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CDMD: A Cross-Dataset Mixed-Type Diffusion Model for Tabular Data
Generative models for tabular data are typically trained separately for each dataset, limiting knowledge transfer and requiring the storage of many specialized models. In this paper, we introduce CDMD, a tabular diffusion model trained jointly across heterogeneous datasets with different schemas and
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