Exploring generative perspective of convolutional neural networks by learning random field models

DOI10.4310/SII.2018.V11.N3.A13OpenAlexW2889973013WikidataQ129227524 ScholiaQ129227524MaRDI QIDQ1782144

Ying Nian Wu, Yang Lu, Song-Chun Zhu, Ruiqi Gao

Publication date: 18 September 2018

Published in: Statistics and Its Interface (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.4310/sii.2018.v11.n3.a13

zbMATH Keywords

Langevin dynamicsMarkov random fieldsgenerative modelsenergy-based models

Mathematics Subject Classification ID

Statistics (62-XX)

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