Do Bayesian Variational Autoencoders Know What They Don't Know?
Misha GlazunovApostolis ZarrasPublished in: CoRR (2022)
Keyphrases
- denoising
- image segmentation
- bayesian networks
- bayesian estimation
- maximum likelihood
- data sets
- dirichlet process mixture models
- posterior probability
- data driven
- posterior distribution
- bayesian model
- free energy
- methods in computer vision
- framework for image segmentation
- artificial neural networks
- image processing
- decision making
- markov chain monte carlo
- bayesian learning
- neural network
- real time