An introduction to deep generative modeling

DOI10.1002/gamm.202100008arXiv2103.05180OpenAlexW3172949370MaRDI QIDQ6068234

Eldad Haber, Lars Ruthotto

Publication date: 15 December 2023

Published in: GAMM-Mitteilungen (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2103.05180

zbMATH Keywords

machine learningoptimal transportdeep learningvariational autoencodergenerative adversarial networkdeep generative modelsnormalizing flow

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Introductory exposition (textbooks, tutorial papers, etc.) pertaining to computer science (68-01) Numerical optimization and variational techniques (65K10)

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