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Learning elliptic partial differential equations with randomized linear
  algebra
v1v2 (latest)

Learning elliptic partial differential equations with randomized linear algebra

31 January 2021
Nicolas Boullé
Alex Townsend
ArXiv (abs)PDFHTML

Papers citing "Learning elliptic partial differential equations with randomized linear algebra"

8 / 8 papers shown
Title
Structure-Preserving Operator Learning
Structure-Preserving Operator Learning
Nacime Bouziani
Nicolas Boullé
60
1
0
01 Oct 2024
Score Operator Newton transport
Score Operator Newton transport
N. Chandramoorthy
F. Schaefer
Youssef Marzouk
OT
77
1
0
16 May 2023
Operator learning with PCA-Net: upper and lower complexity bounds
Operator learning with PCA-Net: upper and lower complexity bounds
S. Lanthaler
72
26
0
28 Mar 2023
Elliptic PDE learning is provably data-efficient
Elliptic PDE learning is provably data-efficient
N. Boullé
Diana Halikias
Alex Townsend
77
21
0
24 Feb 2023
Learning Green's functions associated with time-dependent partial
  differential equations
Learning Green's functions associated with time-dependent partial differential equations
N. Boullé
Seick Kim
Tianyi Shi
Alex Townsend
AI4CE
97
26
0
27 Apr 2022
Convergence Rates for Learning Linear Operators from Noisy Data
Convergence Rates for Learning Linear Operators from Noisy Data
Maarten V. de Hoop
Nikola B. Kovachki
Nicholas H. Nelsen
Andrew M. Stuart
171
58
0
27 Aug 2021
Learning Partial Differential Equations in Reproducing Kernel Hilbert
  Spaces
Learning Partial Differential Equations in Reproducing Kernel Hilbert Spaces
George Stepaniants
86
19
0
26 Aug 2021
Data-driven discovery of Green's functions with human-understandable
  deep learning
Data-driven discovery of Green's functions with human-understandable deep learning
Nicolas Boullé
Christopher Earls
Alex Townsend
PINNAI4CE
60
60
0
01 May 2021
1