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Authors
Vyron Arvanitis (0009-0001-2290-5084), Angelos Aslanidis (0009-0009-6699-2691), Emanuel Sommer (0000-0002-1606-7547), David Rügamer (0000-0002-8772-9202)
Citation
Arvanitis et al., (2026). bde: A Python Package for Bayesian Deep Ensembles via MILE. Journal of Open Source Software, 11(124), 10653, https://doi.org/10.21105/joss.10653
@article{Arvanitis2026,
doi = {10.21105/joss.10653},
url = {https://doi.org/10.21105/joss.10653},
year = {2026},
publisher = {The Open Journal},
volume = {11},
number = {124},
pages = {10653},
author = {Arvanitis, Vyron and Aslanidis, Angelos and Sommer, Emanuel and Rügamer, David},
title = {bde: A Python Package for Bayesian Deep Ensembles via MILE},
journal = {Journal of Open Source Software}
}
Tags
machine learning MCMC Bayesian deep learning uncertainty quantification
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This work is licensed under a Creative Commons Attribution 4.0 International License.
