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Discovering stochastic partial differential equations from limited data using variational Bayes inference.

Yogesh Chandrakant MathpatiTapas TripuraRajdip NayekSouvik Chakraborty
Published in: CoRR (2023)
Keyphrases
  • partial differential equations
  • variational bayes
  • multiscale
  • missing data
  • missing values
  • bayesian networks
  • object recognition
  • high dimensional data