James S. Spencer

According to our database, James S. Spencer authored at least 9 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Natural Quantum Monte Carlo Computation of Excited States.

David Pfau, Simon Axelrod, Halvard Sutterud, Ingrid von Glehn, James S. Spencer

CoRR, 2023

Neural Wave Functions for Superfluids.

Wan Tong Lou, Halvard Sutterud, Gino Cassella, W. Matthew C. Foulkes, Johannes Knolle, David Pfau, James S. Spencer

CoRR, 2023

A Self-Attention Ansatz for Ab-initio Quantum Chemistry.

Ingrid von Glehn, James S. Spencer, David Pfau

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Learned Force Fields Are Ready For Ground State Catalyst Discovery.

Michael Schaarschmidt, Morgane Riviere, Alex M. Ganose, James S. Spencer, Alexander L. Gaunt, James Kirkpatrick, Simon Axelrod, Peter W. Battaglia, Jonathan Godwin

CoRR, 2022

Ab-initio quantum chemistry with neural-network wavefunctions.

Jan Hermann, James S. Spencer, Kenny Choo, Antonio Mezzacapo, W. Matthew C. Foulkes, David Pfau, Giuseppe Carleo, Frank Noé

CoRR, 2022

Discovering Quantum Phase Transitions with Fermionic Neural Networks.

Gino Cassella, Halvard Sutterud, Sam Azadi, N. D. Drummond, David Pfau, James S. Spencer, W. Matthew C. Foulkes

CoRR, 2022

2020

Better, Faster Fermionic Neural Networks.

James S. Spencer, David Pfau, Aleksandar Botev, W. Matthew C. Foulkes

CoRR, 2020

2019

Ab-Initio Solution of the Many-Electron Schrödinger Equation with Deep Neural Networks.

David Pfau, James S. Spencer, Alexander G. de G. Matthews, W. Matthew C. Foulkes

CoRR, 2019

2014

The Highly Accurate N-DEterminant (HANDE) quantum Monte Carlo project: Open-source stochastic diagonalisation for quantum chemistry.

James S. Spencer, N. S. Blunt, W. A. Vigor, F. D. Malone, W. Matthew C. Foulkes, James J. Shepherd, A. J. W. Thom

CoRR, 2014