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Scalable Uncertainty Quantification for Deep Operator Networks using Randomized Priors.

Yibo YangGeorgios KissasParis Perdikaris
Published in: CoRR (2022)
Keyphrases
  • network design
  • social networks
  • computer networks
  • bayesian framework
  • belief functions
  • data sets
  • inherent uncertainty
  • learning algorithm
  • complex systems
  • complex networks
  • uncertain data
  • highly scalable
  • belief nets