Markov chain generative adversarial neural networks for solving Bayesian inverse problems in physics applications.
Nikolaj Takata MückeBenjamin SanderseSander M. BohtéCornelis W. OosterleePublished in: Comput. Math. Appl. (2023)
Keyphrases
- markov chain
- inverse problems
- neural network
- image reconstruction
- steady state
- transition probabilities
- convex optimization
- global optimization
- state space
- monte carlo
- stationary distribution
- generative model
- monte carlo simulation
- random walk
- monte carlo method
- markov chain monte carlo
- pattern recognition
- posterior probability
- optimization methods
- optimization problems
- bayesian networks
- early vision
- transition matrix
- partial differential equations
- pairwise