Rayleigh-Gauss-Newton optimization with enhanced sampling for variational Monte Carlo

19 June 2021

Papers citing "Rayleigh-Gauss-Newton optimization with enhanced sampling for variational Monte Carlo"

9 / 9 papers shown

Title
Better, Faster Fermionic Neural Networks J. Spencer David Pfau Aleksandar Botev W. Foulkes 19 46 0 13 Nov 2020
Geometry of learning neural quantum states Chae-Yeun Park M. Kastoryano 48 60 0 24 Oct 2019
Deep neural network solution of the electronic Schrödinger equation J. Hermann Zeno Schätzle Frank Noé 197 450 0 16 Sep 2019
Ab-Initio Solution of the Many-Electron Schrödinger Equation with Deep Neural Networks David Pfau J. Spencer A. G. Matthews W. Foulkes 67 456 0 05 Sep 2019
Quantum Natural Gradient J. Stokes J. Izaac N. Killoran Giuseppe Carleo 41 400 0 04 Sep 2019
On the Convergence of Adam and Beyond Sashank J. Reddi Satyen Kale Surinder Kumar 52 2,482 0 19 Apr 2019
Deep autoregressive models for the efficient variational simulation of many-body quantum systems Or Sharir Yoav Levine Noam Wies Giuseppe Carleo Amnon Shashua 97 188 0 11 Feb 2019
Optimizing Neural Networks with Kronecker-factored Approximate Curvature James Martens Roger C. Grosse ODL 67 999 0 19 Mar 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 811 149,474 0 22 Dec 2014