329 citations · 1.3k across the 48 of their papers we have counts for
4 papers · 1 filter
Mutual information of spin systems from autoregressive neural networks
Piotr Białas, Piotr Korcyl, Tomasz Stebel
We describe a new direct method to estimate bipartite mutual information of a classical spin system based on Monte Carlo sampling enhanced by autoregressive neural networks. It all…
Simulating first-order phase transition with hierarchical autoregressive networks
Piotr Białas, Paulina Czarnota, Piotr Korcyl +1
We apply the Hierarchical Autoregressive Neural (HAN) network sampling algorithm to the two-dimensional -state Potts model and perform simulations around the phase transition at…
Hierarchical autoregressive neural networks for statistical systems
Piotr Białas, Piotr Korcyl, Tomasz Stebel
It was recently proposed that neural networks could be used to approximate many-dimensional probability distributions that appear e.g. in lattice field theories or statistical mech…
Analysis of autocorrelation times in Neural Markov Chain Monte Carlo simulations
Piotr Białas, Piotr Korcyl, Tomasz Stebel
We provide a deepened study of autocorrelations in Neural Markov Chain Monte Carlo (NMCMC) simulations, a version of the traditional Metropolis algorithm which employs neural netwo…