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cs.LG2025★ 1 cited
Assessing Generative Models for Structured Data
Reilly Cannon, Nicolette M. Laird, Caesar Vazquez +3
Synthetic tabular data generation has emerged as a promising method to address limited data availability and privacy concerns. With the sharp increase in the performance of large l…
cs.LG2024★ 1 cited
Understanding Generative AI Content with Embedding Models
Max Vargas, Reilly Cannon, Andrew Engel +2
Constructing high-quality features is critical to any quantitative data analysis. While feature engineering was historically addressed by carefully hand-crafting data representatio…