Challenges and opportunities of generative models on tabular data

Alex X. Wang, Stefanka S. Chukova, Colin R. Simpson, Binh P. Nguyen

Abstract: Highlights•Compare different generative models for tabular data.•Showcase the performance and highlight the pros and cons of the models.•Provide insights into the performance of each model under different conditions.•Deep generative models have the potential to generate high-quality tabular data.•Propose future research directions for deep generative models for tabular data.