Highly-Ccalable, Physics-Informed GANs for Learning Solutions of Stochastic PDEs.
Liu Yang PrabhatGeorge E. KarniadakisSean TreichlerThorsten KurthKeno FischerDavid A. Barajas-SolanoJoshua RomeroValentin ChuravyAlexandre M. TartakovskyMichael HoustonPublished in: DLS@SC (2019)
Keyphrases
- learning algorithm
- learning process
- supervised learning
- machine learning
- inductive inference
- partial differential equations
- learning systems
- learning automata
- elementary school
- learning community
- image denoising
- mobile learning
- unsupervised learning
- knowledge acquisition
- online learning
- active learning
- multi agent
- reinforcement learning