59 citations · 89 across the 5 of their papers we have counts for
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cs.LG2021★ 1 cited
Networked Time Series Prediction with Incomplete Data via Generative Adversarial Network
Yichen Zhu, Bo Jiang, Haiming Jin +5
A networked time series (NETS) is a family of time series on a given graph, one for each node. It has a wide range of applications from intelligent transportation, environment moni…
cs.LG2019★ 59 cited
MisGAN: Learning from Incomplete Data with Generative Adversarial Networks
Steven Cheng-Xian Li, Bo Jiang, Benjamin Marlin
Generative adversarial networks (GANs) have been shown to provide an effective way to model complex distributions and have obtained impressive results on various challenging tasks.…