 Dimensionality reduction can be used as a surrogate model for high-dimensional forward uncertainty quantificationReliability Engineering & System Safety (Reliab. Eng. Syst. Saf.), 2024 |
 Uncertainty Quantification in Machine Learning for Engineering Design
and Health Prognostics: A TutorialMechanical systems and signal processing (MSSP), 2023 |
 Probabilistic learning on manifolds constrained by nonlinear partial
differential equations for small datasetsComputer Methods in Applied Mechanics and Engineering (CMAME), 2020 |
 Probabilistic Learning on ManifoldsFoundations of Data Science (FDS), 2020 |
 Sampling of Bayesian posteriors with a non-Gaussian probabilistic
learning on manifolds from a small datasetStatistics and computing (Stat. Comput.), 2019 |