Timothy John Sullivan

40 papers Journal 39Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Autoencoders in Function Space. J. Mach. Learn. Res. Justin Bunker, Mark Girolami, Hefin Lambley, Andrew M. Stuart, Timothy John Sullivan
2023	J	`jnl`	An Order-Theoretic Perspective on Modes and Maximum A Posteriori Estimation in Bayesian Inverse Problems. SIAM/ASA J. Uncertain. Quantification Hefin Lambley, Timothy John Sullivan
2023	J	`jnl`	Error Bound Analysis of the Stochastic Parareal Algorithm. SIAM J. Sci. Comput. Kamran Pentland, Massimiliano Tamborrino, Timothy John Sullivan
2023	J	`jnl`	GParareal: a time-parallel ODE solver using Gaussian process emulation. Stat. Comput. Kamran Pentland, Massimiliano Tamborrino, Timothy John Sullivan, James Buchanan, Lynton C. Appel
2023	J	`jnl`	Transporting Higher-Order Quadrature Rules: Quasi-Monte Carlo Points and Sparse Grids for Mixture Distributions. CoRR Ilja Klebanov, Timothy John Sullivan
2022	J	`jnl`	Error bound analysis of the stochastic parareal algorithm. CoRR Kamran Pentland, Massimiliano Tamborrino, Timothy John Sullivan
2022	J	`jnl`	GParareal: A time-parallel ODE solver using Gaussian process emulation. CoRR Kamran Pentland, Massimiliano Tamborrino, Timothy John Sullivan, James Buchanan, Lynton C. Appel
2022	J	`jnl`	Testing Whether a Learning Procedure is Calibrated. J. Mach. Learn. Res. Jon Cockayne, Matthew M. Graham, Chris J. Oates, Timothy John Sullivan, Onur Teymur
2021	J	`jnl`	Bayesian Numerical Methods for Nonlinear Partial Differential Equations. CoRR Junyang Wang, Jon Cockayne, Oksana A. Chkrebtii, Timothy John Sullivan, Chris J. Oates
2021	J	`jnl`	Bayesian numerical methods for nonlinear partial differential equations. Stat. Comput. Junyang Wang, Jon Cockayne, Oksana A. Chkrebtii, Timothy John Sullivan, Chris J. Oates
2021	J	`jnl`	Compression, Inversion, and Approximate PCA of Dense Kernel Matrices at Near-Linear Computational Complexity. Multiscale Model. Simul. Florian Schäfer, Timothy John Sullivan, Houman Owhadi
2021	J	`jnl`	Dimension-independent Markov chain Monte Carlo on the sphere. CoRR Han Cheng Lie, Daniel Rudolf, Björn Sprungk, Timothy John Sullivan
2021	J	`jnl`	Randomised one-step time integration methods for deterministic operator differential equations. CoRR Han Cheng Lie, Martin Stahn, Timothy John Sullivan
2021	J	`jnl`	Γ-convergence of Onsager-Machlup functionals. Part I: With applications to maximum a posteriori estimation in Bayesian inverse problems. CoRR Birzhan Ayanbayev, Ilja Klebanov, Han Cheng Lie, Timothy John Sullivan
2021	J	`jnl`	Γ-convergence of Onsager-Machlup functionals. Part II: Infinite product measures on Banach spaces. CoRR Birzhan Ayanbayev, Ilja Klebanov, Han Cheng Lie, Timothy John Sullivan
2020	J	`jnl`	A Rigorous Theory of Conditional Mean Embeddings. SIAM J. Math. Data Sci. Ilja Klebanov, Ingmar Schuster, Timothy John Sullivan
2020	J	`jnl`	Adaptive Reconstruction of Imperfectly Observed Monotone Functions, with Applications to Uncertainty Quantification. Algorithms Luc Bonnet, Jean-Luc Akian, Éric Savin, Timothy John Sullivan
2020	J	`jnl`	Adaptive reconstruction of imperfectly-observed monotone functions, with applications to uncertainty quantification. CoRR Luc Bonnet, Jean-Luc Akian, Éric Savin, Timothy John Sullivan
2020	J	`jnl`	Convergence rates of Gaussian ODE filters. Stat. Comput. Hans Kersting, Timothy John Sullivan, Philipp Hennig
