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Multi-fidelity regression using artificial neural networks: efficient
  approximation of parameter-dependent output quantities

Multi-fidelity regression using artificial neural networks: efficient approximation of parameter-dependent output quantities

26 February 2021
Mengwu Guo
Andrea Manzoni
Maurice Amendt
Paolo Conti
J. Hesthaven
ArXivPDFHTML

Papers citing "Multi-fidelity regression using artificial neural networks: efficient approximation of parameter-dependent output quantities"

3 / 3 papers shown
Title
Multi-Fidelity Bayesian Neural Network for Uncertainty Quantification in
  Transonic Aerodynamic Loads
Multi-Fidelity Bayesian Neural Network for Uncertainty Quantification in Transonic Aerodynamic Loads
Andrea Vaiuso
Gabriele Immordino
Marcello Righi
A. Ronch
AI4CE
29
0
0
08 Jul 2024
Multifidelity data fusion in convolutional encoder/decoder networks
Multifidelity data fusion in convolutional encoder/decoder networks
Lauren Partin
Gianluca Geraci
A. Rushdi
M. Eldred
Daniele E. Schiavazzi
UQCV
AI4CE
12
13
0
10 May 2022
An extended physics informed neural network for preliminary analysis of
  parametric optimal control problems
An extended physics informed neural network for preliminary analysis of parametric optimal control problems
N. Demo
M. Strazzullo
G. Rozza
PINN
8
33
0
26 Oct 2021
1