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A-optimal encoding weights for nonlinear inverse problems, with applications to the Helmholtz inverse problem
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A-optimal encoding weights for nonlinear inverse problems, with applications to the Helmholtz inverse problem

B. Crestel
A. Alexanderian
G. Stadler
Omar Ghattas
ArXiv (abs)PDFHTML

Papers citing "A-optimal encoding weights for nonlinear inverse problems, with applications to the Helmholtz inverse problem"

6 / 6 papers shown
Title
Bayesian design of measurements for magnetorelaxometry imaging
Bayesian design of measurements for magnetorelaxometry imaging
T. Helin
Nuutti Hyvönen
Jarno Maaninen
Juha-Pekka Puska
53
18
0
31 May 2023
Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning
Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning
Thomas O'Leary-Roseberry
Peng Chen
Umberto Villa
Omar Ghattas
AI4CE
102
42
0
21 Jun 2022
Machine learning-based conditional mean filter: a generalization of the ensemble Kalman filter for nonlinear data assimilation
Machine learning-based conditional mean filter: a generalization of the ensemble Kalman filter for nonlinear data assimilation
Truong-Vinh Hoang
S. Krumscheid
H. Matthies
Raúl Tempone
57
7
0
15 Jun 2021
Projected Wasserstein gradient descent for high-dimensional Bayesian inference
Projected Wasserstein gradient descent for high-dimensional Bayesian inference
Yifei Wang
Peng Chen
Wuchen Li
77
26
0
12 Feb 2021
Derivative-Informed Projected Neural Networks for High-Dimensional Parametric Maps Governed by PDEs
Derivative-Informed Projected Neural Networks for High-Dimensional Parametric Maps Governed by PDEs
Thomas O'Leary-Roseberry
Umberto Villa
Peng Chen
Omar Ghattas
112
70
0
30 Nov 2020
Taylor approximation for chance constrained optimization problems governed by partial differential equations with high-dimensional random parameters
Taylor approximation for chance constrained optimization problems governed by partial differential equations with high-dimensional random parameters
Peng Chen
Omar Ghattas
75
18
0
19 Nov 2020

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