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)

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)

Better, Faster Fermionic Neural Networks. - James S. Spencer; David Pfau; Aleksandar Botev; W. Matthew C. Foulkes (CoRR, 2020)

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)

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)

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)

A Self-Attention Ansatz for Ab-initio Quantum Chemistry. - Ingrid von Glehn; James S. Spencer; David Pfau (ICLR, 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)

Natural Quantum Monte Carlo Computation of Excited States. - David Pfau; Simon Axelrod; Halvard Sutterud; Ingrid von Glehn; James S. Spencer (CoRR, 2023)