Andrew M Stuart

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Nikola KovachkiCalifornia Institute of TechnologyVerifierad e-postadress på caltech.edu
Kaushik BhattacharyaCalifornia Institute of TechnologyVerifierad e-postadress på caltech.edu
Kody J. H. LawProfessor at the University of Manchester and AI Research Scientist at MetaVerifierad e-postadress på meta.com
G.A. PavliotisDepartment of Mathematics Imperial College LondonVerifierad e-postadress på imperial.ac.uk
Burigede LiuGranta Design Assistant Professor, University of CambridgeVerifierad e-postadress på cam.ac.uk
Zongyi LiCaltechVerifierad e-postadress på caltech.edu
Anima AnandkumarCalifornia Institute of Technology and NVIDIAVerifierad e-postadress på caltech.edu
Kamyar AzizzadenesheliNvidiaVerifierad e-postadress på nvidia.com
Gareth RobertsProfessor of Statistics, University of WarwickVerifierad e-postadress på warwick.ac.uk
Tapio SchneiderProfessor, California Institute of TechnologyVerifierad e-postadress på caltech.edu
Marco IglesiasUniversity of NottinghamVerifierad e-postadress på nottingham.ac.uk
Alexandros BeskosProfessor in Statistics, UCLVerifierad e-postadress på ucl.ac.uk
Jochen VossLecturer in Statistics, University of LeedsVerifierad e-postadress på leeds.ac.uk
Jonathan C. MattinglyProfessor of Mathematics and Statistical Science, Duke UniversityVerifierad e-postadress på math.duke.edu
Konstantinos ZygalakisUniversity of EdinburghVerifierad e-postadress på ed.ac.uk
Natesh S. PillaiHarvard UniversityVerifierad e-postadress på fas.harvard.edu
Antony R HumphriesMathematics & Statistics, and, Physiology, McGill UniversityVerifierad e-postadress på mcgill.ca
Matthew DunlopGambit ResearchVerifierad e-postadress på nyu.edu
Desmond HighamProfessor of Mathematics, University of EdinburghVerifierad e-postadress på ed.ac.uk
Simon CotterSchool of Mathematics, University of ManchesterVerifierad e-postadress på manchester.ac.uk

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Andrew M Stuart

Computing + Mathematical Sciences, Caltech

Verifierad e-postadress på caltech.edu - Startsida

Applied and Computational Mathematics Data Assimilation Inverse Problems Stochastic Differential Equations


Titel Sortera efter citat Sortera efter år Sortera efter titel	Citeras av Citeras av	År
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	2663	2020
Inverse problems: a Bayesian perspective AM Stuart Acta numerica 19, 451-559, 2010	2117	2010
Multiscale methods: averaging and homogenization GA Pavliotis, A Stuart Springer Science & Business Media, 2008	1419*	2008
Dynamical systems and numerical analysis A Stuart, AR Humphries Cambridge University Press, 1998	1360	1998
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	936	2023
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	862	2002
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	857*	2020
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	788	2002
MCMC methods for functions: modifying old algorithms to make them faster SL Cotter, GO Roberts, AM Stuart, D White	775	2013
The Bayesian approach to inverse problems M Dashti, AM Stuart arXiv preprint arXiv:1302.6989, 2013	651	2013
Data assimilation K Law, A Stuart, K Zygalakis Cham, Switzerland: Springer 214, 52, 2015	650	2015
Ensemble Kalman methods for inverse problems MA Iglesias, KJH Law, AM Stuart Inverse Problems 29 (4), 045001, 2013	479	2013
Extracting macroscopic dynamics: model problems and algorithms D Givon, R Kupferman, A Stuart Nonlinearity 17 (6), R55, 2004	438	2004
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	429	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	413	2021
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	409	2017
Optimal tuning of the hybrid Monte Carlo algorithm A Beskos, N Pillai, G Roberts, JM Sanz-Serna, A Stuart	405	2013
The global dynamics of discrete semilinear parabolic equations CM Elliott, AM Stuart SIAM journal on numerical analysis 30 (6), 1622-1663, 1993	405	1993
A first course in continuum mechanics O Gonzalez, AM Stuart Cambridge University Press, 2008	331	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	274	1993

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