Adaptation Accelerating Sampling-based Bayesian Inference in Attractor Neural Networks.
Xingsi DongZilong JiTianhao ChuTiejun HuangWenhao ZhangSi WuPublished in: NeurIPS (2022)
Keyphrases
- bayesian inference
- neural network
- markov chain monte carlo
- probabilistic model
- prior information
- cellular automata
- hyperparameters
- bayesian model
- fixed point
- artificial neural networks
- statistical inference
- variational bayes
- variational inference
- back propagation
- probabilistic modeling
- monte carlo
- particle filter
- hierarchical bayesian
- variational approximation
- gibbs sampler
- weighted model counting
- bayesian models
- neural network model
- dynamical systems
- competitive learning
- model selection
- search algorithm
- image segmentation