Multi-variance replica exchange stochastic gradient MCMC for inverse and forward Bayesian physics-informed neural network.
Guang LinYating WangZecheng ZhangPublished in: CoRR (2021)
Keyphrases
- stochastic gradient
- neural network
- posterior distribution
- markov chain monte carlo
- posterior probability
- stochastic gradient descent
- nearest neighbor classifier
- bayesian inference
- maximum likelihood
- genetic algorithm
- bayesian networks
- monte carlo
- approximate inference
- step size
- graphical models
- grassmann manifold
- generative model
- markov chain
- bayesian framework
- knn
- support vector
- decision trees