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GFN: A graph feedforward network for resolution-invariant reduced
  operator learning in multifidelity applications

GFN: A graph feedforward network for resolution-invariant reduced operator learning in multifidelity applications

5 June 2024
Oisín M. Morrison
F. Pichi
J. Hesthaven
    AI4CE
ArXiv (abs)PDFHTML

Papers citing "GFN: A graph feedforward network for resolution-invariant reduced operator learning in multifidelity applications"

2 / 2 papers shown
Title
Time Extrapolation with Graph Convolutional Autoencoder and Tensor Train Decomposition
Time Extrapolation with Graph Convolutional Autoencoder and Tensor Train Decomposition
Yuanhong Chen
F. Pichi
Zhen Gao
G. Rozza
AI4TSAI4CE
54
0
0
28 Nov 2025
Optimal Transport-inspired Deep Learning Framework for Slow-Decaying Kolmogorov n-width Problems: Exploiting Sinkhorn Loss and Wasserstein Kernel
Optimal Transport-inspired Deep Learning Framework for Slow-Decaying Kolmogorov n-width Problems: Exploiting Sinkhorn Loss and Wasserstein Kernel
M. Khamlich
F. Pichi
G. Rozza
298
5
0
26 Aug 2023
1