Kohn-Sham equations as regularizer: building prior knowledge into machine-learned physics.
Li LiStephan HoyerRyan PedersonRuoxi SunEkin D. CubukPatrick RileyKieron BurkePublished in: CoRR (2020)
Keyphrases
- prior knowledge
- computer science
- domain knowledge
- semi supervised
- artificial intelligence
- prior information
- mathematical model
- real time
- differential equations
- latent variables
- generative model
- image restoration
- linear equations
- bayesian framework
- unlabeled data
- similarity measure
- computer vision
- learning algorithm
- databases