tabular data generation

Active Tabular Augmentation via Policy-Guided Diffusion Inpainting
Generative tabular augmentation is appealing in data-scarce domains, yet the prevailing focus on distributional fidelity does not …
Zheyu Zhang, Shuo Yang, Bardh Prenkaj, Gjergji Kasneci
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SAGE: Sparse Adaptive Guidance for Dependency-Aware Tabular Data Generation
Generating high-fidelity synthetic tabular data remains a critical challenge for enhancing data availability in privacy-sensitive and …
Shuo Yang, Zheyu Zhang, Bardh Prenkaj, Gjergji Kasneci
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TabSCM: A practical Framework for Generating Realistic Tabular Data
Most tabular-data generators match marginal statistics yet ignore causal structure, leading downstream models to learn spurious or …
Sven Jacob, Bardh Prenkaj, Weijia Shao, Gjergji Kasneci
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Doubling Your Data in Minutes: Ultra-fast Tabular Data Generation via LLM-Induced Dependency Graphs
Tabular data is critical across diverse domains, yet high-quality datasets remain scarce due to privacy concerns and the cost of …
Shuo Yang, Zheyu Zhang, Bardh Prenkaj, Gjergji Kasneci
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Not All Features Deserve Attention: Graph-Guided Dependency Learning for Tabular Data Generation with Language Models
Large Language Models (LLMs) have shown strong potential for tabular data generation by modeling textualized feature-value pairs. …
Zheyu Zhang, Shuo Yang, Bardh Prenkaj, Gjergji Kasneci
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