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Application of Deep Learning-based Interpolation Methods to Nearshore
  Bathymetry

Application of Deep Learning-based Interpolation Methods to Nearshore Bathymetry

19 November 2020
Yizhou Qian
M. Forghani
Jonghyun Lee
Matthew W. Farthing
T. Hesser
P. Kitanidis
Eric F. Darve
    AI4CE
ArXiv (abs)PDFHTML

Papers citing "Application of Deep Learning-based Interpolation Methods to Nearshore Bathymetry"

2 / 2 papers shown
The efficacy and generalizability of conditional GANs for posterior
  inference in physics-based inverse problems
The efficacy and generalizability of conditional GANs for posterior inference in physics-based inverse problemsNumerical Algebra, Control and Optimization (NACO), 2022
Deep Ray
Harisankar Ramaswamy
Dhruv V. Patel
Assad A. Oberai
CMLAI4CE
261
22
0
15 Feb 2022
A framework for data-driven solution and parameter estimation of PDEs
  using conditional generative adversarial networks
A framework for data-driven solution and parameter estimation of PDEs using conditional generative adversarial networksNature Computational Science (Nat. Comput. Sci.), 2021
T. Kadeethum
Daniel O’Malley
J. Fuhg
Youngsoo Choi
Jonghyun Lee
Hari S. Viswanathan
N. Bouklas
AI4CE
175
101
0
27 May 2021
1
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