Riemannian Laplace approximations for Bayesian neural networks.
Federico BergaminPablo Moreno-MuñozSøren HaubergGeorgios ArvanitidisPublished in: CoRR (2023)
Keyphrases
- neural network
- expectation propagation
- bayesian inference
- pattern recognition
- genetic algorithm
- gaussian process
- fuzzy logic
- competitive learning
- density estimation
- back propagation
- shape analysis
- neural nets
- manifold learning
- posterior probability
- self organizing maps
- bayesian methods
- bayesian learning
- approximate inference
- posterior distribution
- information geometry
- feed forward
- maximum likelihood
- artificial neural networks
- bayesian networks
- euclidean space
- recurrent neural networks
- multi layer
- multilayer perceptron
- radial basis function
- fault diagnosis
- geodesic distance
- model selection
- riemannian manifolds
- fisher information
- euclidean metric