E4GEN: Event-level Explainable Extreme-Enhanced Time-series Generation 事件

E4GEN: Event-level Explainable Extreme-Enhanced Time-series Generation arXiv:2606.01634v1 Announce Type: cross Abstract: Generating realistic time series is essential for scientific research and real-world applications. However, existing methods often emphasize overall distributional fidelity while failing to faithfully capture extreme events. To advance existing research, we propose E4GEN, an explainable diffusion framework for extreme event-aware time-series generation. E4GEN provides systema