Variational Bayes Deep Operator Network: A data-driven Bayesian solver for parametric differential equations.

Shailesh Garg Souvik Chakraborty

Published in: CoRR (2022)

Keyphrases

differential equations
data driven
variational bayes
bayesian learning
posterior distribution
bayesian inference
dynamical systems
latent variables
hyperparameters
free energy
neural network
maximum likelihood
posterior probability