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Lightning UQ Box: Uncertainty Quantification for Neural Networks

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Bibliographic Details
Published in:JMLR
Format: Online Article RSS Article
Published: 2026
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container_title JMLR
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discipline_display Engineering & Technology
discipline_facet Engineering & Technology
format Online Article
RSS Article
genre Journal Article
id rss_article:4669
institution FRELIP
journal_source_facet JMLR
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Lightning UQ Box: Uncertainty Quantification for Neural Networks
Artificial Intelligence & Machine Learning
Computer Science & IT
Engineering & Technology
sub_discipline_display Computer Science & IT
sub_discipline_facet Computer Science & IT
subject_display Artificial Intelligence & Machine Learning
Computer Science & IT
Engineering & Technology
Artificial Intelligence & Machine Learning
Computer Science & IT
Engineering & Technology
subject_facet Artificial Intelligence & Machine Learning
Computer Science & IT
Engineering & Technology
title Lightning UQ Box: Uncertainty Quantification for Neural Networks
title_auth Lightning UQ Box: Uncertainty Quantification for Neural Networks
title_full Lightning UQ Box: Uncertainty Quantification for Neural Networks
title_fullStr Lightning UQ Box: Uncertainty Quantification for Neural Networks
title_full_unstemmed Lightning UQ Box: Uncertainty Quantification for Neural Networks
title_short Lightning UQ Box: Uncertainty Quantification for Neural Networks
title_sort lightning uq box: uncertainty quantification for neural networks
topic Artificial Intelligence & Machine Learning
Computer Science & IT
Engineering & Technology
url http://jmlr.org/papers/v26/24-2110.html