Videos

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Transfer learning in deep operator networks

Presenter
  • Somdatta Goswami
June 7, 2023
ICERM
Machine learning-enabled enhanced sampling in biomolecular simulation and data-driven design of self-assembling photonic crystals and optoelectonic π-conjugated oligopeptides Thumbnail

Machine learning-enabled enhanced sampling in biomolecular simulation and data-driven design of self-assembling photonic crystals and optoelectonic π-conjugated oligopeptides

Presenter
  • Andrew Ferguson
September 9, 2019
IPAM

Graph Algorithms and Graph Learning: A Two-Way Street

Presenter
  • Christian Schulz
July 2, 2026
ICERM
Maria Molina - Learning Without Labels: New Insights into Climate and Extremes - IPAM at UCLA Thumbnail

Maria Molina - Learning Without Labels: New Insights into Climate and Extremes - IPAM at UCLA

Presenter
  • Maria Molina
February 4, 2026
IPAM
Michael Scherbela - High accuracy wavefunctions using deep-learning-based variational Monte Carlo Thumbnail

Michael Scherbela - High accuracy wavefunctions using deep-learning-based variational Monte Carlo

Presenter
  • Michael Scherbela
May 27, 2022
IPAM
Julia Westermayr - Physically inspired machine learning for excited states Thumbnail

Julia Westermayr - Physically inspired machine learning for excited states

Presenter
  • Julia Westermayr
May 27, 2022
IPAM
Ilyes Batatia - Unified understanding of E(3)-Equivariant Interatomic Potentials Theory/Applications Thumbnail

Ilyes Batatia - Unified understanding of E(3)-Equivariant Interatomic Potentials Theory/Applications

Presenter
  • Ilyes Batatia
May 27, 2022
IPAM
Matthew Foulkes - Approximating Many-Electron Wave Functions using Neural Networks Thumbnail

Matthew Foulkes - Approximating Many-Electron Wave Functions using Neural Networks

Presenter
  • Matthew Foulkes
May 26, 2022
IPAM
Kieron Burke - Conditional probability density functional theory Thumbnail

Kieron Burke - Conditional probability density functional theory

Presenter
  • Kieron Burke
May 26, 2022
IPAM
David Ceperley - Quantum Monte Carlo and Machine Learning Simulations of Dense Hydrogen Thumbnail

David Ceperley - Quantum Monte Carlo and Machine Learning Simulations of Dense Hydrogen

Presenter
  • David Ceperley
May 26, 2022
IPAM
Mark Tuckerman - Quantum time correlation functions in an open-chain path integral distribution Thumbnail

Mark Tuckerman - Quantum time correlation functions in an open-chain path integral distribution

Presenter
  • Mark Tuckerman
May 26, 2022
IPAM
Lucas Wagner - Compact representations of excited states from QMC, as data for low-energy models Thumbnail

Lucas Wagner - Compact representations of excited states from QMC, as data for low-energy models

Presenter
  • Lucas Wagner
May 26, 2022
IPAM