Explicitly antisymmetrized neural network layers for variational Monte Carlo simulation

7 December 2021

Papers citing "Explicitly antisymmetrized neural network layers for variational Monte Carlo simulation"

12 / 12 papers shown

Title
Highly Accurate Real-space Electron Densities with Neural Networks Lixue Cheng P. Szabó Zeno Schätzle Derk Kooi Jonas Köhler Klaas J. H. Giesbertz Frank Noé J. Hermann Paola Gori-Giorgi Adam Foster 42 4 0 02 Sep 2024
Neural Pfaffians: Solving Many Many-Electron Schrödinger Equations Nicholas Gao Stephan Günnemann 33 4 0 23 May 2024
A Kaczmarz-inspired approach to accelerate the optimization of neural network wavefunctions Gil Goldshlager Nilin Abrahamsen Lin Lin 44 9 0 18 Jan 2024
Forward Laplacian: A New Computational Framework for Neural Network-based Variational Monte Carlo Rui Li Hao-Tong Ye Du Jiang Xuelan Wen Chuwei Wang ... Xiang Li Di He Ji Chen Weiluo Ren Liwei Wang 41 10 0 17 Jul 2023
A Score-Based Model for Learning Neural Wavefunctions Xuan Zhang Shenglong Xu Shuiwang Ji DiffM 31 1 0 25 May 2023
Neural Wave Functions for Superfluids Wanqi Lou H. Sutterud G. Cassella W. Foulkes J. Knolle David Pfau J. Spencer 19 14 0 11 May 2023
Anti-symmetric Barron functions and their approximation with sums of determinants Nilin Abrahamsen Lin Lin 33 4 0 22 Mar 2023
A Self-Attention Ansatz for Ab-initio Quantum Chemistry Ingrid von Glehn J. Spencer David Pfau 23 60 0 24 Nov 2022
Sampling-free Inference for Ab-Initio Potential Energy Surface Networks Nicholas Gao Stephan Günnemann DiffM 44 18 0 30 May 2022
Efficient anti-symmetrization of a neural network layer by taming the sign problem Nilin Abrahamsen Lin Lin 30 0 0 24 May 2022
Gold-standard solutions to the Schrödinger equation using deep learning: How much physics do we need? Leon Gerard Michael Scherbela P. Marquetand Philipp Grohs AI4CE 43 34 0 19 May 2022
Deep neural network solution of the electronic Schrödinger equation J. Hermann Zeno Schätzle Frank Noé 149 446 0 16 Sep 2019