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"Similarity-based uncertainty scores for interpretable deep learning in ..."

Lilly Roelofs et al. (2022)

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DOI: 10.1145/3477314.3507232

access: closed

type: Conference or Workshop Paper

metadata version: 2024-01-10

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  dblp key:
  - conf/sac/RoelofsWRFT22
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Lilly Roelofs, Claire Weissman, Daniela Raicu, Jacob Furst, Roselyne Tchoua:
Similarity-based uncertainty scores for interpretable deep learning in scientific applications. SAC 2022: 1152-1155

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