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A Kaczmarz-inspired approach to accelerate the optimization of neural
  network wavefunctions

A Kaczmarz-inspired approach to accelerate the optimization of neural network wavefunctions

18 January 2024
Gil Goldshlager
Nilin Abrahamsen
Lin Lin
ArXivPDFHTML

Papers citing "A Kaczmarz-inspired approach to accelerate the optimization of neural network wavefunctions"

4 / 4 papers shown
Title
Gold-standard solutions to the Schrödinger equation using deep
  learning: How much physics do we need?
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
Gradient Descent on Neurons and its Link to Approximate Second-Order
  Optimization
Gradient Descent on Neurons and its Link to Approximate Second-Order Optimization
Frederik Benzing
ODL
43
23
0
28 Jan 2022
Explicitly antisymmetrized neural network layers for variational Monte
  Carlo simulation
Explicitly antisymmetrized neural network layers for variational Monte Carlo simulation
Jeffmin Lin
Gil Goldshlager
Lin Lin
43
22
0
07 Dec 2021
Deep neural network solution of the electronic Schrödinger equation
Deep neural network solution of the electronic Schrödinger equation
J. Hermann
Zeno Schätzle
Frank Noé
149
448
0
16 Sep 2019
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