 Multifidelity linear regression for scientific machine learning from
scarce dataFoundations of Data Science (FDS), 2024 |
 Further analysis of multilevel Stein variational gradient descent with
an application to the Bayesian inference of glacier ice modelsAdvances in Computational Mathematics (ACM), 2022 |
 Context-aware learning of hierarchies of low-fidelity models for
multi-fidelity uncertainty quantificationComputer Methods in Applied Mechanics and Engineering (CMAME), 2022 |
 Lasso Monte Carlo, a Variation on Multi Fidelity Methods for High
Dimensional Uncertainty QuantificationJournal of Applied Statistics (J. Appl. Stat.), 2022 |
 Context-aware controller inference for stabilizing dynamical systems
from scarce dataProceedings of the Royal Society A (Proc. R. Soc. A), 2022 |
 Multilevel Stein variational gradient descent with applications to
Bayesian inverse problemsMathematical and Scientific Machine Learning (MSML), 2021 |