70 citations · 110 across the 6 of their papers we have counts for
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cond-mat.stat-mech2020★ 16 cited
Machine-Learning Study using Improved Correlation Configuration and Application to Quantum Monte Carlo Simulation
Yusuke Tomita, Kenta Shiina, Yutaka Okabe +1
We use the Fortuin-Kasteleyn representation based improved estimator of the correlation configuration as an alternative to the ordinary correlation configuration in the machine-lea…
cond-mat.stat-mech2020★ 70 cited
Machine-Learning Studies on Spin Models
Kenta Shiina, Hiroyuki Mori, Yutaka Okabe +1
With the recent developments in machine learning, Carrasquilla and Melko have proposed a paradigm that is complementary to the conventional approach for the study of spin models. A…