Andrew M Stuart
Andrew M Stuart
Computing + Mathematical Sciences, Caltech
Verified email at - Homepage
Cited by
Cited by
Inverse problems: a Bayesian perspective
AM Stuart
Acta numerica 19, 451-559, 2010
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
Multiscale methods: averaging and homogenization
GA Pavliotis, A Stuart
Springer Science & Business Media, 2008
Dynamical systems and numerical analysis
A Stuart, AR Humphries
Cambridge University Press, 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
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
MCMC methods for functions: modifying old algorithms to make them faster
SL Cotter, GO Roberts, AM Stuart, D White
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
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
The Bayesian approach to inverse problems
M Dashti, AM Stuart
arXiv preprint arXiv:1302.6989, 2013
Data assimilation
K Law, A Stuart, K Zygalakis
Cham, Switzerland: Springer 214, 52, 2015
Extracting macroscopic dynamics: model problems and algorithms
D Givon, R Kupferman, A Stuart
Nonlinearity 17 (6), R55, 2004
Ensemble Kalman methods for inverse problems
MA Iglesias, KJH Law, AM Stuart
Inverse Problems 29 (4), 045001, 2013
Optimal tuning of the hybrid Monte Carlo algorithm
A Beskos, N Pillai, G Roberts, JM Sanz-Serna, A Stuart
The global dynamics of discrete semilinear parabolic equations
CM Elliott, AM Stuart
SIAM journal on numerical analysis 30 (6), 1622-1663, 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
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
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
A first course in continuum mechanics
O Gonzalez, AM Stuart
Cambridge University Press, 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
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