Videos

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Introduction to Interpretable Machine Learning IV Thumbnail

Introduction to Interpretable Machine Learning IV

Presenter
  • Cynthia Rudin
May 27, 2022
IAS
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
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
Marivi Fernandez Serra - Machine learning to improve the exchange and correlation functional in DFT Thumbnail

Marivi Fernandez Serra - Machine learning to improve the exchange and correlation functional in DFT

Presenter
  • Marivi Fernandez-Serra
May 26, 2022
IPAM
Bryan Clark - Variational Wavefunctions, Machine Learning Architecture for Fermions & Gauge Theories Thumbnail

Bryan Clark - Variational Wavefunctions, Machine Learning Architecture for Fermions & Gauge Theories

Presenter
  • Bryan Clark
May 26, 2022
IPAM
Brenda Rubenstein - Extending the Reach of Quantum Monte Carlo Methods via Machine Learning Thumbnail

Brenda Rubenstein - Extending the Reach of Quantum Monte Carlo Methods via Machine Learning

Presenter
  • Brenda Rubenstein
May 26, 2022
IPAM
Juan Carrasquilla - Variational Neural Annealing Thumbnail

Juan Carrasquilla - Variational Neural Annealing

Presenter
  • Juan Carrasquilla
May 25, 2022
IPAM
Jan Hermann - Neural-network wave functions for quantum chemistry Thumbnail

Jan Hermann - Neural-network wave functions for quantum chemistry

Presenter
  • Jan Hermann
May 25, 2022
IPAM
Robert Webber - Approximate matrix eigenvalues, subspace iteration w/ repeated random sparsification Thumbnail

Robert Webber - Approximate matrix eigenvalues, subspace iteration w/ repeated random sparsification

Presenter
  • Robert Webber
May 25, 2022
IPAM
Andrea Tirelli - Monte Carlo and Machine Learning Approaches in Quantum Mechanics - IPAM at UCLA Thumbnail

Andrea Tirelli - Monte Carlo and Machine Learning Approaches in Quantum Mechanics - IPAM at UCLA

Presenter
  • Andrea Tirelli
May 25, 2022
IPAM