Andrew M Stuart

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Nikola KovachkiCalifornia Institute of TechnologyE-mail confirmado em caltech.edu
G.A. PavliotisDepartment of Mathematics Imperial College LondonE-mail confirmado em imperial.ac.uk
Kody J. H. LawProfessor at the University of Manchester and AI Research Scientist at MetaE-mail confirmado em meta.com
Kaushik BhattacharyaCalifornia Institute of TechnologyE-mail confirmado em caltech.edu
Burigede LiuGranta Design Assistant Professor, University of CambridgeE-mail confirmado em cam.ac.uk
Zongyi LiCaltechE-mail confirmado em caltech.edu
Anima AnandkumarCalifornia Institute of Technology and NVIDIAE-mail confirmado em caltech.edu
Kamyar AzizzadenesheliNvidiaE-mail confirmado em nvidia.com
Gareth RobertsProfessor of Statistics, University of WarwickE-mail confirmado em warwick.ac.uk
Tapio SchneiderProfessor, California Institute of TechnologyE-mail confirmado em caltech.edu
Alexandros BeskosProfessor in Statistics, UCLE-mail confirmado em ucl.ac.uk
Marco IglesiasUniversity of NottinghamE-mail confirmado em nottingham.ac.uk
Jochen VossLecturer in Statistics, University of LeedsE-mail confirmado em leeds.ac.uk
Jonathan C. MattinglyProfessor of Mathematics and Statistical Science, Duke UniversityE-mail confirmado em math.duke.edu
Konstantinos ZygalakisUniversity of EdinburghE-mail confirmado em ed.ac.uk
Natesh S. PillaiHarvard UniversityE-mail confirmado em fas.harvard.edu
Antony R HumphriesMathematics & Statistics, and, Physiology, McGill UniversityE-mail confirmado em mcgill.ca
Matthew DunlopGambit ResearchE-mail confirmado em nyu.edu
Desmond HighamProfessor of Mathematics, University of EdinburghE-mail confirmado em ed.ac.uk
Simon CotterSchool of Mathematics, University of ManchesterE-mail confirmado em manchester.ac.uk

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Andrew M Stuart

Computing + Mathematical Sciences, Caltech

E-mail confirmado em caltech.edu - Página inicial

Applied and Computational Mathematics Data Assimilation Inverse Problems Stochastic Differential Equations


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
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	2369	2020
Inverse problems: a Bayesian perspective AM Stuart Acta numerica 19, 451-559, 2010	2050	2010
Multiscale methods: averaging and homogenization GA Pavliotis, A Stuart Springer Science & Business Media, 2008	1399*	2008
Dynamical systems and numerical analysis A Stuart, AR Humphries Cambridge University Press, 1998	1348	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	849	2002
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	794	2023
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	781*	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	767	2002
MCMC methods for functions: modifying old algorithms to make them faster SL Cotter, GO Roberts, AM Stuart, D White	754	2013
Data assimilation K Law, A Stuart, K Zygalakis Cham, Switzerland: Springer 214, 52, 2015	638	2015
The Bayesian approach to inverse problems M Dashti, AM Stuart arXiv preprint arXiv:1302.6989, 2013	637	2013
Ensemble Kalman methods for inverse problems MA Iglesias, KJH Law, AM Stuart Inverse Problems 29 (4), 045001, 2013	454	2013
Extracting macroscopic dynamics: model problems and algorithms D Givon, R Kupferman, A Stuart Nonlinearity 17 (6), R55, 2004	438	2004
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	395	2017
Optimal tuning of the hybrid Monte Carlo algorithm A Beskos, N Pillai, G Roberts, JM Sanz-Serna, A Stuart	394	2013
The global dynamics of discrete semilinear parabolic equations CM Elliott, AM Stuart SIAM journal on numerical analysis 30 (6), 1622-1663, 1993	394	1993
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	393	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	390	2021
A first course in continuum mechanics O Gonzalez, AM Stuart Cambridge University Press, 2008	320	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	272	1993

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