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1篇 您的检索式：作者名="Cyril Furtlehner"

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		题名	作者	年代	出处	被引量
	1	Restricted Boltzmann machine: Recent advances and mean-field theory显示文摘This review deals with restricted Boltzmann machine(RBM) under the light of statistical physics.The RBM is a classical family of machine learning(ML) models which played a central role in the development of deep learning.Viewing it as a spin glass model and exhibiting various links with other models of statistical physics,we gather recent results dealing with mean-field theory in this context.First the functioning of the RBM can be analyzed via the phase diagrams obtained for various statistical ensembles of RBM,leading in particular to identify a compositional phase where a small number of features or modes are combined to form complex patterns.Then we discuss recent works either able to devise mean-field based learning algorithms;either able to reproduce generic aspects of the learning process from some ensemble dynamics equations or/and from linear stability arguments.	Aurélien Decelle Cyril Furtlehner	2021	Chinese Physics B2021，30，4：	2

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