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Plenary Talk: Mathematics in Data Science: Advancing Scientific Discovery
Presenter
- Rebecca Willett
June 8, 2023
IMSI
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
Presenter
- Rama Vasudevan
November 29, 2022
IPAM
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
Presenter
- Matthew Foulkes
May 26, 2022
IPAM
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
Presenter
- David Ceperley
May 26, 2022
IPAM
Mark Tuckerman - Quantum time correlation functions in an open-chain path integral distribution
Presenter
- Mark Tuckerman
May 26, 2022
IPAM
Marivi Fernandez Serra - Machine learning to improve the exchange and correlation functional in DFT
Presenter
- Marivi Fernandez-Serra
May 26, 2022
IPAM
Brenda Rubenstein - Extending the Reach of Quantum Monte Carlo Methods via Machine Learning
Presenter
- Brenda Rubenstein
May 26, 2022
IPAM