Context-aware surrogate modeling for balancing approximation and sampling costs in multi-fidelity importance sampling and Bayesian inverse problems. - Terrence Alsup; Benjamin Peherstorfer (CoRR, 2020)

Multilevel Stein variational gradient descent with applications to Bayesian inverse problems. - Terrence Alsup; Luca Venturi; Benjamin Peherstorfer (MSML, 2021)

Multi-Fidelity Covariance Estimation in the Log-Euclidean Geometry. - Aimee Maurais; Terrence Alsup; Benjamin Peherstorfer; Youssef M. Marzouk (ICML, 2023)

Context-Aware Surrogate Modeling for Balancing Approximation and Sampling Costs in Multifidelity Importance Sampling and Bayesian Inverse Problems. - Terrence Alsup; Benjamin Peherstorfer (SIAM/ASA J. Uncertain. Quantification, 2023)

Further analysis of multilevel Stein variational gradient descent with an application to the Bayesian inference of glacier ice models. - Terrence Alsup; Tucker Hartland; Benjamin Peherstorfer; Noemi Petra (Adv. Comput. Math., 2024)

Multifidelity Covariance Estimation via Regression on the Manifold of Symmetric Positive Definite Matrices. - Aimee Maurais; Terrence Alsup; Benjamin Peherstorfer; Youssef M. Marzouk (SIAM J. Math. Data Sci., 2025)