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Multigrid with rough coefficients and Multiresolution operator
  decomposition from Hierarchical Information Games

Multigrid with rough coefficients and Multiresolution operator decomposition from Hierarchical Information Games

11 March 2015
H. Owhadi
ArXivPDFHTML

Papers citing "Multigrid with rough coefficients and Multiresolution operator decomposition from Hierarchical Information Games"

15 / 15 papers shown
Title
Physics-Informed Computer Vision: A Review and Perspectives
Physics-Informed Computer Vision: A Review and Perspectives
C. Banerjee
Kien Nguyen
Clinton Fookes
G. Karniadakis
PINN
AI4CE
39
30
0
29 May 2023
Gaussian Process Hydrodynamics
Gaussian Process Hydrodynamics
H. Owhadi
40
1
0
21 Sep 2022
A fully algebraic and robust two-level Schwarz method based on optimal
  local approximation spaces
A fully algebraic and robust two-level Schwarz method based on optimal local approximation spaces
Alexander Heinlein
K. Smetana
14
9
0
12 Jul 2022
Subspace Decomposition based DNN algorithm for elliptic type multi-scale
  PDEs
Subspace Decomposition based DNN algorithm for elliptic type multi-scale PDEs
Xi-An Li
Z. Xu
Lei Zhang
27
27
0
10 Dec 2021
Probabilistic Numerical Method of Lines for Time-Dependent Partial
  Differential Equations
Probabilistic Numerical Method of Lines for Time-Dependent Partial Differential Equations
Nicholas Kramer
Jonathan Schmidt
Philipp Hennig
32
18
0
22 Oct 2021
Computational Graph Completion
Computational Graph Completion
H. Owhadi
24
24
0
20 Oct 2021
Learning Partial Differential Equations in Reproducing Kernel Hilbert
  Spaces
Learning Partial Differential Equations in Reproducing Kernel Hilbert Spaces
George Stepaniants
49
15
0
26 Aug 2021
Solving and Learning Nonlinear PDEs with Gaussian Processes
Solving and Learning Nonlinear PDEs with Gaussian Processes
Yifan Chen
Bamdad Hosseini
H. Owhadi
Andrew M. Stuart
32
153
0
24 Mar 2021
A Modern Retrospective on Probabilistic Numerics
A Modern Retrospective on Probabilistic Numerics
Chris J. Oates
T. Sullivan
AI4CE
24
64
0
14 Jan 2019
Kernel Flows: from learning kernels from data into the abyss
Kernel Flows: from learning kernels from data into the abyss
H. Owhadi
G. Yoo
18
88
0
13 Aug 2018
Bayesian Probabilistic Numerical Methods
Bayesian Probabilistic Numerical Methods
Jon Cockayne
Chris J. Oates
T. Sullivan
Mark Girolami
27
164
0
13 Feb 2017
Probabilistic Numerical Methods for PDE-constrained Bayesian Inverse
  Problems
Probabilistic Numerical Methods for PDE-constrained Bayesian Inverse Problems
Jon Cockayne
Chris J. Oates
T. Sullivan
Mark Girolami
AI4CE
24
79
0
15 Jan 2017
Gamblets for opening the complexity-bottleneck of implicit schemes for
  hyperbolic and parabolic ODEs/PDEs with rough coefficients
Gamblets for opening the complexity-bottleneck of implicit schemes for hyperbolic and parabolic ODEs/PDEs with rough coefficients
H. Owhadi
Lei Zhang
AI4CE
23
69
0
24 Jun 2016
Probabilistic Numerical Methods for Partial Differential Equations and
  Bayesian Inverse Problems
Probabilistic Numerical Methods for Partial Differential Equations and Bayesian Inverse Problems
Jon Cockayne
Chris J. Oates
T. Sullivan
Mark Girolami
35
45
0
25 May 2016
Towards Machine Wald
Towards Machine Wald
H. Owhadi
C. Scovel
TPM
36
42
0
10 Aug 2015
1