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Analytically tractable heteroscedastic uncertainty quantification in Bayesian neural networks for regression tasks

Bhargob Deka, Luong Ha Nguyen and James Alexandre Goulet

Article (2023)

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Department: Department of Civil, Geological and Mining Engineering
PolyPublie URL: https://publications.polymtl.ca/57161/
Journal Title: Neurocomputing
Publisher: Elsevier
DOI: 10.1016/j.neucom.2023.127183
Official URL: https://doi.org/10.1016/j.neucom.2023.127183
Date Deposited: 29 Jan 2024 14:38
Last Modified: 05 Apr 2024 12:04
Cite in APA 7: Deka, B., Nguyen, L. H., & Goulet, J. A. (2023). Analytically tractable heteroscedastic uncertainty quantification in Bayesian neural networks for regression tasks. Neurocomputing, 127183 (20 pages). https://doi.org/10.1016/j.neucom.2023.127183

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