Meta-learning PINN loss functions. - Apostolos F. Psaros; Kenji Kawaguchi; George Em Karniadakis (J. Comput. Phys., 2022)

PICProp: Physics-Informed Confidence Propagation for Uncertainty Quantification. - Qianli Shen; Wai Hoh Tang; Zhun Deng; Apostolos F. Psaros; Kenji Kawaguchi (NeurIPS, 2023)

Uncertainty quantification in scientific machine learning: Methods, metrics, and comparisons. - Apostolos F. Psaros; Xuhui Meng; Zongren Zou; Ling Guo; George Em Karniadakis (J. Comput. Phys., 2023)

NeuralUQ: A Comprehensive Library for Uncertainty Quantification in Neural Differential Equations and Operators. - Zongren Zou; Xuhui Meng; Apostolos F. Psaros; George E. Karniadakis (SIAM Rev., 2024)