Preconditioned training of normalizing flows for variational inference in inverse problems.
Ali SiahkoohiGabrio RizzutiMathias LouboutinPhilipp A. WitteFelix J. HerrmannPublished in: CoRR (2021)
Keyphrases
- inverse problems
- variational inference
- image reconstruction
- global optimization
- bayesian inference
- latent dirichlet allocation
- convex optimization
- probabilistic model
- topic models
- optimization problems
- closed form
- optimization methods
- mixture model
- gaussian process
- probabilistic graphical models
- posterior distribution
- partial differential equations
- training set
- variational methods
- feature selection
- maximum a posteriori
- exponential family
- latent variables
- computationally expensive
- generative model
- early vision
- semi supervised