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Hierarchical autoregressive neural networks for statistical systems

Hierarchical autoregressive neural networks for statistical systems

21 March 2022
P. Białas
P. Korcyl
T. Stebel
ArXivPDFHTML

Papers citing "Hierarchical autoregressive neural networks for statistical systems"

6 / 6 papers shown
Title
Flow-based sampling in the lattice Schwinger model at criticality
Flow-based sampling in the lattice Schwinger model at criticality
M. S. Albergo
D. Boyda
Kyle Cranmer
D. Hackett
G. Kanwar
S. Racanière
Danilo Jimenez Rezende
F. Romero-López
P. Shanahan
Julian M. Urban
31
35
0
23 Feb 2022
Analysis of autocorrelation times in Neural Markov Chain Monte Carlo
  simulations
Analysis of autocorrelation times in Neural Markov Chain Monte Carlo simulations
P. Białas
P. Korcyl
T. Stebel
42
9
0
19 Nov 2021
Equivariant flow-based sampling for lattice gauge theory
Equivariant flow-based sampling for lattice gauge theory
G. Kanwar
M. S. Albergo
D. Boyda
Kyle Cranmer
D. Hackett
S. Racanière
Danilo Jimenez Rezende
P. Shanahan
AI4CE
45
175
0
13 Mar 2020
Flow-based generative models for Markov chain Monte Carlo in lattice
  field theory
Flow-based generative models for Markov chain Monte Carlo in lattice field theory
M. S. Albergo
G. Kanwar
P. Shanahan
AI4CE
46
218
0
26 Apr 2019
Solving Statistical Mechanics Using Variational Autoregressive Networks
Solving Statistical Mechanics Using Variational Autoregressive Networks
Dian Wu
Lei Wang
Pan Zhang
61
184
0
27 Sep 2018
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.4K
149,842
0
22 Dec 2014
1