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:	25 Sep 2024 16:49

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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