Invertible generative models for inverse problems: mitigating representation error and dataset bias.
Muhammad AsimMax DanielsOscar LeongAli AhmedPaul HandPublished in: ICML (2020)
Keyphrases
- generative model
- inverse problems
- probabilistic model
- representational power
- discriminative learning
- convex optimization
- conditional random fields
- image reconstruction
- hierarchical hidden markov models
- global optimization
- discriminative models
- image representation
- optimization methods
- generative and discriminative models
- prior knowledge
- object recognition
- expectation maximization
- object detection
- semi supervised