Synthetic Tabular Data Generation

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8 papers in the last four weeks, up 100% on the four weeks before. 0.1% of all new papers.

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  1. PEG-Tab: Sampling-Time Record Repair and Release Control for Tabular Synthesis

    Sep 30, 2026Pengfei Li, QinYi Liu, Mohammad KhalilSynthetic Data GenerationSynthetic Tabular Data Generation

  2. MIND: Marginal-Invariant Neural Dependency Diffusion for Mixed-Type Tabular Generation

    Sep 30, 2026Pengfei Li, Mohammad KhalilCopula ModelsSynthetic Tabular Data Generation

    Centre for the Science of Learning & Technology (SLATE), University of Bergen, Bergen, Norway

  3. Interpretable Synthetic Medical Tabular Data Generation for Clinical Decision Support Using Fuzzy Cognitive Maps

    Sep 30, 2026Michael Vasilakakis, Dimitris K. IakovidisSynthetic Data GenerationSynthetic Tabular Data Generation

    Department of Computer Science and Biomedical Informatics, University of Thessaly, Lamia, Greece · Department of Computer Science and Biomedical Informatics University of Thessaly Lamia, Greece

  4. CDMD: A Cross-Dataset Mixed-Type Diffusion Model for Tabular Data

    Sep 30, 2026Mohamed Amine Ketata, Maximilian Schambach, Stephan GünnemannMasked Diffusion ModelsTabular Diffusion Models

    Munich Data Science Institute, Technical University of Munich, Germany · SAP SE, Germany

  5. Synthesis Without Training: An Inference-Only Pipeline for Tabular, Temporal, and Relational Synthetic Data

    Sep 29, 2026Zilong Zhao, Abdul Raheem, Jiayu Li +5Constrained Generative ModelingSynthetic Data Generation

    Betterdata AI · National University of Singapore · University of Illinois Urbana-Champaign +1

  6. From Data to Program: Fast & Direct Generative Program Inference from Empirical Data

    Sep 28, 2026Simon Klüttermann, Xueying Ding, Leman AkogluProgram SynthesisSynthetic Tabular Data Generation

    Carnegie Mellon University

  7. Fuzzy Distribution Modeling for Synthetic Tabular Data Generation with Causality Preservation

    Sep 28, 2026Michael Vasilakakis, Dimitris K. IakovidisSynthetic Data GenerationSynthetic Tabular Data Generation

    Department of Computer Science and Biomedical Informatics, University of Thessaly, Lamia, Greece

  8. LEBGen: An LLM-Enhanced Bayesian Network Framework for Few-Shot Travel Survey Data Generation

    Sep 8, 2026Zijian Shen, Bin Zhou, Jiguang Wang +2Bayesian NetworksSynthetic Data Generation

    Department of Civil Engineering, The University of Hong Kong · Department of Urban Planning and Design, The University of Hong Kong

  9. Portable Causal Fairness Across Synthetic Data Generator Families

    Sep 2, 2026Steven Golob, Sikha Pentyala, Martine De CockAlgorithmic FairnessSynthetic Tabular Data Generation

    University of Washington Tacoma

  10. Creation begins with understanding: LLMs as strategy designers for privacy-preserving tabular data synthesis

    Aug 30, 2026Jinmeng Li, Quan Zhang, Hangting Ye +4Synthetic Tabular Data GenerationPrivacy-Preserving ML

    School of Artificial Intelligence, Jilin University, Changchun, China · Broad College of Business, Michigan State University, East Lansing, USA · Commonwealth Scientific and Industrial Research Organisation (CSIRO), Australia +2

  11. CoMedBench: A Multi-Source Benchmark of Synthetic Medical Data Fidelity and Downstream Utility

    Aug 13, 2026Akanta Das, Al Amin Farhad, Mrinmoy Sarkar Anto +3Benchmark DesignSynthetic Data Generation

    Bangladesh University of Engineering and Technology, Dhaka, Bangladesh · School of Medicine, Stanford University, Stanford, California, United States

  12. TailBooster: A Dual-Layer Generative Framework for Extreme Value Augmentation with Operational Validity Enforcement

    Aug 12, 2026Karim Aly, Alexei Sharpanskykh, Jacco HoekstraData AugmentationSynthetic Tabular Data Generation

    Control and Operations, Faculty of Aerospace Engineering, Delft University of Technology (TU Delft), Kluyverweg 1, Delft, 2629 HS, South Holland, Netherlands

  13. FUSE: Feature-Wise Unified Specialization with Cross-Column Exchange for Mixed-Type Tabular Flow Matching

    Aug 7, 2026Suman Cha, Seongchan Lee, Dohyun Ko +1Flow MatchingSynthetic Tabular Data Generation

    Department of Statistics and Data Science, Yonsei University · Department of Mathematical Sciences, KAIST

  14. LAB-Tab: LLM-Augmented Bayesian Network Adaptation for Few-Shot Tabular Generation

    Aug 3, 2026Zijian Shen, Taijie Chen, Bin Zhou +2Bayesian NetworksSynthetic Tabular Data Generation

    Department of Civil Engineering, The University of Hong Kong

  15. FairDiffuseVQVAE: Sampling-Time Fairness in Tabular Diffusion via Conditional Refinement of Vector-Quantized Latents

    Jul 31, 2026Nitish Nagesh, Mahdi Bagheri, Amir M. RahmaniAlgorithmic FairnessDiffusion Sampling

