Adaptation Accelerating Sampling-based Bayesian Inference in Attractor Neural Networks.

Xingsi Dong Zilong Ji Tianhao Chu Tiejun Huang Wenhao Zhang Si Wu

Published 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