Variational Density Estimation
Variational Density Estimation is a probabilistic density estimation method that formulates the approximation of an intractable data density as an optimization problem by minimizing the divergence between the true density and a parametrized family of approximate densities, typically using variational inference.
31
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1.3K
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92
Authors
46
Institutions
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2017–2026
17
Parents
31
Diederik P. Kingma, Tim Salimans, Ben Poole et al. · arXiv (Cornell University) · 2021 · 282 citations · Full text
Conditional Variational Image Deraining
Yingjun Du, Jun Xu, Xiantong Zhen et al. · IEEE Transactions on Image Processing · 2020 · 100 citations · Full text
VDPC: Variational density peak clustering algorithm
Yizhang Wang, Di Wang, You Zhou et al. · Information Sciences · 2022 · 79 citations
A Technical Critique of Some Parts of the Free Energy Principle
Martin Biehl, Felix A. Pollock, Ryota Kanai · Entropy · 2021 · 51 citations · Full text
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Google (United States)
Mountain View, United States
4 h-index
4 publications
131 citations
Université de Montréal
Montreal, Canada
3 h-index
7 publications
167 citations
Stanford University
Stanford, United States
2 h-index
8 publications
312 citations

UNSW Sydney
Sydney, Australia
2 h-index
4 publications
73 citations
Australian Institute of Business
Adelaide, Australia
2 h-index
4 publications
73 citations
National University of Singapore
Singapore, Singapore
2 h-index
3 publications
106 citations

Charles Sturt University
Bathurst, Australia
1 h-index
1 publications
94 citations

Pennsylvania State University
State College, United States
1 h-index
1 publications
32 citations
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Repository · 10 publications · 538 citations
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2 publications · 65 citations
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JCGS · 2 publications · 53 citations
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1 publications · 79 citations
1
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1 publications · 33 citations
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