Andrew M Stuart

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Nikola KovachkiCalifornia Institute of TechnologyAdresse e-mail validée de caltech.edu
G.A. PavliotisDepartment of Mathematics Imperial College LondonAdresse e-mail validée de imperial.ac.uk
Kody J. H. LawProfessor at the University of Manchester and AI Research Scientist at MetaAdresse e-mail validée de meta.com
Kaushik BhattacharyaCalifornia Institute of TechnologyAdresse e-mail validée de caltech.edu
Burigede LiuGranta Design Assistant Professor, University of CambridgeAdresse e-mail validée de cam.ac.uk
Zongyi LiCaltechAdresse e-mail validée de caltech.edu
Gareth RobertsProfessor of Statistics, University of WarwickAdresse e-mail validée de warwick.ac.uk
Anima AnandkumarCalifornia Institute of Technology and NVIDIAAdresse e-mail validée de caltech.edu
Kamyar AzizzadenesheliNvidiaAdresse e-mail validée de nvidia.com
Tapio SchneiderProfessor, California Institute of TechnologyAdresse e-mail validée de caltech.edu
Alexandros BeskosProfessor in Statistics, UCLAdresse e-mail validée de ucl.ac.uk
Jochen VossLecturer in Statistics, University of LeedsAdresse e-mail validée de leeds.ac.uk
Marco IglesiasUniversity of NottinghamAdresse e-mail validée de nottingham.ac.uk
Jonathan C. MattinglyProfessor of Mathematics and Statistical Science, Duke UniversityAdresse e-mail validée de math.duke.edu
Konstantinos ZygalakisUniversity of EdinburghAdresse e-mail validée de ed.ac.uk
Natesh S. PillaiHarvard UniversityAdresse e-mail validée de fas.harvard.edu
Antony R HumphriesMathematics & Statistics, and, Physiology, McGill UniversityAdresse e-mail validée de mcgill.ca
Matthew DunlopGambit ResearchAdresse e-mail validée de nyu.edu
Desmond HighamProfessor of Mathematics, University of EdinburghAdresse e-mail validée de ed.ac.uk
Simon CotterSchool of Mathematics, University of ManchesterAdresse e-mail validée de manchester.ac.uk

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Andrew M Stuart

Computing + Mathematical Sciences, Caltech

Adresse e-mail validée de caltech.edu - Page d'accueil

Applied and Computational Mathematics Data Assimilation Inverse Problems Stochastic Differential Equations


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
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	2081	2020
Inverse problems: a Bayesian perspective AM Stuart Acta numerica 19, 451-559, 2010	1981	2010
Multiscale methods: averaging and homogenization GA Pavliotis, A Stuart Springer Science & Business Media, 2008	1376*	2008
Dynamical systems and numerical analysis A Stuart, AR Humphries Cambridge University Press, 1998	1334	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	833	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	743	2002
MCMC methods for functions: modifying old algorithms to make them faster SL Cotter, GO Roberts, AM Stuart, D White	739	2013
Neural operator: Graph kernel network for partial differential equations A Anandkumar, K Azizzadenesheli, K Bhattacharya, N Kovachki, Z Li, ... ICLR 2020 Workshop on Integration of Deep Neural Models and Differential …, 2020	696*	2020
Neural operator: Learning maps between function spaces with applications to pdes N Kovachki, Z Li, B Liu, K Azizzadenesheli, K Bhattacharya, A Stuart, ... Journal of Machine Learning Research 24 (89), 1-97, 2023	665	2023
The Bayesian approach to inverse problems M Dashti, AM Stuart arXiv preprint arXiv:1302.6989, 2013	620	2013
Data assimilation K Law, A Stuart, K Zygalakis Cham, Switzerland: Springer 214, 52, 2015	613	2015
Extracting macroscopic dynamics: model problems and algorithms D Givon, R Kupferman, A Stuart Nonlinearity 17 (6), R55, 2004	437	2004
Ensemble Kalman methods for inverse problems MA Iglesias, KJH Law, AM Stuart Inverse Problems 29 (4), 045001, 2013	428	2013
Optimal tuning of the hybrid Monte Carlo algorithm A Beskos, N Pillai, G Roberts, JM Sanz-Serna, A Stuart	385	2013
The global dynamics of discrete semilinear parabolic equations CM Elliott, AM Stuart SIAM journal on numerical analysis 30 (6), 1622-1663, 1993	385	1993
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	384	2017
Multipole graph neural operator for parametric partial differential equations Z Li, N Kovachki, K Azizzadenesheli, B Liu, A Stuart, K Bhattacharya, ... Advances in Neural Information Processing Systems 33, 6755-6766, 2020	358	2020
Model reduction and neural networks for parametric PDEs K Bhattacharya, B Hosseini, NB Kovachki, AM Stuart The SMAI journal of computational mathematics 7, 121-157, 2021	351	2021
A first course in continuum mechanics O Gonzalez, AM Stuart Cambridge University Press, 2008	312	2008
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	268	1993

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