198 citations · 481 across the 31 of their papers we have counts for
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cs.LG2019★ 198 cited
Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions
Zinan Lin, Alankar Jain, Chen Wang +2
Limited data access is a longstanding barrier to data-driven research and development in the networked systems community. In this work, we explore if and how generative adversarial…
cs.LG2019★ 43 cited
InfoGAN-CR and ModelCentrality: Self-supervised Model Training and Selection for Disentangling GANs
Zinan Lin, Kiran Koshy Thekumparampil, Giulia Fanti +1
Disentangled generative models map a latent code vector to a target space, while enforcing that a subset of the learned latent codes are interpretable and associated with distinct…