Andrew M Stuart

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Nikola KovachkiCalifornia Institute of TechnologyVerifisert e-postadresse på caltech.edu
Kaushik BhattacharyaCalifornia Institute of TechnologyVerifisert e-postadresse på caltech.edu
G.A. PavliotisDepartment of Mathematics Imperial College LondonVerifisert e-postadresse på imperial.ac.uk
Kody J. H. LawProfessor at the University of Manchester and AI Research Scientist at MetaVerifisert e-postadresse på meta.com
Burigede LiuGranta Design Assistant Professor, University of CambridgeVerifisert e-postadresse på cam.ac.uk
Zongyi LiCaltechVerifisert e-postadresse på caltech.edu
Anima AnandkumarCalifornia Institute of Technology and NVIDIAVerifisert e-postadresse på caltech.edu
Kamyar AzizzadenesheliNvidiaVerifisert e-postadresse på nvidia.com
Gareth RobertsProfessor of Statistics, University of WarwickVerifisert e-postadresse på warwick.ac.uk
Tapio SchneiderProfessor, California Institute of TechnologyVerifisert e-postadresse på caltech.edu
Alexandros BeskosProfessor in Statistics, UCLVerifisert e-postadresse på ucl.ac.uk
Marco IglesiasUniversity of NottinghamVerifisert e-postadresse på nottingham.ac.uk
Jochen VossLecturer in Statistics, University of LeedsVerifisert e-postadresse på leeds.ac.uk
Natesh S. PillaiHarvard UniversityVerifisert e-postadresse på fas.harvard.edu
Jonathan C. MattinglyProfessor of Mathematics and Statistical Science, Duke UniversityVerifisert e-postadresse på math.duke.edu
Konstantinos ZygalakisUniversity of EdinburghVerifisert e-postadresse på ed.ac.uk
Antony R HumphriesMathematics & Statistics, and, Physiology, McGill UniversityVerifisert e-postadresse på mcgill.ca
Matthew DunlopGambit ResearchVerifisert e-postadresse på nyu.edu
Desmond HighamProfessor of Mathematics, University of EdinburghVerifisert e-postadresse på ed.ac.uk
Simon CotterSchool of Mathematics, University of ManchesterVerifisert e-postadresse på manchester.ac.uk

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Andrew M Stuart

Computing + Mathematical Sciences, Caltech

Verifisert e-postadresse på caltech.edu - Startside

Applied and Computational Mathematics Data Assimilation Inverse Problems Stochastic Differential Equations


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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	2771	2020
Inverse problems: a Bayesian perspective AM Stuart Acta numerica 19, 451-559, 2010	2118	2010
Multiscale methods: averaging and homogenization GA Pavliotis, A Stuart Springer Science & Business Media, 2008	1414*	2008
Dynamical systems and numerical analysis A Stuart, AR Humphries Cambridge University Press, 1998	1356	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	974	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	876*	2020
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
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	793	2002
MCMC methods for functions: modifying old algorithms to make them faster SL Cotter, GO Roberts, AM Stuart, D White	778	2013
The Bayesian approach to inverse problems M Dashti, AM Stuart arXiv preprint arXiv:1302.6989, 2013	655	2013
Data assimilation K Law, A Stuart, K Zygalakis Cham, Switzerland: Springer 214, 52, 2015	647	2015
Ensemble Kalman methods for inverse problems MA Iglesias, KJH Law, AM Stuart Inverse Problems 29 (4), 045001, 2013	477	2013
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	439	2020
Extracting macroscopic dynamics: model problems and algorithms D Givon, R Kupferman, A Stuart Nonlinearity 17 (6), R55, 2004	434	2004
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	417	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	410	2017
The global dynamics of discrete semilinear parabolic equations CM Elliott, AM Stuart SIAM journal on numerical analysis 30 (6), 1622-1663, 1993	407	1993
Optimal tuning of the hybrid Monte Carlo algorithm A Beskos, N Pillai, G Roberts, JM Sanz-Serna, A Stuart	404	2013
A first course in continuum mechanics O Gonzalez, AM Stuart Cambridge University Press, 2008	332	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	277	1993

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