ملف الباحث
Seunghwan An
ورقة واحدة في مجموعة PaperMetrix
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Masked Language Modeling Becomes Conditional Density Estimation for Tabular Data Synthesis
2025 · Proceedings of the AAAI Conference on Artificial Intelligence
In this paper, our goal is to generate synthetic data for heterogeneous (mixed-type) tabular datasets with high machine learning utility (MLu). Since the MLu performance depends on accurately approximating the conditional distributions, we focus on …