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Using GANs for Sharing Networked Time Series Data: Challenges, Initial
  Promise, and Open Questions

Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions

30 September 2019
Zinan Lin
Alankar Jain
Chen Wang
Giulia Fanti
Vyas Sekar
ArXivPDFHTML

Papers citing "Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions"

3 / 3 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
38
26
0
22 Jan 2021
Generating Multi-label Discrete Patient Records using Generative
  Adversarial Networks
Generating Multi-label Discrete Patient Records using Generative Adversarial Networks
E. Choi
Siddharth Biswal
B. Malin
J. Duke
Walter F. Stewart
Jimeng Sun
SyDa
GAN
156
569
0
19 Mar 2017
Conditional Image Synthesis With Auxiliary Classifier GANs
Conditional Image Synthesis With Auxiliary Classifier GANs
Augustus Odena
C. Olah
Jonathon Shlens
GAN
238
3,190
0
30 Oct 2016
1