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Data-Space Inversion Using a Recurrent Autoencoder for Time-Series
  Parameterization

Data-Space Inversion Using a Recurrent Autoencoder for Time-Series Parameterization

30 April 2020
Su Jiang
L. Durlofsky
ArXivPDFHTML

Papers citing "Data-Space Inversion Using a Recurrent Autoencoder for Time-Series Parameterization"

2 / 2 papers shown
Title
Deep Learning for Simultaneous Inference of Hydraulic and Transport
  Properties
Deep Learning for Simultaneous Inference of Hydraulic and Transport Properties
Zitong Zhou
N. Zabaras
D. Tartakovsky
26
16
0
24 Oct 2021
3D CNN-PCA: A Deep-Learning-Based Parameterization for Complex Geomodels
3D CNN-PCA: A Deep-Learning-Based Parameterization for Complex Geomodels
Yimin Liu
L. Durlofsky
AI4CE
11
60
0
16 Jul 2020
1