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...

Celý popis

Podrobná bibliografia

Vydané v:	Physical review letters Ročník 121; číslo 26; s. 260601
Hlavní autori:	Li, Shuo-Hui, Wang, Lei
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States American Physical Society 28.12.2018
Predmet:	Computer simulation Distillation Free energy Independent variables Ising model Mathematical models Neural networks Training Upper bounds Wavelet analysis
ISSN:	0031-9007, 1079-7114, 1079-7114
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!