    University of California, Irvine

  16. Logit-Coordinate Generative Models for Mixed Continuous-Categorical Tabular Data

    Jul 25, 2026Yuefei Shen, Xiaotong ShenFlow MatchingSynthetic Tabular Data Generation

    School of Statistics, University of Minnesota

  17. SynPre-FL: Synthetic data-driven pretraining integrated Federated Learning training framework

    Jul 21, 2026Akarsh K Nair, Muhammad Arifur Rahman, Nicholas Shopland +8Synthetic Data PretrainingClinical Outcome Prediction

    Department of Computer Science, Nottingham Trent University, Nottingham, United Kingdom · Division of Epidemiology and Public Health, University of Nottingham, Nottingham, United Kingdom · Information and Computer Science Department, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia +1

  18. Measuring the Dependency Gap: Diagnosing Inter-Column Fidelity in Tabular Generative Models

    Jul 20, 2026Jie ZhangTwo-Sample TestingSynthetic Tabular Data Generation

    Accenture, Tokyo 107-8672, Japan

  19. Quantum-Enhanced Synthetic Data Generation Using Quantum Circuit Born Machines for Imbalanced Tabular Learning

    Jul 10, 2026Tanapol Nuatho, Narisorn Sangnakara, Prapong Prechaprapranwong +1Class-Imbalanced LearningQuantum Machine Learning

    Department of Computer Engineering King Mongkut’s University of Technology Thonburi Bangkok, Thailand

  20. TabQueryBench: A Query-Centric Benchmark for Synthetic Tabular Data

    Jul 4, 2026Jialin Zhang, Fenghao Dong, Yajie Zhou +2Benchmark DesignSynthetic Tabular Data Generation

    †University of Hong Kong ¶Tongji University · ‡Carnegie Mellon University · §University of Maryland, College Park

  21. TDGT: A Tabular Data Generation Toolkit supporting adaptive GPU-accelerated Bayesian mixture models, diffusion-based models, and latent-space generative modeling

    Jun 30, 2026Vasileios C. Pezoulas, Nikolaos S. Tachos, Eleni Georga +3Bayesian Mixture ModelsBayesian Inference

    SYNTHAINA AI, Ioannina, Greece

  22. Cross-Domain Feature Expansion for Tabular Medical Data via Knowledge Graphs Injection

    Jun 30, 2026Mengying Zhou, Yongjie Yin, Haoyan Xin +2Incomplete Data ImputationSynthetic Tabular Data Generation

    School of Computing and Artificial Intelligence, Shanghai University of Finance and Economics · College of Computer Science and Artificial Intelligence, Fudan University · Independent Researcher +1

  23. Constrained Tabular Diffusion for Finance

    Jun 27, 2026Michael Cardei, Jose M Munoz, Oscar Barrera +2Quantitative FinanceDiffusion Model Sampling

    University of Virginia · Massachusetts Institute of Technology · Harvard University +1

  24. Counterfactual Residual Data Augmentation for Regression

    Jun 26, 2026Hossein Mohebbi, Oliver Schulte, Ke Li +1Synthetic Tabular Data GenerationCounterfactual Data Augmentation

    University of Waterloo · Vector Institute · Simon Fraser University.

  25. OncoSynth: Synthetic data generation for treatment effect estimation in oncology

    Jun 24, 2026Octavia-Andreea Ciora, Julian Welzel, Dennis Frauen +6Causal Effect EstimationSynthetic Data Generation

    1LMU Munich, Munich, Germany · 2Munich Center for Machine Learning (MCML), Munich, Germany · Department of Applied Mathematics and Theoretical Physics, University of Cambridge, Cambridge, United Kingdom +3

  26. ERP Data Provisioning Financial Control Testing

    Jun 23, 2026Anitha SamudralaSynthetic Tabular Data GenerationSynthetic Data Evaluation

    AMAZON CORPORATION

  27. Understanding Latent Flow Models for Tabular Data Synthesis: Targets, Paths, and Sampling

    Jun 18, 2026Bahrul Ilmi NasutionSynthetic Tabular Data GenerationContinuous Normalizing Flows

    Department of Social Statistics, The University of Manchester, UK

  28. Synthetic Network Packet Generation through Statistical Learning and Genetic Algorithms

    Jun 18, 2026Mayank Raj, Nathaniel D. Bastian, Lance Fiondella +1Synthetic Data GenerationSynthetic Tabular Data Generation

    University of Massachusetts Dartmouth Dartmouth, MA USA · United States Military Academy West Point, NY USA

  29. PSyGenTAB: A Privacy-Preserving Framework for Synthetic Clinical Tabular Data Generation via Constrained Optimization

    Jun 16, 2026Arshia Ilaty, Hossein Shirazi, Manasi Chitale +5Synthetic Tabular Data GenerationTabular Data Synthesis

    San Diego State University, San Diego, CA 92182 USA. · University of California, Irvine, CA 92697 USA.

  30. Causal-Privacy Audit Workflow for Synthetic and Distilled Data in Dropout Support

    Jun 14, 2026Hanghang Zheng, Xiwei Zhuang, Zhong Wang +4Privacy AuditingCausal Effect Estimation

    Central University of Finance and Economics, Beijing, PR China · China Development Bank, Beijing, PR China