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Reliable uncertainty estimates in deep learning with efficient Metropolis-Hastings algorithms

Crossref DOI link: https://doi.org/10.1038/s41467-026-70015-z

Published Online: 2026-03-17

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Schmal, Matthias https://orcid.org/0009-0006-0116-1238
Mäder, Patrick https://orcid.org/0000-0001-6871-2707
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Text and Data Mining valid from 2026-03-17

Version of Record valid from 2026-03-17
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Article History

Received: 5 February 2025

Accepted: 13 February 2026

First Online: 17 March 2026

Competing interests

: The authors declare no competing interests.