On permutation symmetries in Bayesian neural network posteriors: a variational perspective.
Simone RossiAnkit SinghThomas HannaganPublished in: CoRR (2023)
Keyphrases
- neural network
- posterior distribution
- posterior probability
- bayesian inference
- back propagation
- bayesian estimation
- bayesian learning
- artificial neural networks
- maximum likelihood
- neural network model
- neural network is trained
- fuzzy logic
- neural nets
- bayesian framework
- bayesian model
- multi layer
- feed forward
- free energy
- probability distribution
- viewpoint
- bayesian networks
- multilayer perceptron
- fuzzy artmap
- dirichlet process mixture models
- variational methods
- fermentation process
- pixel wise
- markov networks
- gaussian processes
- recurrent neural networks
- conditional probabilities
- parameter estimation
- pattern recognition
- image sequences
- image segmentation