A Symmetry-Aware Exploration of Bayesian Neural Network Posteriors.
Olivier LaurentEmanuel AldeaGianni FranchiPublished in: CoRR (2023)
Keyphrases
- neural network
- posterior distribution
- posterior probability
- bayesian inference
- bayesian networks
- data driven
- bayesian learning
- artificial neural networks
- probability distribution
- bp neural network
- neural network is trained
- genetic algorithm
- neural network model
- symmetry detection
- back propagation
- fuzzy logic
- maximum likelihood
- bayesian decision
- pattern recognition
- latent variables
- backpropagation neural network
- fault diagnosis
- bayesian estimation
- feedforward neural networks
- decision theory
- fuzzy artmap
- symmetry breaking
- neural model
- feed forward neural networks
- network architecture
- image segmentation
- associative memory
- data sets
- probability density function
- prior information