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Data-Driven Modeling of Noise Time Series with Convolutional Generative
  Adversarial Networks

Data-Driven Modeling of Noise Time Series with Convolutional Generative Adversarial Networks

3 July 2022
A. Wunderlich
Jack G. Sklar
    AI4TS
ArXivPDFHTML

Papers citing "Data-Driven Modeling of Noise Time Series with Convolutional Generative Adversarial Networks"

1 / 1 papers shown
Title
Pareto GAN: Extending the Representational Power of GANs to Heavy-Tailed
  Distributions
Pareto GAN: Extending the Representational Power of GANs to Heavy-Tailed Distributions
Todd P. Huster
Jérémy E. Cohen
Zinan Lin
Kevin S. Chan
Charles A. Kamhoua
Nandi O. Leslie
C. Chiang
Vyas Sekar
GAN
30
26
0
22 Jan 2021
1