Differentiable samplers for deep latent variable models

Latent variable models are a popular class of models in statistics. Combined with neural networks to improve their expressivity, the resulting deep latent variable models have also found numerous applications in machine learning. A drawback of these models is that their likelihood function is intrac...

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Bibliographic Details
Published inPhilosophical transactions of the Royal Society of London. Series A: Mathematical, physical, and engineering sciences Vol. 381; no. 2247; p. 20220147
Main Authors Doucet, Arnaud, Moulines, Eric, Thin, Achille
Format Journal Article
LanguageEnglish
Published England The Royal Society 15.05.2023
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