On permutation symmetries in Bayesian neural network posteriors: a variational perspective.
Simone RossiAnkit SinghThomas HannaganPublished in: NeurIPS (2023)
Keyphrases
- neural network
- posterior distribution
- posterior probability
- bayesian inference
- bayesian networks
- free energy
- artificial neural networks
- back propagation
- neural network is trained
- viewpoint
- probability distribution
- gaussian processes
- bayesian estimation
- optical flow
- neural network model
- image segmentation
- latent variables
- fault diagnosis
- fuzzy logic
- feed forward
- multilayer perceptron
- recurrent neural networks
- prediction model
- bp neural network
- maximum likelihood
- decision theory
- variational methods
- bayesian model
- probabilistic model
- pattern recognition
- genetic algorithm