Deep learning of dynamic subsurface flow via theory-guided generative adversarial network

Physics-Informed Generative Adversarial Networks for Stochastic Differential Equations

(2020) Liu Yang et al.   SIAM JOURNAL ON SCIENTIFIC COMPUTING

Deep learning of subsurface flow via theory-guided neural network

(2020) Nanzhe Wang et al.   JOURNAL OF HYDROLOGY

Physics-informed semantic inpainting: Application to geostatistical modeling

(2020) Qiang Zheng et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data

(2019) Yinhao Zhu et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Enforcing constraints for interpolation and extrapolation in Generative Adversarial Networks

(2019) Panos Stinis et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Enforcing statistical constraints in generative adversarial networks for modeling chaotic dynamical systems

(2019) Jin-Long Wu et al.   JOURNAL OF COMPUTATIONAL PHYSICS

A Survey on Transfer Learning

(2009) Sinno Jialin Pan et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING