Extending Tabular Denoising Diffusion Probabilistic Models for Time-Series Data Generation
arXiv:2604.05257v1 Announce Type: cross
Abstract: Diffusion models are increasingly being utilised to create synthetic tabular and time series data for privacy-preserving augmentation. Tabular Denoising Diffusion Probabilistic Models (TabDDPM) generat…