Dynamic Latent Variable Models
Dynamic Latent Variable Models is a type of latent variable model that incorporates temporal dependencies to capture evolving latent structures over time, distinguishing it from static counterparts by explicitly modeling the dynamics of latent variables across sequential observations.
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13.3K
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431
Authors
244
Institutions
Publications per year
2017–2026
76
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164
A Recurrent Latent Variable Model for Sequential Data
Jun‐Young Chung, Kyle Kastner, Laurent Dinh et al. · arXiv (Cornell University) · 2015 · 705 citations · Full text
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University of Southern California
Los Angeles, United States
9 h-index
15 publications
1.4K citations
State Key Laboratory of Industrial Control Technology
Hangzhou, China
5 h-index
11 publications
1K citations
Stanford University
Stanford, United States
5 h-index
7 publications
316 citations

Pennsylvania State University
State College, United States
5 h-index
6 publications
243 citations
University of Pennsylvania
Philadelphia, United States
4 h-index
4 publications
1.3K citations
Massachusetts Institute of Technology
Cambridge, United States
4 h-index
9 publications
1.3K citations
Chinese University of Hong Kong, Shenzhen
Shenzhen, China
4 h-index
5 publications
395 citations
University of California, Davis
Davis, United States
4 h-index
4 publications
77 citations
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SEM · 9 publications · 1.4K citations
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Repository · 9 publications · 730 citations
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Repository · 5 publications · 919 citations
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MBR · 4 publications · 496 citations
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JBES · 3 publications · 133 citations
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