What Are Bayesian Neural Network Posteriors Really Like?
Pavel IzmailovSharad VikramMatthew D. HoffmanAndrew Gordon WilsonPublished in: CoRR (2021)
Keyphrases
- neural network
- posterior distribution
- posterior probability
- bayesian inference
- back propagation
- probability distribution
- bayesian learning
- neural network model
- self organizing maps
- pattern recognition
- bayesian networks
- bayesian framework
- image reconstruction from projections
- maximum likelihood
- artificial neural networks
- network architecture
- bayesian analysis
- learning algorithm
- neural nets
- prediction model
- recurrent neural networks
- feed forward
- multi layer
- neural network is trained
- fuzzy logic
- training algorithm
- hybrid neural network
- gaussian processes
- pixel wise
- bayesian estimation
- hidden layer
- hyperparameters
- latent variables
- fault diagnosis
- generative model
- data driven
- prior knowledge
- support vector
- training data
- genetic algorithm