Reparameterization is a mathematical transformation within curve modeling that alters the parameter domain of a curve representation while preserving its geometric shape, distinguishing it from other transformations by maintaining invariant the underlying curve geometry under a change of parameterization.
273
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24.7K
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702
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313
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Publications per year
2017–2026
118
Parents
Publications
273
Categorical Reparameterization with Gumbel-Softmax
Eric Jang, Shixiang Gu, Ben Poole · arXiv (Cornell University) · 2016 · 3.2K citations · Full text
Dynamic conditional random fields
Charles Sutton, Khashayar Rohanimanesh, Andrew McCallum · 2004 · 746 citations · Full text
1–5 of 273
Authors
702
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3
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1–5 of 702
Institutions
313
Stanford University
Stanford, United States
7 h-index
7 publications
1K citations
The University of Texas at Austin
Austin, United States
6 h-index
11 publications
353 citations
University of California San Diego
San Diego, United States
6 h-index
8 publications
745 citations
Tsinghua University
Beijing, China
5 h-index
31 publications
2.8K citations
University of Cambridge
Cambridge, United Kingdom
5 h-index
8 publications
133 citations
Google (United States)
Mountain View, United States
5 h-index
10 publications
2.4K citations
Chinese Academy of Sciences
Beijing, China
5 h-index
12 publications
652 citations
École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
5 h-index
7 publications
489 citations
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- arXiv (Cornell University)
Repository · 46 publications · 7.4K citations
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- Journal of High Energy Physics
JHEP · 8 publications · 340 citations
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- Neural Information Processing Systems
Conference · 5 publications · 1K citations
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- Journal of the American Statistical Association
5 publications · 582 citations
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- Nuclear Physics B
5 publications · 497 citations
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