Regularized Training of Intermediate Layers for Generative Models for Inverse Problems.
Sean GunnJorio CocolaPaul HandPublished in: Trans. Mach. Learn. Res. (2023)
Keyphrases
- generative model
- inverse problems
- deep belief networks
- image reconstruction
- convex optimization
- global optimization
- probabilistic model
- discriminative learning
- discriminatively trained
- discriminative models
- optimization methods
- restricted boltzmann machine
- prior knowledge
- training set
- partial differential equations
- deep learning
- early vision
- hierarchical hidden markov models
- optimization problems
- em algorithm
- machine learning
- generative and discriminative models
- conditional random fields
- unsupervised learning
- supervised learning
- semi supervised
- structured prediction
- training examples
- expectation maximization
- object detection
- bayesian networks
- image processing
- learning algorithm