T. J. Sullivan
Title
Cited by
Cited by
Year
Introduction to Uncertainty Quantification
TJ Sullivan
Texts in Applied Mathematics 63, Springer, 2015
2972015
Optimal Uncertainty Quantification
H Owhadi, C Scovel, TJ Sullivan, M McKerns, M Ortiz
SIAM Review 55 (2), 271-345, 2013
1212013
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
782011
Bayesian probabilistic numerical methods
J Cockayne, CJ Oates, TJ Sullivan, M Girolami
SIAM Review 61 (4), 756-789, 2019
652019
On the Brittleness of Bayesian inference
H Owhadi, C Scovel, TJ Sullivan
SIAM Review 57 (4), 566-582, 2015
422015
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
412015
Compression, inversion, and approximate PCA of dense kernel matrices at near-linear computational complexity
F Schäfer, TJ Sullivan, H Owhadi
arXiv preprint arXiv:1706.02205, 2017
322017
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
252016
Stratified graphene/noble metal systems for low-loss plasmonics applications
L Rast, TJ Sullivan, VK Tewary
Physical Review D 87 (4), 045428, 2013
222013
Rigorous Model-Based Uncertainty Quantification with Application to Terminal Ballistics. Part I: Systems with Controllable Inputs and Small Scatte
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
222012
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
212012
Well-posed Bayesian inverse problems and heavy-tailed stable quasi-Banach space priors
TJ Sullivan
Inverse Problems and Imaging 11 (5), 857–874, 2017
182017
Optimal uncertainty quantification for legacy data observations of Lipschitz functions
TJ Sullivan, M McKerns, D Meyer, F Theil, H Owhadi, M Ortiz
ESAIM. Mathematical Modelling and Numerical Analysis 47 (6), 1657-1689, 2013
162013
Uncertainty quantification via codimension-one partitioning
TJ Sullivan, U Topcu, M McKerns, H Owhadi
International Journal for Numerical Methods in Engineering 85 (12), 1499-1521, 2011
142011
A Modern Retrospective on Probabilistic Numerics
CJ Oates, TJ Sullivan
Statistics and Computing 29 (6), 1335-1351, 2019
132019
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
132017
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
122018
Strong convergence rates of probabilistic integrators for ordinary differential equations
HC Lie, AM Stuart, TJ Sullivan
Statistics and Computing 29 (6), 1265-1283, 2019
112019
The optimal uncertainty algorithm in the mystic framework
M McKerns, H Owhadi, C Scovel, TJ Sullivan, M Ortiz
arXiv preprint arXiv:1202.1055, 2012
112012
Analysis of Gradient Descents in Random Energies and Heat Baths
TJ Sullivan
University of Warwick, 2009
112009
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Articles 1–20