Posterior sampling with CNN-based, Plug-and-Play regularization with applications to Post-Stack Seismic Inversion.
Muhammad IzzatullahTariq AlkhalifahJuan RomeroMiguel CorralesNick LuikenMatteo RavasiPublished in: CoRR (2022)
Keyphrases
- markov chain monte carlo
- seismic data
- cellular neural networks
- posterior distribution
- metropolis hastings
- sample size
- posterior probability
- random sampling
- image reconstruction
- probability distribution
- parameter space
- prior information
- signal processing
- bayesian networks
- proposal distribution
- regularization method
- sampling strategy
- multi class
- sampling methods
- sampling algorithm
- parameter selection
- game playing
- particle filter
- image processing
- latent variables
- bayesian framework