TimeGAN

The seminal paper for the timeGAN model: [Jinsung Yoon et al.]

There are some articles describing training timeGAN models on different data:

• Stock data: [Fabiana Clemente]
• Energy data: [Archit Yadav]
• Financial data: [Sulabh Soral]

The first two references are relevant to the GAN repo, with hyperparameter explanations and used the same experiment data source as the paper [Jinsung Yoon et al.]. The third one is an experiment of Deloitte's work.

Review paper: [Eoin Brophy]

Reference

• [Archit Yadav] Medium, Modeling and Generating Time-Series Data using TimeGAN

• [Eoin Brophy] Generative Adversarial Networks in Time Series: A Systematic Literature Review

• [Fabiana Clemente] Medium, Synthetic Time-Series Data: A GAN approach

• [Jinsung Yoon et al.] Time-series Generative Adversarial Networks

• [Sulabh Soral] Deloitte, Timeseries Generative Adversarial Networks: Current Account Transactions

• [Zhifu, dreamhomes] 时间序列丨基于 TimeGAN 模型生成时间序列数据及其 Python 实践