Kai Syun Hou

Latent-to-Data Cascaded Diffusion Models for Unconditional Time Series Generation

Synthetic time series generation (TSG) is crucial for applications such as privacy preservation, data augmentation, and anomaly detection. A key challenge in TSG lies in modeling the multi-modal distributions of time series, which requires simultaneously capturing diverse high-level representation d…