ASPIRE: Iterative Amortized Posterior Inference for Bayesian Inverse Problems.
Rafael OrozcoAli SiahkoohiMathias LouboutinFelix J. HerrmannPublished in: CoRR (2024)
Keyphrases
- inverse problems
- markov chain monte carlo
- posterior distribution
- posterior probability
- image reconstruction
- global optimization
- bayesian inference
- bayesian networks
- convex optimization
- optimization problems
- optimization methods
- probabilistic model
- regularization methods
- probability distribution
- bayesian framework
- partial differential equations
- emission tomography
- latent variables
- maximum a posteriori
- early vision
- particle filter
- object recognition
- smoothness constraint