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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
Presenter
- Matthew Foulkes
May 26, 2022
IPAM
Kieron Burke - Conditional probability density functional theory
Presenter
- Kieron Burke
May 26, 2022
IPAM
Lucas Wagner - Compact representations of excited states from QMC, as data for low-energy models
Presenter
- Lucas Wagner
May 26, 2022
IPAM
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
Presenter
- Brenda Rubenstein
May 26, 2022
IPAM
Jan Hermann - Neural-network wave functions for quantum chemistry
Presenter
- Jan Hermann
May 25, 2022
IPAM
Anouar Benali - multideterminant many-body methods to describe ground and excited state properties
Presenter
- Anouar Benali
May 25, 2022
IPAM
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
Presenter
- Andrea Tirelli
May 25, 2022
IPAM
Giuseppe Carleo - Fermionic neural-network quantum states
Presenter
- Giuseppe Carleo
May 24, 2022
IPAM