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08/25/2023
Training normalizing flows with computationally intensive target probability distributions
Machine learning techniques, in particular the so-called normalizing flo...
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04/26/2023
Mutual information of spin systems from autoregressive neural networks
We describe a direct approach to estimate bipartite mutual information o...
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12/09/2022
Simulating first-order phase transition with hierarchical autoregressive networks
We apply the Hierarchical Autoregressive Neural (HAN) network sampling a...
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03/21/2022
Hierarchical autoregressive neural networks for statistical systems
It was recently proposed that neural networks could be used to approxima...
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02/02/2022
Gradient estimators for normalising flows
Recently a machine learning approach to Monte-Carlo simulations called N...
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11/19/2021
Analysis of autocorrelation times in Neural Markov Chain Monte Carlo simulations
We provide a deepened study of autocorrelations in Neural Markov Chain M...
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10/08/2018