| Article (PDF): | https://escholarship.org/uc/item/33h6w78g |
| Title: | The Great GAN Bake Off, An Extensive Systematic Evaluation of Generative Adversarial Network Architectures for Time Series Synthesis |
| Author(s): | Leznik, Mark and Lochner, Arne and Wesner, Stefan and Domaschka, Jörg |
| Journal: | Journal of Systems Research |
| Year: | 2022 |
| Month: | sep |
| Volume: | 2 |
| Issue: | 1 |
| Number: | |
| DOI: | 10.5070/SR32159045 |
| Code URL: | - |
| Code DOI: | - |
| Data URL: | - |
| Data DOI: | - |
| Review URL: | https://openreview.net/forum?id=S6fWW0G9t0t |
| Cite as: | Leznik, M., Lochner, A., Wesner, S., and Domaschka, J. 2022. The Great GAN Bake Off, An Extensive Systematic Evaluation of Generative Adversarial Network Architectures for Time Series Synthesis. Journal of Systems Research 2, 1. |