40 citations · 68 across the 13 of their papers we have counts for
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cond-mat.stat-mech2021★ 17 cited
Transfer learning of phase transitions in percolation and directed percolation
Jianmin Shen, Feiyi Liu, Shiyang Chen +6
The latest advances of statistical physics have shown remarkable performance of machine learning in identifying phase transitions. In this paper, we apply domain adversarial neural…
cond-mat.stat-mech2021
Machine learning of pair-contact process with diffusion
Jianmin Shen, Wei Li, Shengfeng Deng +3
The pair-contact process with diffusion (PCPD), a generalized model of the ordinary pair-contact process (PCP) without diffusion, exhibits a continuous absorbing phase transition.…
cond-mat.stat-mech2021★ 40 cited
Supervised and unsupervised learning of directed percolation
Jianmin Shen, Wei Li, Shengfeng Deng +1
Machine learning (ML) has been well applied to studying equilibrium phase transition models, by accurately predicating critical thresholds and some critical exponents. Difficulty w…