Improving Bayesian Neural Networks by Adversarial Sampling.
Jiaru ZhangYang HuaTao SongHao WangZhengui XueRuhui MaHaibing GuanPublished in: AAAI (2022)
Keyphrases
- neural network
- pattern recognition
- artificial neural networks
- machine learning
- genetic algorithm
- bayesian networks
- multi agent
- sequential monte carlo
- random sampling
- back propagation
- self organizing maps
- sampling algorithm
- multi layer
- neural network model
- fault diagnosis
- sample size
- sufficient conditions
- maximum likelihood
- fuzzy logic
- sampling strategies
- bayesian estimation
- bayesian decision
- bayesian learning
- decision theory
- gaussian processes
- training process
- recurrent neural networks
- monte carlo