Quantification of Deep Neural Network Prediction Uncertainties for VVUQ of Machine Learning Models. - Mahmoud Yaseen; Xu Wu (CoRR, 2022)

Functional PCA and Deep Neural Networks-based Bayesian Inverse Uncertainty Quantification with Transient Experimental Data. - Ziyu Xie; Mahmoud Yaseen; Xu Wu (CoRR, 2023)

Fast and Accurate Reduced-Order Modeling of a MOOSE-based Additive Manufacturing Model with Operator Learning. - Mahmoud Yaseen; Dewen Yushu; Peter German; Xu Wu (CoRR, 2023)

Reduced Order Modeling of a MOOSE-based Advanced Manufacturing Model with Operator Learning. - Mahmoud Yaseen; Dewen Yushu; Peter German; Xu Wu (CoRR, 2023)

An Investigation on Machine Learning Predictive Accuracy Improvement and Uncertainty Reduction using VAE-based Data Augmentation. - Farah Alsafadi; Mahmoud Yaseen; Xu Wu (CoRR, 2024)