Wasserstein Generative Adversarial Uncertainty Quantification in Physics-Informed Neural Networks

Yihang Gao, Michael K. Ng

In this paper, we study a physics-informed algorithm for Wasserstein Generative Adversarial Networks (WGANs) for uncertainty quantification in solutions of partial differential equ…