Physics-Informed Dataset Distillation.
Dataset Distillation (DD) compresses a large real dataset into a substantially smaller synthetic set for training purposes while preserving the essential semantic information. Distribution-matching DD methods empirically design statistical alignment losses to optimize the synthetic set, aiming to preserve the crucial r...