Preserving Temporal Dynamics in Time Series Generation
arXiv:2604.27182v1 Announce Type: new
Abstract: Time-series data augmentation plays a crucial role in regression-oriented forecasting tasks, where limited data restricts the performance of deep learning models. While Generative Adversarial Networks (G…