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Author

Mikhail Hushchyn

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Conference Jun 2026

Synthetic Tabular Data Generation for Data Storage Systems

The generation of synthetic tabular data has emerged as a critical technique for addressing data scarcity, privacy concerns, and the need for augmented training datasets in machine learning applications. This study investigates the applicability and effectiveness of state-of-the-art generative models for synthesizing p...

Kirill Katsuba, S. Ivanov, S. Polyakov et al. · 0 citations

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