3 papers
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…
cond-mat.dis-nn2026
Phase transition in large language models and the criticality of natural languages
Kai Nakaishi, Yoshihiko Nishikawa, Koji Hukushima
Generation of text and speech in natural languages can be modeled as a stochastic process. This idea dates back to the seminal work of Markov and, later, to that of Shannon and als…
cond-mat.soft2025
Irreversible swap algorithms for soft sphere glasses
Yoshihiko Nishikawa, Federico Ghimenti, Ludovic Berthier +1
We extend to soft repulsive interaction potentials a recently proposed irreversible swap algorithm originally designed for polydisperse hard spheres. The original algorithm perform…