
  • Matthias Rupp
February 25, 2015
IPAM
Finding density functionals with machine learning Thumbnail

Finding density functionals with machine learning

Presenter
  • Kieron Burke
February 23, 2015
IPAM
A Geometric perspective on machine Learning Thumbnail

A Geometric perspective on machine Learning

Presenter
  • Partha Niyogi
October 27, 2008
IMA
Roman Grigoriev - Bridging scales using physically-informed machine learning - IPAM at UCLA Thumbnail

Roman Grigoriev - Bridging scales using physically-informed machine learning - IPAM at UCLA

Presenter
  • Roman Grigoriev
October 10, 2025
IPAM
Li Wang - Learning-enhanced structure preserving particle methods for Landau equation - IPAM at UCLA Thumbnail

Li Wang - Learning-enhanced structure preserving particle methods for Landau equation - IPAM at UCLA

Presenter
  • Li Wang
July 15, 2025
IPAM
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
Zoe Holmes - Exponential Concentration in Quantum Generative Modeling and Quantum Kernel Methods Thumbnail

Zoe Holmes - Exponential Concentration in Quantum Generative Modeling and Quantum Kernel Methods

Presenter
  • Zoe Holmes
October 17, 2023
IPAM
Murmurations of Arithmetic L-functions Thumbnail

Murmurations of Arithmetic L-functions

Presenter
  • Andrew Sutherland
April 24, 2023
IAS
Learning with few labeled data Thumbnail

Learning with few labeled data

Presenter
  • Pratik Chaudhari
April 23, 2020
IPAM
Learning structured models of physics Thumbnail

Learning structured models of physics

Presenter
  • Peter Battaglia
October 16, 2019
IPAM
Statistical Relational Learning with Graph Neural Networks Thumbnail

Statistical Relational Learning with Graph Neural Networks

Presenter
  • Mathias Niepert
May 22, 2019
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