Andrew M Stuart

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G.A. PavliotisDepartment of Mathematics Imperial College LondonVerified email at imperial.ac.uk
Kody J. H. LawDepartment of Mathematics, University of ManchesterVerified email at manchester.ac.uk
Gareth RobertsProfessor of Statistics, University of WarwickVerified email at warwick.ac.uk
Nikola KovachkiCalifornia Institute of TechnologyVerified email at caltech.edu
Kaushik BhattacharyaCalifornia Institute of TechnologyVerified email at caltech.edu
Jonathan C. MattinglyProfessor of Mathematics and Statistical Science, Duke UniversityVerified email at math.duke.edu
Jochen VossLecturer in Statistics, University of LeedsVerified email at leeds.ac.uk
Natesh S. PillaiHarvard UniversityVerified email at fas.harvard.edu
Tapio SchneiderProfessor, California Institute of TechnologyVerified email at caltech.edu
Burigede LiuGranta Design Assistant Professor, University of CambridgeVerified email at cam.ac.uk
Antony R HumphriesMathematics & Statistics, and, Physiology, McGill UniversityVerified email at mcgill.ca
Alexandros BeskosProfessor in Statistics, UCLVerified email at ucl.ac.uk
Simon CotterSchool of Mathematics, University of ManchesterVerified email at manchester.ac.uk
Marco IglesiasUniversity of NottinghamVerified email at nottingham.ac.uk
Desmond HighamProfessor of Mathematics, University of EdinburghVerified email at ed.ac.uk
Martin HairerProfessor of Mathematics, Imperial College LondonVerified email at imperial.ac.uk
Konstantinos ZygalakisUniversity of EdinburghVerified email at ed.ac.uk
Anima AnandkumarCalifornia Institute of Technology and NVIDIAVerified email at caltech.edu
Kamyar AzizzadenesheliNvidiaVerified email at nvidia.com
Zongyi LiCaltechVerified email at caltech.edu

Andrew M Stuart

Computing + Mathematical Sciences, Caltech

Verified email at caltech.edu - Homepage

Applied and Computational Mathematics Data Assimilation Inverse Problems Stochastic Differential Equations


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Inverse problems: a Bayesian perspective AM Stuart Acta numerica 19, 451-559, 2010	1587	2010
Multiscale methods: averaging and homogenization G Pavliotis, A Stuart Springer Science & Business Media, 2008	1247*	2008
Dynamical systems and numerical analysis A Stuart, AR Humphries Cambridge University Press, 1998	1233	1998
Strong convergence of Euler-type methods for nonlinear stochastic differential equations DJ Higham, X Mao, AM Stuart SIAM Journal on Numerical Analysis 40 (3), 1041-1063, 2002	725	2002
Ergodicity for SDEs and approximations: locally Lipschitz vector fields and degenerate noise JC Mattingly, AM Stuart, DJ Higham Stochastic processes and their applications 101 (2), 185-232, 2002	634	2002
Fourier neural operator for parametric partial differential equations Z Li, N Kovachki, K Azizzadenesheli, B Liu, K Bhattacharya, A Stuart, ... arXiv preprint arXiv:2010.08895, 2020	586	2020
MCMC methods for functions: modifying old algorithms to make them faster SL Cotter, GO Roberts, AM Stuart, D White	579	2013
The Bayesian approach to inverse problems M Dashti, AM Stuart Handbook of uncertainty quantification, 311-428, 2017	504	2017
Data assimilation K Law, A Stuart, K Zygalakis Cham, Switzerland: Springer 214, 52, 2015	455	2015
Extracting macroscopic dynamics: model problems and algorithms D Givon, R Kupferman, A Stuart Nonlinearity 17 (6), R55, 2004	416	2004
Optimal tuning of the hybrid Monte Carlo algorithm A Beskos, N Pillai, G Roberts, JM Sanz-Serna, A Stuart	342	2013
The global dynamics of discrete semilinear parabolic equations CM Elliott, AM Stuart SIAM journal on numerical analysis 30 (6), 1622-1663, 1993	323	1993
Ensemble Kalman methods for inverse problems MA Iglesias, KJH Law, AM Stuart Inverse Problems 29 (4), 045001, 2013	297	2013
A first course in continuum mechanics O Gonzalez, AM Stuart Cambridge University Press, 2008	262	2008
Earth system modeling 2.0: A blueprint for models that learn from observations and targeted high‐resolution simulations T Schneider, S Lan, A Stuart, J Teixeira Geophysical Research Letters 44 (24), 12,396-12,417, 2017	256	2017
A model mechanism for the chemotactic response of endothelial cells to tumour angiogenesis factor MAJ Chaplain, AM Stuart Mathematical Medicine and Biology: A Journal of the IMA 10 (3), 149-168, 1993	252	1993
MCMC methods for diffusion bridges A Beskos, G Roberts, A Stuart, J Voss Stochastics and Dynamics 8 (03), 319-350, 2008	231	2008
Neural operator: Graph kernel network for partial differential equations Z Li, N Kovachki, K Azizzadenesheli, B Liu, K Bhattacharya, A Stuart, ... arXiv preprint arXiv:2003.03485, 2020	211	2020
Space-time continuous analysis of waveform relaxation for the heat equation MJ Gander, AM Stuart SIAM Journal on Scientific Computing 19 (6), 2014-2031, 1998	204	1998
Spectral gaps for a Metropolis–Hastings algorithm in infinite dimensions M Hairer, AM Stuart, SJ Vollmer	178	2014

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