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
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
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
Mean field approximations via log-concavity, and a non-asymptotic perspective on mean field control Thumbnail

Mean field approximations via log-concavity, and a non-asymptotic perspective on mean field control

Presenter
  • Daniel Lacker
May 26, 2022
IMSI
Reinforcement Learning Algorithm for Mixed Mean Field Control Games Thumbnail

Reinforcement Learning Algorithm for Mixed Mean Field Control Games

Presenter
  • Jean-Pierre Fouque
May 26, 2022
IMSI
Assessing Transfer Learning Thumbnail

Assessing Transfer Learning

Presenter
  • Haoyang Cao
May 26, 2022
IMSI