Flow Matching with Missing Data

RICHMOND PUBLIC SCHOOLS faces questions regarding missing pay data, while Superintendent Jason Kamras implemented a five-day furlough for cost-saving. Separately, a new arXiv paper introduces Missing-Data Flow Matching to address incomplete training data in real-world applications. This method treats missing coordinates as latent variables and averages the flow matching loss. The researchers prove the correction is exact, ensuring that under specific conditions, the incomplete-data objective equals the complete-data objective for the completion model.