Do Bayesian variational autoencoders know what they don't know?
Misha GlazunovApostolis ZarrasPublished in: UAI (2022)
Keyphrases
- denoising
- bayesian networks
- bayesian estimation
- image segmentation
- dirichlet process mixture models
- maximum likelihood
- posterior probability
- bayesian inference
- genetic algorithm
- bayesian decision
- posterior distribution
- bayesian learning
- variational methods
- framework for image segmentation
- feedforward neural networks
- bayesian model
- data driven
- free energy
- optical flow
- database