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The Bayesian Formulation and Well-Posedness of Fractional Elliptic
  Inverse Problems

The Bayesian Formulation and Well-Posedness of Fractional Elliptic Inverse Problems

16 November 2016
Nicolas García Trillos
D. Sanz-Alonso
ArXivPDFHTML

Papers citing "The Bayesian Formulation and Well-Posedness of Fractional Elliptic Inverse Problems"

3 / 3 papers shown
Title
Bayesian Nonlocal Operator Regression (BNOR): A Data-Driven Learning
  Framework of Nonlocal Models with Uncertainty Quantification
Bayesian Nonlocal Operator Regression (BNOR): A Data-Driven Learning Framework of Nonlocal Models with Uncertainty Quantification
Yiming Fan
M. DÉlia
Yue Yu
H. Najm
Stewart Silling
19
3
0
06 Oct 2022
Data-Driven Forward Discretizations for Bayesian Inversion
Data-Driven Forward Discretizations for Bayesian Inversion
Daniele Bigoni
Yuming Chen
Nicolas García Trillos
Youssef Marzouk
D. Sanz-Alonso
AI4CE
12
11
0
18 Mar 2020
Kernel Methods for Bayesian Elliptic Inverse Problems on Manifolds
Kernel Methods for Bayesian Elliptic Inverse Problems on Manifolds
J. Harlim
D. Sanz-Alonso
Ruiyi Yang
14
19
0
23 Oct 2019
1