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20192022
most citedMisGAN: Learning from Incomplete Data with Generative Adversarial Networks

59 citations · 89 across the 5 of their papers we have counts for

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Showing 2021Show all

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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…