Multiscale Invertible Generative Networks for High-Dimensional Bayesian Inference.
Shumao ZhangPengchuan ZhangThomas Y. HouPublished in: CoRR (2021)
Keyphrases
- bayesian inference
- multiscale
- high dimensional
- probabilistic model
- prior information
- hyperparameters
- generative model
- variational bayes
- bayesian model
- variational inference
- markov networks
- hierarchical bayesian
- statistical inference
- gibbs sampler
- particle filter
- low dimensional
- high dimensional data
- image processing
- unsupervised learning
- dimensionality reduction
- feature space
- weighted model counting
- bayesian models
- network structure
- machine learning
- feature selection
- hidden variables
- expectation propagation
- graphical models
- image segmentation