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"Is Epistemic Uncertainty Faithfully Represented by Evidential Deep ..."

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

Mira Jürgens et al. (2024)

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DOI: —

access: open

type: Conference or Workshop Paper

metadata version: 2026-02-09

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  - electronic edition @ mlr.press (open access)
  - electronic edition @ openreview.net (open access)
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  dblp key:
  - conf/icml/JurgensMBHW24
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  persistent URL:
  - https://dblp.org/rec/conf/icml/JurgensMBHW24
Mira Jürgens, Nis Meinert, Viktor Bengs, Eyke Hüllermeier, Willem Waegeman:
Is Epistemic Uncertainty Faithfully Represented by Evidential Deep Learning Methods? ICML 2024: 22624-22642

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last updated on 2026-02-09 17:23 CET by the dblp team

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