| From Private to Public: Benchmarking GANs in the Context of Private Time Series Classification | Mar 28, 2023 | BenchmarkingPrivacy Preserving | —Unverified | 0 |
| Regular Time-series Generation using SGM | Jan 20, 2023 | DenoisingDiversity | —Unverified | 0 |
| Neural SDEs for Conditional Time Series Generation and the Signature-Wasserstein-1 metric | Jan 3, 2023 | Time SeriesTime Series Analysis | CodeCode Available | 0 |
| StyleTime: Style Transfer for Synthetic Time Series Generation | Sep 22, 2022 | Data AugmentationStyle Transfer | —Unverified | 0 |
| Data augmentation through multivariate scenario forecasting in Data Centers using Generative Adversarial Networks | Jan 12, 2022 | Data AugmentationTime Series | CodeCode Available | 0 |
| Leveraging Image-based Generative Adversarial Networks for Time Series Generation | Dec 15, 2021 | DisentanglementTime Series | —Unverified | 0 |
| ECG synthesis with Neural ODE and GAN models | Oct 30, 2021 | Generative Adversarial NetworkTime Series | —Unverified | 0 |
| Quantum Quantile Mechanics: Solving Stochastic Differential Equations for Generating Time-Series | Aug 6, 2021 | Financial AnalysisTime Series | —Unverified | 0 |
| Towards Synthetic Multivariate Time Series Generation for Flare Forecasting | May 16, 2021 | Generative Adversarial NetworkSynthetic Data Generation | —Unverified | 0 |
| Conditional Loss and Deep Euler Scheme for Time Series Generation | Feb 10, 2021 | Time SeriesTime Series Analysis | —Unverified | 0 |
