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Ab-initio quantum chemistry with neural-network wavefunctions., , , , , , , and . CoRR, (2022)Learned Force Fields Are Ready For Ground State Catalyst Discovery., , , , , , , , and . CoRR, (2022)A Self-Attention Ansatz for Ab-initio Quantum Chemistry., , and . ICLR, OpenReview.net, (2023)The Highly Accurate N-DEterminant (HANDE) quantum Monte Carlo project: Open-source stochastic diagonalisation for quantum chemistry., , , , , , and . CoRR, (2014)Neural Wave Functions for Superfluids., , , , , , and . CoRR, (2023)Ab-Initio Solution of the Many-Electron Schrödinger Equation with Deep Neural Networks., , , and . CoRR, (2019)Better, Faster Fermionic Neural Networks., , , and . CoRR, (2020)Natural Quantum Monte Carlo Computation of Excited States., , , , and . CoRR, (2023)Discovering Quantum Phase Transitions with Fermionic Neural Networks., , , , , , and . CoRR, (2022)Ab-Initio Solution of the Many-Electron Schrödinger Equation with Deep Neural Networks, , , and . (2019)cite arxiv:1909.02487.