Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2211.01330
Cited By
Bayesian Nonlocal Operator Regression (BNOR): A Data-Driven Learning Framework of Nonlocal Models with Uncertainty Quantification
6 October 2022
Yiming Fan
M. DÉlia
Yue Yu
H. Najm
Stewart Silling
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Bayesian Nonlocal Operator Regression (BNOR): A Data-Driven Learning Framework of Nonlocal Models with Uncertainty Quantification"
6 / 6 papers shown
Title
Embedded Nonlocal Operator Regression (ENOR): Quantifying model error in learning nonlocal operators
Yiming Fan
H. Najm
Yue Yu
Stewart Silling
M. DÉlia
UQCV
28
0
0
27 Oct 2024
Learning Latent Space Dynamics with Model-Form Uncertainties: A Stochastic Reduced-Order Modeling Approach
Jin Yi Yong
Rudy Geelen
Johann Guilleminot
26
1
0
30 Aug 2024
Peridynamic Neural Operators: A Data-Driven Nonlocal Constitutive Model for Complex Material Responses
S. Jafarzadeh
Stewart Silling
Ning Liu
Zhongqiang Zhang
Yue Yu
AI4CE
21
15
0
11 Jan 2024
Nonparametric learning of kernels in nonlocal operators
Fei Lu
Qi An
Yue Yu
35
18
0
23 May 2022
Data-driven learning of nonlocal models: from high-fidelity simulations to constitutive laws
Huaiqian You
Yue Yu
Stewart Silling
M. DÉlia
35
32
0
08 Dec 2020
The Bayesian Formulation and Well-Posedness of Fractional Elliptic Inverse Problems
Nicolas García Trillos
D. Sanz-Alonso
18
24
0
16 Nov 2016
1