Intermediate Layer Optimization for Inverse Problems using Deep Generative Models.
Giannis DarasJoseph DeanAjil JalalAlex DimakisPublished in: ICML (2021)
Keyphrases
- generative model
- inverse problems
- global optimization
- optimization problems
- optimization methods
- probabilistic model
- image reconstruction
- convex optimization
- discriminative learning
- discriminative models
- semi supervised
- conditional random fields
- hierarchical hidden markov models
- deep belief networks
- em algorithm
- prior knowledge
- generative and discriminative models
- optimization algorithm
- expectation maximization
- multi objective
- objective function
- bayesian networks
- metaheuristic
- object categories
- particle swarm optimization
- superpixels
- deep learning
- restricted boltzmann machine
- training data
- machine learning