| Context-aware surrogate modeling for balancing approximation and sampling costs in multifidelity importance sampling and bayesian inverse problems T Alsup, B Peherstorfer SIAM/ASA Journal on Uncertainty Quantification 11 (1), 285-319, 2023 | 16 | 2023 |
| Multilevel Stein variational gradient descent with applications to Bayesian inverse problems T Alsup, L Venturi, B Peherstorfer Mathematical and Scientific Machine Learning, 93-117, 2022 | 8 | 2022 |
| Multi-fidelity covariance estimation in the log-euclidean geometry A Maurais, T Alsup, B Peherstorfer, Y Marzouk International Conference on Machine Learning, 24214-24235, 2023 | 3 | 2023 |
| Multifidelity Covariance Estimation via Regression on the Manifold of Symmetric Positive Definite Matrices A Maurais, T Alsup, B Peherstorfer, Y Marzouk arXiv preprint arXiv:2307.12438, 2023 | 1 | 2023 |
| Further analysis of multilevel Stein variational gradient descent with an application to the Bayesian inference of glacier ice models T Alsup, T Hartland, B Peherstorfer, N Petra arXiv preprint arXiv:2212.03366, 2022 | 1 | 2022 |
| Trading off Deterministic Approximations and Sampling in Multifidelity Bayesian Inference T Alsup New York University, 2023 | | 2023 |
| Expected information gain estimates and Bayesian optimal experimental design. T Alsup, T Catanach Sandia National Lab.(SNL-NM), Albuquerque, NM (United States); Sandia …, 2021 | | 2021 |
| Multilevel Stein variational gradient descent with applications to Bayesian inverse problems T Alsup, L Venturi, B Peherstorfer arXiv preprint arXiv:2104.01945, 2021 | | 2021 |
