| Introduction to Uncertainty Quantification TJ Sullivan Texts in Applied Mathematics 63, Springer, 2015 | 759 | 2015 |
| Building a Framework for Predictive Science M McKerns, L Strand, TJ Sullivan, A Fang, MAG Aivazis Proceedings of the 10th Python in Science Conference (SciPy 2011), June 2011 …, 2011 | 214 | 2011 |
| Bayesian probabilistic numerical methods J Cockayne, CJ Oates, TJ Sullivan, M Girolami SIAM Review 61 (4), 756-789, 2019 | 182 | 2019 |
| Optimal Uncertainty Quantification H Owhadi, C Scovel, TJ Sullivan, M McKerns, M Ortiz SIAM Review 55 (2), 271-345, 2013 | 169 | 2013 |
| A Modern Retrospective on Probabilistic Numerics CJ Oates, TJ Sullivan Statistics and Computing 29 (6), 1335-1351, 2019 | 81 | 2019 |
| On the Brittleness of Bayesian inference H Owhadi, C Scovel, TJ Sullivan SIAM Review 57 (4), 566-582, 2015 | 75 | 2015 |
| Brittleness of Bayesian inference under finite information in a continuous world H Owhadi, C Scovel, TJ Sullivan Electronic Journal of Statistics 9 (1), 1-79, 2015 | 67 | 2015 |
| Compression, inversion, and approximate PCA of dense kernel matrices at near-linear computational complexity F Schäfer, TJ Sullivan, H Owhadi Multiscale Modeling & Simulation 19 (2), 688-730, 2021 | 57 | 2021 |
| A rigorous theory of conditional mean embeddings I Klebanov, I Schuster, TJ Sullivan SIAM Journal on Mathematics of Data Science 2 (3), 583–606, 2020 | 46 | 2020 |
| Probabilistic numerical methods for PDE-constrained Bayesian inverse problems J Cockayne, C Oates, TJ Sullivan, M Girolami Proceedings of the 36th International Workshop on Bayesian Inference and …, 2017 | 45 | 2017 |
| Well-posed Bayesian inverse problems and heavy-tailed stable quasi-Banach space priors TJ Sullivan Inverse Problems and Imaging 11 (5), 857–874, 2017 | 44 | 2017 |
| Convergence rates of Gaussian ODE filters H Kersting, TJ Sullivan, P Hennig Statistics and Computing 30 (6), 1791-1816, 2020 | 42 | 2020 |
| Strong convergence rates of probabilistic integrators for ordinary differential equations HC Lie, AM Stuart, TJ Sullivan Statistics and Computing 29 (6), 1265-1283, 2019 | 34 | 2019 |
| Stratified graphene/noble metal systems for low-loss plasmonics applications L Rast, TJ Sullivan, VK Tewary Physical Review D 87 (4), 045428, 2013 | 34 | 2013 |
| Probabilistic meshless methods for partial differential equations and Bayesian inverse problems J Cockayne, C Oates, TJ Sullivan, M Girolami arXiv preprint arXiv:1605.07811, 2016 | 33 | 2016 |
| Implicit probabilistic integrators for ODEs O Teymur, HC Lie, TJ Sullivan, B Calderhead Advances in Neural Information Processing Systems 31 (NIPS 2018), 2018 | 32 | 2018 |
| Rigorous Model-Based Uncertainty Quantification with Application to Terminal Ballistics. Part I: Systems with Controllable Inputs and Small Scatter AA Kidane, A Lashgari, B Li, M McKerns, M Ortiz, H Owhadi, ... Journal of the Mechanics and Physics of Solids 60 (5), 983-1001, 2012 | 30 | 2012 |
| Learning linear operators: Infinite-dimensional regression as a well-behaved non-compact inverse problem M Mollenhauer, N Mücke, TJ Sullivan arXiv preprint arXiv:2211.08875, 2022 | 28 | 2022 |
| Rigorous Model-Based Uncertainty Quantification with Application to Terminal Ballistics. Part II: Systems with Uncontrollable Inputs and Large Scatter M Adams, A Lashgari, B Li, M McKerns, JM Mihaly, M Ortiz, H Owhadi, ... Journal of the Mechanics and Physics of Solids 60 (5), 1002, 2012 | 27 | 2012 |
| Random forward models and log-likelihoods in Bayesian inverse problems HC Lie, TJ Sullivan, AL Teckentrup SIAM/ASA Journal on Uncertainty Quantification 6 (4), 1600–1629, 2018 | 26 | 2018 |
Houman OwhadiProfessor of Applied and Computational Mathematics and Control and Dynamical Systems, California在 caltech.edu 的电子邮件经过验证
