Model Uncertainty Estimation
Model Uncertainty Estimation is a methodological framework within risk estimation that quantifies the uncertainty associated with the structure, assumptions, and parameters of a predictive model, distinguishing it from other sources of uncertainty by focusing specifically on the reliability of the model itself rather than data or measurement variability.
539
Publications
31.2K
Citations
1.6K
Authors
701
Institutions
Publications per year
2017–2026
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Tsinghua University
Beijing, China
13 h-index
21 publications
2K citations

Centre National de la Recherche Scientifique
Paris, France
10 h-index
25 publications
2.3K citations

Delft University of Technology
Delft, The Netherlands
9 h-index
13 publications
722 citations
Virginia Tech
Blacksburg, United States
9 h-index
26 publications
533 citations

Cornell University
Ithaca, United States
9 h-index
15 publications
1.2K citations

Beihang University
Beijing, China
8 h-index
18 publications
660 citations
ETH Zurich
Zurich, Switzerland
8 h-index
12 publications
983 citations

Vanderbilt University
Nashville, United States
8 h-index
14 publications
971 citations
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20 publications · 1.9K citations
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Repository · 15 publications · 475 citations
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11 publications · 1.3K citations
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Repository · 10 publications · 495 citations
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9 publications · 382 citations
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