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
Multiscale methods: averaging and homogenization
G Pavliotis, A Stuart
Springer Science & Business Media, 2008
Dynamical systems and numerical analysis
A Stuart, AR Humphries
Cambridge University Press, 1998
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
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
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
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
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
Ensemble Kalman methods for inverse problems
MA Iglesias, KJH Law, AM Stuart
Inverse Problems 29 (4), 045001, 2013
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
A first course in continuum mechanics
O Gonzalez, AM Stuart
Cambridge University Press, 2008
Neural Operator: Learning Maps Between Function Spaces With Applications to PDEs.
NB Kovachki, Z Li, B Liu, K Azizzadenesheli, K Bhattacharya, AM Stuart, ...
J. Mach. Learn. Res. 24 (89), 1-97, 2023
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
MCMC methods for diffusion bridges
A Beskos, G Roberts, A Stuart, J Voss
Stochastics and Dynamics 8 (03), 319-350, 2008
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
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