Bayesian Neural Network is a probabilistic machine learning model within the class of neural networks that incorporates Bayesian inference by placing prior distributions over the network’s weights and inferring posterior distributions over these weights given observed data, thereby quantifying uncertainty in predictions and parameters.
1.7K
Publications
118.4K
Citations
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Authors
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Institutions
Publications per year
2017–2026
933
Publications
1.7K
A Practical Bayesian Framework for Backpropagation Networks
David Mackay · Neural Computation · 1992 · 2.9K citations
Dlib-ml: A Machine Learning Toolkit
Davis E. King · 2009 · 2.9K citations
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Authors
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- JM
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- YG
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- RE
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- HT
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- YL
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Institutions
1.7K
University of Cambridge
Cambridge, United Kingdom
29 h-index
101 publications
12.8K citations
University of Toronto
Toronto, Canada
20 h-index
62 publications
4.4K citations
Massachusetts Institute of Technology
Cambridge, United States
20 h-index
98 publications
7.6K citations
University College London
London, United Kingdom
19 h-index
40 publications
2.6K citations
Stanford University
Stanford, United States
19 h-index
43 publications
5.1K citations
Imperial College London
London, United Kingdom
18 h-index
92 publications
5.8K citations
Google (United States)
Mountain View, United States
18 h-index
58 publications
9.4K citations
Centre National de la Recherche Scientifique
Paris, France
18 h-index
146 publications
11.9K citations
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Venues
- arXiv (Cornell University)
Repository · 225 publications · 22.1K citations
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- Neural Computation
20 publications · 7K citations
18
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- IEEE Access
23 publications · 1.4K citations
17
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- Neural Networks
18 publications · 1.2K citations
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- Proceedings of the AAAI Conference on Artificial Intelligence
Conference · 17 publications · 1K citations
15
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