A framework for data-driven solution and parameter estimation of PDEs using conditional generative adversarial networks.
Teeratorn KadeethumDaniel O'MalleyJan Niklas FuhgYoungsoo ChoiJonghyun LeeHari S. ViswanathanNikolaos BouklasPublished in: Nat. Comput. Sci. (2021)
Keyphrases
- parameter estimation
- data driven
- maximum likelihood
- statistical models
- em algorithm
- markov random field
- least squares
- parameter values
- expectation maximization
- model selection
- random fields
- posterior distribution
- parameter estimation algorithm
- generative model
- level set
- bayesian framework
- estimation problems
- bayesian model selection