GT-GAN: General Purpose Time Series Synthesis with Generative Adversarial Networks

no code implementations • 5 Oct 2022 • Jinsung Jeon, Jeonghak Kim, Haryong Song, Seunghyeon Cho, Noseong Park

Time series synthesis is an important research topic in the field of deep learning, which can be used for data augmentation.

Data Augmentation Generative Adversarial Network +3

IIT-GAN: Irregular and Intermittent Time-series Synthesis with Generative Adversarial Networks

no code implementations • 29 Sep 2021 • Jinsung Jeon, Jeonghak Kim, Haryong Song, Noseong Park

In this paper, we solve the problem of synthesizing irregular and intermittent time-series where values can be missing and may not have specific frequencies, which is far more challenging than existing settings.

Time Series Time Series Analysis