Neural Network Renormalization Group

We present a variational renormalization group (RG) approach based on a reversible generative model with hierarchical architecture. The model performs hierarchical change-of-variables transformations from the physical space to a latent space with reduced mutual information. Conversely, the neural ne...

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Bibliographic Details
Published inPhysical review letters Vol. 121; no. 26; p. 260601
Main Authors Li, Shuo-Hui, Wang, Lei
Format Journal Article
LanguageEnglish
Published United States 28.12.2018
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