2020	J	`jnl`	Geodesic Analysis in Kendall's Shape Space with Epidemiological Applications. J. Math. Imaging Vis. Esfandiar Nava-Yazdani, Hans-Christian Hege, Timothy John Sullivan, Christoph von Tycowicz
2020	J	`jnl`	Optimal Bounds on Nonlinear Partial Differential Equations in Model Certification, Validation, and Experimental Design. CoRR Mike McKerns, Francis J. Alexander, Kyle S. Hickmann, Timothy John Sullivan, Diane E. Vaughan
2019	J	`jnl`	A modern retrospective on probabilistic numerics. Stat. Comput. Chris J. Oates, Timothy John Sullivan
2019	J	`jnl`	Bayesian Probabilistic Numerical Methods. SIAM Rev. Jon Cockayne, Chris J. Oates, Timothy John Sullivan, Mark A. Girolami
2019	J	`jnl`	Comments on the article "A Bayesian conjugate gradient method". CoRR Timothy John Sullivan
2019	J	`jnl`	Editorial: special edition on probabilistic numerics. Stat. Comput. Mark A. Girolami, Ilse C. F. Ipsen, Chris J. Oates, Art B. Owen, Timothy John Sullivan
2019	—	`conf`	Error Bounds for Some Approximate Posterior Measures in Bayesian Inference. ENUMATH Han Cheng Lie, Timothy John Sullivan, Aretha L. Teckentrup
2019	J	`jnl`	Error bounds for some approximate posterior measures in Bayesian inference. CoRR Han Cheng Lie, Timothy John Sullivan, Aretha L. Teckentrup
2019	J	`jnl`	Strong convergence rates of probabilistic integrators for ordinary differential equations. Stat. Comput. Han Cheng Lie, Andrew M. Stuart, Timothy John Sullivan
2018	J	`jnl`	Convergence Rates of Gaussian ODE Filters. CoRR Hans Kersting, Timothy John Sullivan, Philipp Hennig
2018	J	`jnl`	Random Forward Models and Log-Likelihoods in Bayesian Inverse Problems. SIAM/ASA J. Uncertain. Quantification Han Cheng Lie, Timothy John Sullivan, Aretha L. Teckentrup
2017	J	`jnl`	Compression, inversion, and approximate PCA of dense kernel matrices at near-linear computational complexity. CoRR Florian Schäfer, Timothy John Sullivan, Houman Owhadi
2017	J	`jnl`	Random forward models and log-likelihoods in Bayesian inverse problems. CoRR Han Cheng Lie, Timothy John Sullivan, Aretha L. Teckentrup
2015	J	`jnl`	On the Brittleness of Bayesian Inference. SIAM Rev. Houman Owhadi, Clint Scovel, Timothy John Sullivan
2013	J	`jnl`	Optimal Uncertainty Quantification. SIAM Rev. Houman Owhadi, Clint Scovel, Timothy John Sullivan, Mike McKerns, Michael Ortiz
2012	J	`jnl`	Optimal uncertainty quantification for legacy data observations of Lipschitz functions. CoRR Timothy John Sullivan, Mike McKerns, Dominik Meyer, Florian Theil, Houman Owhadi, Michael Ortiz
2012	J	`jnl`	The Optimal Uncertainty Algorithm in the Mystic Framework CoRR Mike McKerns, Houman Owhadi, Clint Scovel, Timothy John Sullivan, Michael Ortiz
2010	J	`jnl`	Optimal Uncertainty Quantification CoRR Houman Owhadi, Clint Scovel, Timothy John Sullivan, Mike McKerns, Michael Ortiz
2005	J	`jnl`	A knowledge-based approach for classifying lake water chemistry. Knowl. Based Syst. Michael C. Saunders, Timothy John Sullivan, B. L. Nash, K. A. Tonnessen, B. J. Miller
2005	J	`jnl`	Application of a regionalized knowledge-based model for classifying the impacts of nitrogen, sulfur, and organic acids on lakewater chemistry. Knowl. Based Syst. Timothy John Sullivan, Michael C. Saunders, K. A. Tonnessen, B. L. Nash, B. J. Miller
2004	J	`jnl`	Identifying indicators of chemical, biological, radiological, and nuclear (CBRN) weapons development activity in sub-national terrorist groups. J. Oper. Res. Soc. Timothy John Sullivan, W. L. Perry