Encoding the Latent Posterior of Bayesian Neural Networks for Uncertainty Quantification.
Gianni FranchiAndrei BursucEmanuel AldeaSéverine DubuissonIsabelle BlochPublished in: IEEE Trans. Pattern Anal. Mach. Intell. (2024)
Keyphrases
- neural network
- posterior distribution
- latent variables
- posterior probability
- decision theory
- dempster shafer
- bayesian framework
- probability distribution
- bayesian learning
- bayesian networks
- pattern recognition
- fuzzy logic
- bayesian estimation
- parameter estimation
- fault diagnosis
- gaussian process
- uncertain data
- conditional probabilities
- probabilistic model
- prior knowledge
- data driven
- expected utility
- markov chain monte carlo
- belief functions
- multi layer
- artificial neural networks
- self organizing maps
- back propagation
- maximum likelihood
- feed forward
- fuzzy systems
- support vector
- maximum a posteriori
- generative model
- possibility theory