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PFN-Syn: Generating Synthetic Tabular Data with Prior-Data Fitted Networks

PFN-Syn achieves the highest average downstream utility among evaluated synthetic generators, with higher generation throughput than training-based baselines, while maintaining competitive distributional similarity and distance-to-closest-record privacy behavior.

M. Zuo, Inwon Kang, O. Seneviratne et al. · 0 citations