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T. J. Sullivan
标题
引用次数
引用次数
年份
Introduction to Uncertainty Quantification
TJ Sullivan
Texts in Applied Mathematics 63, Springer, 2015
7352015
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
2082011
Bayesian probabilistic numerical methods
J Cockayne, CJ Oates, TJ Sullivan, M Girolami
SIAM Review 61 (4), 756-789, 2019
1752019
Optimal Uncertainty Quantification
H Owhadi, C Scovel, TJ Sullivan, M McKerns, M Ortiz
SIAM Review 55 (2), 271-345, 2013
1752013
A Modern Retrospective on Probabilistic Numerics
CJ Oates, TJ Sullivan
Statistics and Computing 29 (6), 1335-1351, 2019
782019
On the Brittleness of Bayesian inference
H Owhadi, C Scovel, TJ Sullivan
SIAM Review 57 (4), 566-582, 2015
742015
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
672015
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
572021
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
452017
Well-posed Bayesian inverse problems and heavy-tailed stable quasi-Banach space priors
TJ Sullivan
Inverse Problems and Imaging 11 (5), 857–874, 2017
422017
Convergence rates of Gaussian ODE filters
H Kersting, TJ Sullivan, P Hennig
Statistics and Computing 30 (6), 1791-1816, 2020
412020
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
412020
Stratified graphene/noble metal systems for low-loss plasmonics applications
L Rast, TJ Sullivan, VK Tewary
Physical Review D 87 (4), 045428, 2013
342013
Strong convergence rates of probabilistic integrators for ordinary differential equations
HC Lie, AM Stuart, TJ Sullivan
Statistics and Computing 29 (6), 1265-1283, 2019
332019
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
332016
Implicit probabilistic integrators for ODEs
O Teymur, HC Lie, TJ Sullivan, B Calderhead
Advances in Neural Information Processing Systems 31 (NIPS 2018), 2018
312018
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
302012
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
282012
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
242018
Probabilistic numerical methods for partial differential equations and Bayesian inverse problems
J Cockayne, C Oates, T Sullivan, M Girolami
arXiv preprint arXiv:1605.07811, 2016
242016
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