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Fuzzy Distribution Modeling for Synthetic Tabular Data Generation with Causality Preservation.

arXiv:2609.34349v1 Announce Type: new Abstract: Synthetic tabular data generation provides an effective alternative for the training of machine learning models when real-world data is limited or inaccessible. However, the heterogeneous, non-smooth, and incompl

arXiv cs.AIResearch source·