Hidden State Inference
Hidden State Inference is the computational process of determining the most probable sequence of unobserved states in a Hidden Markov Model given a sequence of observed emissions and the model’s parameters.
260
Publications
16K
Citations
762
Authors
311
Institutions
Publications per year
2017–2026
106
Parents
260
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
Neural Ordinary Differential Equations
Ricky T. Q. Chen, Yulia Rubanova, Jesse Bettencourt et al. · arXiv (Cornell University) · 2018 · 570 citations · Full text
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University at Buffalo, State University of New York, United States
3 publications · 363 citations
3
h-index
1–5 of 762
311
Massachusetts Institute of Technology
Cambridge, United States
9 h-index
16 publications
2.7K citations
Harvard University
Cambridge, United States
9 h-index
14 publications
1.7K citations

Centre National de la Recherche Scientifique
Paris, France
8 h-index
12 publications
962 citations
University of Cambridge
Cambridge, United Kingdom
7 h-index
23 publications
4.1K citations

University of Toronto
Toronto, Canada
7 h-index
13 publications
3.4K citations
University College London
London, United Kingdom
6 h-index
18 publications
2K citations
Carnegie Mellon University
Pittsburgh, United States
6 h-index
12 publications
601 citations
University of Oxford
Oxford, United Kingdom
5 h-index
8 publications
466 citations
1–8 of 311
Repository · 22 publications · 1.9K citations
16
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Conference · 5 publications · 261 citations
5
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4 publications · 324 citations
4
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AAP · 3 publications · 87 citations
3
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Repository · 3 publications · 74 citations
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