Weak neural variational inference for solving Bayesian inverse problems without forward models: applications in elastography.
Vincent C. ScholzYaohua ZangPhaedon-Stelios KoutsourelakisPublished in: CoRR (2024)
Keyphrases
- variational inference
- bayesian inference
- probabilistic model
- inverse problems
- posterior distribution
- mixture model
- gaussian process
- topic models
- statistical models
- variational methods
- image reconstruction
- model selection
- bayesian networks
- posterior probability
- probabilistic graphical models
- parameter estimation
- closed form
- latent dirichlet allocation
- probability distribution
- prior knowledge