Videos

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Designing protein models with machine learning and experimental data Thumbnail

Designing protein models with machine learning and experimental data

Presenter
  • Klara Bonneau
April 26, 2024
IMSI
Physical constraints in machine learning models of electronic and atomic interactions Thumbnail

Physical constraints in machine learning models of electronic and atomic interactions

Presenter
  • Boris Kozinsky
March 26, 2024
IMSI

Dynamics and symmetries in neural network learning

Presenter
  • Stefanie Jegelka
June 8, 2023
ICERM
Plenary Talk: Mathematics in Data Science: Advancing Scientific Discovery Thumbnail

Plenary Talk: Mathematics in Data Science: Advancing Scientific Discovery

Presenter
  • Rebecca Willett
June 8, 2023
IMSI

Local approximation of operators

Presenter
  • HRUSHIKESH MHASKAR
June 7, 2023
ICERM
Pascal Van Hentenryck - Fusing Machine Learning and Optimization - IPAM at UCLA Thumbnail

Pascal Van Hentenryck - Fusing Machine Learning and Optimization - IPAM at UCLA

Presenter
  • Pascal Van Hentenryck
March 1, 2023
IPAM
Rama Vasudevan - Advancing Microscopy with Machine Learning: Lessons from Scanning Probe Microscopy Thumbnail

Rama Vasudevan - Advancing Microscopy with Machine Learning: Lessons from Scanning Probe Microscopy

Presenter
  • Rama Vasudevan
November 29, 2022
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
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