Reimagining Synthetic Tabular Data Generation through Data-Centric AI: A Comprehensive Benchmark

25 October 2023

Papers citing "Reimagining Synthetic Tabular Data Generation through Data-Centric AI: A Comprehensive Benchmark"

8 / 8 papers shown

Title
A Comprehensive Survey of Synthetic Tabular Data Generation Ruxue Shi Yili Wang Mengnan Du Xu Shen Xin Wang 30 1 0 23 Apr 2025
Targeted synthetic data generation for tabular data via hardness characterization Tommaso Ferracci Leonie Goldmann Anton Hinel Francesco Sanna Passino 53 0 0 01 Oct 2024
DAGMA: Learning DAGs via M-matrices and a Log-Determinant Acyclicity Characterization Kevin Bello Bryon Aragam Pradeep Ravikumar 48 51 0 16 Sep 2022
Robin Hood and Matthew Effects: Differential Privacy Has Disparate Impact on Synthetic Data Georgi Ganev Bristena Oprisanu Emiliano De Cristofaro 24 57 0 23 Sep 2021
Conditional Synthetic Data Generation for Robust Machine Learning Applications with Limited Pandemic Data Hari Prasanna Das Ryan Tran Japjot Singh Xiangyu Yue G. Tison Alberto L. Sangiovanni-Vincentelli C. Spanos OOD MedIm 50 51 0 14 Sep 2021
MLReal: Bridging the gap between training on synthetic data and real data applications in machine learning T. Alkhalifah Hanchen Wang O. Ovcharenko OOD 33 63 0 11 Sep 2021
How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating and Auditing Generative Models Ahmed Alaa B. V. Breugel Evgeny S. Saveliev M. Schaar 38 135 0 17 Feb 2021
Estimating Example Difficulty Using Variance of Gradients Chirag Agarwal Daniel D'souza Sara Hooker 190 103 0 26 Aug 2020