Revisiting Bayesian Autoencoders With MCMC.
Rohitash ChandraMahir JainManavendra MaharanaPavel N. KrivitskyPublished in: IEEE Access (2022)
Keyphrases
- posterior distribution
- markov chain monte carlo
- posterior probability
- bayesian inference
- markov chain
- denoising
- generative model
- parameter estimation
- probability distribution
- monte carlo
- data driven
- latent variables
- bayesian estimation
- bayesian framework
- bayesian learning
- bayesian networks
- metropolis hastings algorithm
- particle filtering
- maximum likelihood
- bayesian decision
- expectation maximization
- approximate inference
- gaussian processes
- least squares
- probabilistic model