Generating Balanced Mixed-Type Tabular Data Using Diffusion Models with Multivariate Conditioning

This research introduces a novel diffusion-based framework to generate balanced mixed-type tabular data by incorporating multivariate conditioning on labels and sensitive attributes during the sampling process.