Generalized Parallel Tempering on Bayesian Inverse Problems.
Jonas LatzJuan P. Madrigal-CianciFabio NobileRaúl TemponePublished in: CoRR (2020)
Keyphrases
- inverse problems
- bayesian inference
- markov chain monte carlo
- image reconstruction
- global optimization
- convex optimization
- probabilistic model
- optimization methods
- partial differential equations
- restricted boltzmann machine
- posterior distribution
- hyperparameters
- optimization problems
- prior information
- early vision
- bayesian networks
- posterior probability
- monte carlo
- markov chain
- smoothness constraint
- computationally expensive
- generative model
- multiscale
- stereo matching
- parameter space
- bayesian framework
- particle filter
- super resolution
- least squares
- deep learning
- optical flow