Inference-Time Refinement Closes the Synthetic-Real Gap in Tabular Diffusion

arXiv:2605.06261v1 Announce Type: cross Abstract: Diffusion-based generators set the current state of the art for synthetic tabular data. These methods approach but rarely exceed real-data utility, and closing this synthetic-real gap has so far been pursued exclusively at training time, via...