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2002.04495
Cited By
On transfer learning of neural networks using bi-fidelity data for uncertainty propagation
11 February 2020
Subhayan De
Jolene Britton
Matthew J. Reynolds
Ryan W. Skinner
Kenneth Jansen
Alireza Doostan
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Papers citing
"On transfer learning of neural networks using bi-fidelity data for uncertainty propagation"
11 / 11 papers shown
Title
Graph Laplacian-based Bayesian Multi-fidelity Modeling
Orazio Pinti
Jeremy M. Budd
Franca Hoffmann
Assad A. Oberai
35
1
0
12 Sep 2024
Bi-fidelity Variational Auto-encoder for Uncertainty Quantification
Nuojin Cheng
Osman Asif Malik
Subhayan De
Stephen Becker
Alireza Doostan
29
9
0
25 May 2023
A Bi-fidelity DeepONet Approach for Modeling Uncertain and Degrading Hysteretic Systems
Subhayan De
P. Brewick
31
0
0
25 Apr 2023
A few-shot graph Laplacian-based approach for improving the accuracy of low-fidelity data
Orazio Pinti
Assad A. Oberai
20
0
0
29 Mar 2023
Multi-fidelity wavelet neural operator with application to uncertainty quantification
A. Thakur
Tapas Tripura
S. Chakraborty
30
12
0
11 Aug 2022
Multifidelity data fusion in convolutional encoder/decoder networks
Lauren Partin
Gianluca Geraci
A. Rushdi
M. Eldred
Daniele E. Schiavazzi
UQCV
AI4CE
27
13
0
10 May 2022
Use of Multifidelity Training Data and Transfer Learning for Efficient Construction of Subsurface Flow Surrogate Models
Su Jiang
L. Durlofsky
AI4CE
22
29
0
23 Apr 2022
Bi-fidelity Modeling of Uncertain and Partially Unknown Systems using DeepONets
Subhayan De
Matthew J. Reynolds
M. Hassanaly
Ryan N. King
Alireza Doostan
AI4CE
26
37
0
03 Apr 2022
A transfer learning metamodel using artificial neural networks applied to natural convection flows in enclosures
M. Ashouri
Alireza Hashemi
AI4CE
6
2
0
28 Aug 2020
Transfer learning based multi-fidelity physics informed deep neural network
S. Chakraborty
PINN
OOD
AI4CE
12
163
0
19 May 2020
Recursive co-kriging model for Design of Computer experiments with multiple levels of fidelity with an application to hydrodynamic
Loic Le Gratiet
AI4CE
88
292
0
02 Oct 2012
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