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: CoRR (2021)
Keyphrases
- parameter estimation
- data driven
- least squares
- maximum likelihood
- statistical models
- markov random field
- model selection
- expectation maximization
- em algorithm
- random fields
- parameter values
- probabilistic model
- parameters estimation
- model fitting
- maximum entropy
- approximate inference
- structure learning
- generative model
- gibbs sampling
- estimation problems
- numerical scheme
- data mining
- parameter estimation algorithm