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2002.04495
Cited By
On transfer learning of neural networks using bi-fidelity data for uncertainty propagation
International Journal for Uncertainty Quantification (IJUQ), 2020
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"
27 / 27 papers shown
Bridging quantum and classical computing for partial differential equations through multifidelity machine learning
Bruno Jacob
Amanda A. Howard
P. Stinis
AI4CE
68
0
0
04 Dec 2025
Towards Multi-Fidelity Scaling Laws of Neural Surrogates in CFD
Paul Setinek
Gianluca Galletti
Johannes Brandstetter
AI4CE
209
0
0
03 Nov 2025
Personalized Treatment Outcome Prediction from Scarce Data via Dual-Channel Knowledge Distillation and Adaptive Fusion
Wenjie Chen
Li Zhuang
Ziying Luo
Yu Liu
Jiahao Wu
Shengcai Liu
118
0
0
30 Oct 2025
Graph Laplacian-based Bayesian Multi-fidelity Modeling
Computer Methods in Applied Mechanics and Engineering (CMAME), 2024
Orazio Pinti
Jeremy M. Budd
Franca Hoffmann
Assad A. Oberai
276
2
0
12 Sep 2024
Multifidelity linear regression for scientific machine learning from scarce data
Foundations of Data Science (FDS), 2024
Elizabeth Qian
Dayoung Kang
Vignesh Sella
Anirban Chaudhuri
AI4CE
289
5
0
13 Mar 2024
Multi-Fidelity Residual Neural Processes for Scalable Surrogate Modeling
Ruijia Niu
D. Wu
Kai Kim
Yi-An Ma
D. Watson‐Parris
Rose Yu
AI4CE
319
13
0
29 Feb 2024
PINN surrogate of Li-ion battery models for parameter inference. Part I: Implementation and multi-fidelity hierarchies for the single-particle model
Journal of Energy Storage (J. Energy Storage), 2023
M. Hassanaly
Peter J. Weddle
Ryan N. King
Subhayan De
Alireza Doostan
Corey R. Randall
Eric J. Dufek
Andrew M. Colclasure
Kandler Smith
257
27
0
28 Dec 2023
A Physics-Guided Bi-Fidelity Fourier-Featured Operator Learning Framework for Predicting Time Evolution of Drag and Lift Coefficients
Fluids (Fluids), 2023
Amirhossein Mollaali
Izzet Sahin
Iqrar Raza
Christian Moya
Guillermo Paniagua
Guang Lin
210
4
0
07 Nov 2023
Interpreting and generalizing deep learning in physics-based problems with functional linear models
Engineering computations (Eng. Comput.), 2023
Amirhossein Arzani
Lingxiao Yuan
P. Newell
Bei Wang
AI4CE
320
11
0
10 Jul 2023
Bi-fidelity Variational Auto-encoder for Uncertainty Quantification
Computer Methods in Applied Mechanics and Engineering (CMAME), 2023
Nuojin Cheng
Osman Asif Malik
Subhayan De
Stephen Becker
Alireza Doostan
280
13
0
25 May 2023
Disentangled Multi-Fidelity Deep Bayesian Active Learning
International Conference on Machine Learning (ICML), 2023
D. Wu
Ruijia Niu
Matteo Chinazzi
Yi-An Ma
Rose Yu
AI4CE
354
14
0
07 May 2023
A Bi-fidelity DeepONet Approach for Modeling Uncertain and Degrading Hysteretic Systems
Subhayan De
P. Brewick
259
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
158
0
0
29 Mar 2023
Feature-adjacent multi-fidelity physics-informed machine learning for partial differential equations
Wenqian Chen
P. Stinis
OOD
AI4CE
343
10
0
21 Mar 2023
Probabilistic Neural Data Fusion for Learning from an Arbitrary Number of Multi-fidelity Data Sets
Social Science Research Network (SSRN), 2023
Carlos Mora
J. Eweis-Labolle
Tyler B. Johnson
Likith Gadde
Ramin Bostanabad
AI4CE
183
13
0
30 Jan 2023
Context-aware learning of hierarchies of low-fidelity models for multi-fidelity uncertainty quantification
Computer Methods in Applied Mechanics and Engineering (CMAME), 2022
Ionut-Gabriel Farcas
Benjamin Peherstorfer
T. Neckel
Frank Jenko
H. Bungartz
AI4CE
211
16
0
20 Nov 2022
Multi-fidelity wavelet neural operator with application to uncertainty quantification
A. Thakur
Tapas Tripura
S. Chakraborty
231
16
0
11 Aug 2022
Multi-fidelity Hierarchical Neural Processes
Knowledge Discovery and Data Mining (KDD), 2022
D. Wu
Matteo Chinazzi
Alessandro Vespignani
Yi-An Ma
Rose Yu
AI4CE
198
19
0
10 Jun 2022
Multifidelity data fusion in convolutional encoder/decoder networks
Journal of Computational Physics (JCP), 2022
Lauren Partin
Gianluca Geraci
A. Rushdi
M. Eldred
Daniele E. Schiavazzi
UQCV
AI4CE
127
16
0
10 May 2022
Use of Multifidelity Training Data and Transfer Learning for Efficient Construction of Subsurface Flow Surrogate Models
Journal of Computational Physics (JCP), 2022
Su Jiang
L. Durlofsky
AI4CE
210
43
0
23 Apr 2022
Bi-fidelity Modeling of Uncertain and Partially Unknown Systems using DeepONets
Computational Mechanics (Comput. Mech.), 2022
Subhayan De
Matthew J. Reynolds
M. Hassanaly
Ryan N. King
Alireza Doostan
AI4CE
280
46
0
03 Apr 2022
Neural Network Training Using
ℓ
1
\ell_1
ℓ
1
-Regularization and Bi-fidelity Data
Journal of Computational Physics (JCP), 2021
Subhayan De
Alireza Doostan
217
30
0
27 May 2021
Bi-fidelity Reduced Polynomial Chaos Expansion for Uncertainty Quantification
Computational Mechanics (CM), 2021
F. Newberry
Jerrad Hampton
K. Jansen
Alireza Doostan
163
6
0
15 Apr 2021
Prediction of Ultrasonic Guided Wave Propagation in Solid-fluid and their Interface under Uncertainty using Machine Learning
Journal of engineering mechanics (J. Eng. Mech.), 2021
Subhayan De
B. Hai
Alireza Doostan
M. Bause
76
2
0
30 Mar 2021
A transfer learning metamodel using artificial neural networks applied to natural convection flows in enclosures
M. Ashouri
Alireza Hashemi
AI4CE
117
2
0
28 Aug 2020
Uncertainty Quantification of Locally Nonlinear Dynamical Systems using Neural Networks
Journal of computing in civil engineering (J. Comput. Civ. Eng.), 2020
Subhayan De
128
10
0
11 Aug 2020
Transfer learning based multi-fidelity physics informed deep neural network
S. Chakraborty
PINN
OOD
AI4CE
338
204
0
19 May 2020
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