Fetching the paper…
Reading the bibliography…
Stochastic partial differential equations (SPDEs) are significant tools for modeling dynamics in many areas including atmospheric sciences and physics.
On the theory of the brownian motion
G. E. Uhlenbeck and L. S. Ornstein · 1930
Earlier work this paper cites.
On the theory of the brownian motion
G. E. Uhlenbeck and L. S. Ornstein · 1930
Earlier work this paper cites.
Stochastic climate models part i. theory
K. Hasselmann · 1976
Earlier work this paper cites.
Stochastic climate models part i. theory
K. Hasselmann · 1976
Earlier work this paper cites.
Efficient Analytic Approximation of American Option Values
Giovanni Barone-Adesi and Robert E Whaley · 1987
Earlier work this paper cites.
Efficient Analytic Approximation of American Option Values
Giovanni Barone-Adesi and Robert E Whaley · 1987
Earlier work this paper cites.
Fourier neural operator for parametric partial differential equations
Zongyi Li, Nikola B. Kovachki, Kamyar Azizzadenesheli, Burigede Liu, Kaushik Bhattacharya, Andrew M. Stuart, and Anima Anandkumar · 2010
Earlier work this paper cites.
Fourier neural operator for parametric partial differential equations
Zongyi Li, Nikola B. Kovachki, Kamyar Azizzadenesheli, Burigede Liu, Kaushik Bhattacharya, Andrew M. Stuart, and Anima Anandkumar · 2010
Earlier work this paper cites.
A theory of regularity structures
M. Hairer · 2014
Earlier work this paper cites.
A theory of regularity structures
M. Hairer · 2014
Earlier work this paper cites.
Regularity structures and the dynamical ϕ 3 4 \phi^{4}_{3} model
Martin Hairer · 2015
Cited alongside, same era.
Regularity structures and the dynamical ϕ 3 4 \phi^{4}_{3} model
Martin Hairer · 2015
Cited alongside, same era.
Stochastic Modelling for Systems Biology, Third Edition , volume 1
D.J. Wilkinson · 2018
Cited alongside, same era.
Convex integration and phenomenologies in turbulence
Tristan Buckmaster and Vlad Vicol · 2019
Cited alongside, same era.
Lu Lu, Pengzhan Jin, and George Em Karniadakis · 2019
Cited alongside, same era.
Convex integration and phenomenologies in turbulence
Tristan Buckmaster and Vlad Vicol · 2019
Neural operator: Learning maps between function spaces
Nikola B. Kovachki, Zongyi Li, Burigede Liu, Kamyar Azizzadenesheli, Kaushik Bhattacharya, Andrew M. Stuart, and Anima Anandkumar · 2021
Later among the works it cites.
The random feature model for input-output maps between banach spaces
Nicholas H Nelsen and Andrew M Stuart · 2021
Later among the works it cites.
A physics-informed operator regression framework for extracting data-driven continuum models
Ravi G Patel, Nathaniel A Trask, Mitchell A Wood, and Eric C Cyr · 2021
Later among the works it cites.
Neural stochastic partial differential equations
Cristopher Salvi and Maud Lemercier · 2021
Later among the works it cites.
Feature engineering with regularity structures
Ilya Chevyrev, Andris Gerasimovics, and Hendrik Weber · 2021
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Lu Lu, Pengzhan Jin, and George Em Karniadakis · 2019
Cited alongside, same era.
Model reduction and neural networks for parametric pdes
Kaushik Bhattacharya, Bamdad Hosseini, Nikola B Kovachki, and Andrew M Stuart · 2020
Cited alongside, same era.
Model reduction and neural networks for parametric pdes
Kaushik Bhattacharya, Bamdad Hosseini, Nikola B Kovachki, and Andrew M Stuart · 2020
Cited alongside, same era.
Feature engineering with regularity structures
Ilya Chevyrev, Andris Gerasimovics, and Hendrik Weber · 2021
Cited alongside, same era.
Multipole graph neural operator for parametric partial differential equations
Zongyi Li, Nikola Kovachki, Kamyar Azizzadenesheli, Burigede Liu, Andrew Stuart, Kaushik Bhattacharya, and Anima Anandkumar
Cited in the paper.
Multipole graph neural operator for parametric partial differential equations
Zongyi Li, Nikola Kovachki, Kamyar Azizzadenesheli, Burigede Liu, Andrew Stuart, Kaushik Bhattacharya, and Anima Anandkumar
Cited in the paper.
Neural operator: Learning maps between function spaces
Nikola B. Kovachki, Zongyi Li, Burigede Liu, Kamyar Azizzadenesheli, Kaushik Bhattacharya, Andrew M. Stuart, and Anima Anandkumar · 2021
Later among the works it cites.
The random feature model for input-output maps between banach spaces
Nicholas H Nelsen and Andrew M Stuart · 2021
Later among the works it cites.
A physics-informed operator regression framework for extracting data-driven continuum models
Ravi G Patel, Nathaniel A Trask, Mitchell A Wood, and Eric C Cyr · 2021
Later among the works it cites.
Neural stochastic partial differential equations
Cristopher Salvi and Maud Lemercier · 2021
Later among the works it cites.
Stochastic Modelling for Systems Biology, Third Edition , volume 1
D.J. Wilkinson · 2021
Later among the works it cites.