Multiscale Invertible Generative Networks for High-Dimensional Bayesian Inference.
Shumao ZhangPengchuan ZhangThomas Y. HouPublished in: ICML (2021)
Keyphrases
- bayesian inference
- multiscale
- high dimensional
- probabilistic model
- hyperparameters
- prior information
- statistical inference
- bayesian model
- generative model
- variational inference
- hidden variables
- low dimensional
- image processing
- gibbs sampler
- markov chain monte carlo
- markov networks
- feature space
- weighted model counting
- dimensionality reduction
- pairwise
- network structure
- graph cuts
- scale space
- variational bayes
- bayesian models
- data sets
- hierarchical bayesian