Andrew M Stuart

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Bendraautoriai

Nikola KovachkiCalifornia Institute of TechnologyPatvirtintas el. paštas caltech.edu
G.A. PavliotisDepartment of Mathematics Imperial College LondonPatvirtintas el. paštas imperial.ac.uk
Kody J. H. LawProfessor at the University of Manchester and AI Research Scientist at MetaPatvirtintas el. paštas meta.com
Kaushik BhattacharyaCalifornia Institute of TechnologyPatvirtintas el. paštas caltech.edu
Burigede LiuGranta Design Assistant Professor, University of CambridgePatvirtintas el. paštas cam.ac.uk
Zongyi LiCaltechPatvirtintas el. paštas caltech.edu
Anima AnandkumarCalifornia Institute of Technology and NVIDIAPatvirtintas el. paštas caltech.edu
Kamyar AzizzadenesheliNvidiaPatvirtintas el. paštas nvidia.com
Gareth RobertsProfessor of Statistics, University of WarwickPatvirtintas el. paštas warwick.ac.uk
Tapio SchneiderProfessor, California Institute of TechnologyPatvirtintas el. paštas caltech.edu
Alexandros BeskosProfessor in Statistics, UCLPatvirtintas el. paštas ucl.ac.uk
Jochen VossLecturer in Statistics, University of LeedsPatvirtintas el. paštas leeds.ac.uk
Marco IglesiasUniversity of NottinghamPatvirtintas el. paštas nottingham.ac.uk
Jonathan C. MattinglyProfessor of Mathematics and Statistical Science, Duke UniversityPatvirtintas el. paštas math.duke.edu
Konstantinos ZygalakisUniversity of EdinburghPatvirtintas el. paštas ed.ac.uk
Natesh S. PillaiHarvard UniversityPatvirtintas el. paštas fas.harvard.edu
Antony R HumphriesMathematics & Statistics, and, Physiology, McGill UniversityPatvirtintas el. paštas mcgill.ca
Matthew DunlopGambit ResearchPatvirtintas el. paštas nyu.edu
Desmond HighamProfessor of Mathematics, University of EdinburghPatvirtintas el. paštas ed.ac.uk
Simon CotterSchool of Mathematics, University of ManchesterPatvirtintas el. paštas manchester.ac.uk

Stebėti

Andrew M Stuart

Computing + Mathematical Sciences, Caltech

Patvirtintas el. paštas caltech.edu - Pagrindinis puslapis

Applied and Computational Mathematics Data Assimilation Inverse Problems Stochastic Differential Equations


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
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	2099	2020
Inverse problems: a Bayesian perspective AM Stuart Acta numerica 19, 451-559, 2010	1988	2010
Multiscale methods: averaging and homogenization GA Pavliotis, A Stuart Springer Science & Business Media, 2008	1378*	2008
Dynamical systems and numerical analysis A Stuart, AR Humphries Cambridge University Press, 1998	1337	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	834	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	747	2002
MCMC methods for functions: modifying old algorithms to make them faster SL Cotter, GO Roberts, AM Stuart, D White	740	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	702*	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	670	2023
The Bayesian approach to inverse problems M Dashti, AM Stuart arXiv preprint arXiv:1302.6989, 2013	621	2013
Data assimilation K Law, A Stuart, K Zygalakis Cham, Switzerland: Springer 214, 52, 2015	616	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	431	2013
Optimal tuning of the hybrid Monte Carlo algorithm A Beskos, N Pillai, G Roberts, JM Sanz-Serna, A Stuart	386	2013
The global dynamics of discrete semilinear parabolic equations CM Elliott, AM Stuart SIAM journal on numerical analysis 30 (6), 1622-1663, 1993	386	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	363	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	354	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	269	1993

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