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Pareto GAN: Extending the Representational Power of GANs to Heavy-Tailed
  Distributions

Pareto GAN: Extending the Representational Power of GANs to Heavy-Tailed Distributions

22 January 2021
Todd P. Huster
Jérémy E. Cohen
Zinan Lin
Kevin S. Chan
Charles A. Kamhoua
Nandi O. Leslie
C. Chiang
Vyas Sekar
    GAN
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Papers citing "Pareto GAN: Extending the Representational Power of GANs to Heavy-Tailed Distributions"

3 / 3 papers shown
Title
Combining deep generative models with extreme value theory for synthetic
  hazard simulation: a multivariate and spatially coherent approach
Combining deep generative models with extreme value theory for synthetic hazard simulation: a multivariate and spatially coherent approach
Alison Peard
Jim Hall
AI4CE
16
2
0
30 Nov 2023
Modelling and simulating spatial extremes by combining extreme value
  theory with generative adversarial networks
Modelling and simulating spatial extremes by combining extreme value theory with generative adversarial networks
Younes Boulaguiem
Jakob Zscheischler
Edoardo Vignotto
K. Wiel
Sebastian Engelke
9
2
0
30 Oct 2021
Student's t-Generative Adversarial Networks
Student's t-Generative Adversarial Networks
Jinxuan Sun
G. Zhong
Yang Chen
Yongbin Liu
Tao Li
Zhongwen Guo
GAN
22
1
0
06 Nov 2018
1