Preventing Catastrophic Forgetting using Prior Transfer in Physics Informed Bayesian Neural Networks.
Cedric Van HeckAnnelies CoeneGuillaume CrevecoeurPublished in: AIM (2022)
Keyphrases
- neural network
- bayesian methods
- bayesian model
- prior distribution
- prior probabilities
- pattern recognition
- back propagation
- maximum a posteriori
- artificial neural networks
- prior knowledge
- fuzzy logic
- neural network model
- posterior probability
- computer science
- self organizing maps
- recurrent neural networks
- prior information
- bayesian inference
- multilayer perceptron
- posterior distribution
- knowledge transfer
- data driven
- bayesian models
- artificial intelligence
- genetic algorithm
- image prior
- bayesian analysis
- fully bayesian
- conjugate priors
- incremental learning
- feed forward
- maximum likelihood
- learning algorithm
- multi layer
- network architecture
- activation function
- decision theory
- bayesian learning
- bayesian framework
- image restoration
- markov random field
- bayesian networks
- training data