Generating Benchmark Health Data Using a Tabular Diffusion Transformer

By Hao Yan · Paper · cs.LG

Cross-Tabular Data Generation (CTDG) seeks to learn a generative model from multiple heterogeneous tables and produce new synthetic tabular datasets. However, existing synthetic tabular data generation methods are largely restricted to single-input-table scenarios and struggle to

Model Launch · Cs.lg

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