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Deep Anti-Regularized Ensembles provide reliable out-of-distribution uncertainty quantification.

Antoine de MathelinFrançois DeheegerMathilde MougeotNicolas Vayatis
Published in: CoRR (2023)
Keyphrases
  • real time
  • databases
  • machine learning
  • decision making
  • website
  • clustering algorithm
  • case study
  • high quality
  • artificial neural networks
  • data distribution
  • cost effective
  • belief functions
  • uniformly distributed