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cond-mat.dis-nn2026
Maxwell's Demon in Markov Chain Monte Carlo: Cooling Information Flow and Entropy Balance
Masayuki Ohzeki
Markov chain Monte Carlo algorithms can be viewed as feedback devices that compare a proposed move with the target distribution and then accept or reject it. In this paper the Maxw…
cond-mat.dis-nn2026
Dynamical Criticality of a Machine-learning-assisted Monte Carlo algorithm for a Mean-Field Spin Glass model
Seiya Miyamoto, Masayuki Ohzeki, Yoshihiko Nishikawa
We critically assess the performance of an autoregressive generative neural network model by applying it to an antiferromagnetic Ising model on a random regular graph. We train the…