Arbitrary conditional inference in variational autoencoders via fast prior network training.
Ga WuJustin DomkeScott SannerPublished in: Mach. Learn. (2022)
Keyphrases
- radial basis function network
- network structure
- bayesian model
- feedforward neural networks
- computer networks
- structured prediction
- training set
- recurrent networks
- output layer
- neural network
- network model
- training process
- multiscale
- multilayer neural network
- denoising
- complex networks
- bayesian inference
- nonmonotonic inference
- training algorithm
- probabilistic inference
- supervised learning
- prior knowledge
- image segmentation