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Differentiable Multi-Fidelity Fusion: Efficient Learning of Physics
  Simulations with Neural Architecture Search and Transfer Learning

Differentiable Multi-Fidelity Fusion: Efficient Learning of Physics Simulations with Neural Architecture Search and Transfer Learning

12 June 2023
Yuwen Deng
Wang Kang
Wei W. Xing
    OOD
    AI4CE
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Papers citing "Differentiable Multi-Fidelity Fusion: Efficient Learning of Physics Simulations with Neural Architecture Search and Transfer Learning"

1 / 1 papers shown
Title
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
Mengwu Guo
Andrea Manzoni
Maurice Amendt
Paolo Conti
J. Hesthaven
70
95
0
26 Feb 2021
1