Enforcing Deterministic Constraints on Generative Adversarial Networks for Emulating Physical Systems

Zeng Yang, Jin-Long Wu, Heng Xiao

Generative adversarial networks (GANs) were initially proposed to generate images by learning from a large number of samples. Recently, GANs have been used to emulate complex physi…