Generating High-Diversity Synthetic Tabular Data via Less-Constrained Prior
This work empirically demonstrate that the model, which relies on a single prior distribution, significantly improves the quality of the synthetic data, especially in terms of diversity.
Sanghun Park, Jaesung Lim, Jong-June Jeon et al.
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