Titlebook: Statistical Mechanics of Neural Networks; Haiping Huang Book 2021 Higher Education Press 2021 Unsupervised Learning.Mean-field Theory.Cavi

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Haiping Huangs for confronting models with data for the study of pattern-process linkages, bringing together divergent empirical and modelling methodologies to provide a fully integrated understanding of land degradation in978-94-007-9961-5978-94-007-5727-1

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老人病学

腐蚀

独轮车

Spin Glass Models and Cavity Method,these models belong to the category of multi-spin interaction models, originally studied in physics, later widely explored in the context of optimization problems in computer science, machine learning and computational neuroscience.

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Statistical Mechanics of Restricted Boltzmann Machine,til a very recent work (Huang in Phys. Rev. E 102:030301(R), 2020 [.]). Training RBMs plays an important role at the early stage of deep learning (Bengio et al. in Advances in Neural Information Processing Systems, pp. 153–160, 2007 [.]).

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Mean-Field Theory of Dimension Reduction,duce a framework based on mean-field theory to analyze the dimension reduction of data representation across layers (Huang in Phys. Rev. E 98:062313, 2018 [.]; Zhou and Huang in Phys. Rev. E 103:012315, 2021 [.]).