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Encoding large scale cosmological structure with Generative Adversarial
  Networks

Encoding large scale cosmological structure with Generative Adversarial Networks

10 November 2020
Marion Ullmo
A. Decelle
N. Aghanim
    GANAI4CE
ArXiv (abs)PDFHTML

Papers citing "Encoding large scale cosmological structure with Generative Adversarial Networks"

3 / 3 papers shown
An information theoretic limit to data amplification
An information theoretic limit to data amplification
S. J. Watts
L. Crow
137
1
0
23 Dec 2024
A review of Generative Adversarial Networks (GANs) and its applications
  in a wide variety of disciplines -- From Medical to Remote Sensing
A review of Generative Adversarial Networks (GANs) and its applications in a wide variety of disciplines -- From Medical to Remote Sensing
Ankan Dash
J. Ye
Guiling Wang
MedImAI4CE
180
143
0
01 Oct 2021
Survey2Survey: A deep learning generative model approach for
  cross-survey image mapping
Survey2Survey: A deep learning generative model approach for cross-survey image mappingMonthly notices of the Royal Astronomical Society (MNRAS), 2020
B. Buncher
A. N. Sharma
M. Kind
MedIm
197
7
0
13 Nov 2020
1
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