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

  31. BSTabDiff: Block-Subunit Diffusion Priors for High-Dimensional Tabular Data Generation

    Jun 8, 2026Al Zadid Sultan Bin Habib, Md Younus Ahamed, Prashnna Gyawali +2Copula ModelsSynthetic Tabular Data Generation

    1,2,3,5Lane Department of Computer Science and Electrical Engineering West Virginia University, Morgantown, WV 26506, USA · 4Scientific Computing and Imaging Institute & Department of Biomedical Informatics The University of Utah, Salt Lake City, UT 84112, USA

  32. Synthetic but Not Realistic: The Evaluation Challenge in Generative Modelling for Structured Electronic Medical Records

    Jun 8, 2026Nicholas I-Hsien Kuo, Blanca Gallego, Louisa JormSynthetic Tabular Data GenerationElectronic Health Records

    Centre for Big Data Research in Health, the University of New South Wales, Sydney, Australia

  33. Declarative Outcome-Conformant Synthesis: Exact, Closed-Form Specification Satisfaction and a Conformance Benchmark

    Jun 7, 2026Muhammed RasinSynthetic Tabular Data GenerationSynthetic Benchmark Generation

    Independent Researcher

  34. SoK: Reconstruction Attacks on Synthetic Tabular Data (Insights from Winning the NIST CRC)

    Jun 6, 2026Steven Golob, Sikha Pentyala, Martine De CockPrivacy AuditingAdversarial Attacks

    School of Engineering and Technology, University of Washington Tacoma, Tacoma, WA, USA · Department of Mathematics, Computer Science, and Statistics, Ghent University, Gent, Belgium

  35. Differentially Private Synthetic Data via APIs 4: Tabular Data

    Jun 6, 2026Toan Tran, Arturs Backurs, Zinan Lin +3Synthetic Data GenerationSynthetic Tabular Data Generation

    Emory University · Microsoft Research

  36. AugMask: Training Diffusion Models on Incomplete Tabular Data via Stochastic Augmentation and Masking

    Jun 2, 2026Jungkyu Kim, Taeyoung Park, Kibok LeeLearning with Missing DataTabular Diffusion Models

    Department of Statistics and Data Science, Yonsei University, South Korea.

  37. It does what it says on the tin: safe synthetic data from coarsened margins

    Jun 1, 2026Gillian M RaabSynthetic Tabular Data Generation

    University of Edinburgh and the Scottish Centre for Administrative Data Research

  38. Hierarchical Synthetic Tabular Data Generation: A Hybrid Top-Down and Bottom-Up Framework

    May 27, 2026Junfeng Nie, Alvin Jin, Xiaohui ChenSynthetic Data GenerationSynthetic Tabular Data Generation

    AnyFluxion · University of Southern California

  39. Generating Logically Consistent Synthetic Supply Chain Data with LLM-Driven Knowledge Graph Reasoning

    May 26, 2026Yunbo Long, Ge Zheng, Liming Xu +1KG ConstructionSynthetic Data Generation

    Department of Engineering, University of Cambridge, Cambridge, United Kingdom · The Alan Turing Institute, London, United Kingdom

  40. PATE-TabTransGAN: Differentially Private Synthetic Tabular Data Generation via Transformer-Based Student Discrimination

    May 26, 2026M. Youssef, M. WoźniakSynthetic Tabular Data GenerationDifferential Privacy

    Wrocław University of Science and Technology, Wrocław, Poland

  41. Memisis: Orchestrating and Evaluating Synthetic Data for Tabular Health Datasets

    May 18, 2026Nitish Nagesh, Pengbao Zhou, Atchuth Naveen Chilaparasetti +8HealthcareSynthetic Tabular Data Generation

    University of California, Irvine, CA, USA · PathAI, USA

  42. TabKDE: Simple and Scalable Tabular Data Generation with Kernel Density Estimates

    May 17, 2026Meysam Alishahi, Yan Zheng, Junpeng Wang +2Copula ModelsSynthetic Tabular Data Generation

    University of Utah · Visa Research

  43. ReMIA: a Powerful and Efficient Alternative to Membership Inference Attacks against Synthetic Data Generators

    May 14, 2026Davide Scassola, Andrea Coser, Sebastiano SaccaniMembership Inference AttacksSynthetic Tabular Data Generation

    Aindo SpA Trieste, Italy

  44. Active Tabular Augmentation via Policy-Guided Diffusion Inpainting

    May 11, 2026Zheyu Zhang, Shuo Yang, Bardh Prenkaj +1Data AugmentationTabular Diffusion Models

    Technical University of Munich · Munich Center for Machine Learning (MCML)

  45. Concordia: Self-Improving Synthetic Tables for Federated LLMs

    May 11, 2026Jimin Huang, Duanyu Feng, Nuo Chen +8LLM Fine-TuningSynthetic Data Generation

    University of Manchester · The Fin AI · National University of Singapore +5

  46. Tabular Foundation Model for Generative Modelling

    May 10, 2026Xiangjian Jiang, Mingxuan Liu, Nikola Simidjievski +2Tabular Foundation ModelsSynthetic Tabular Data Generation

    Department of Computer Science and Technology, University of Cambridge, UK · SAP SE · Télécom Paris, Institut Polytechnique de Paris, France +1

  47. Multimodal synthesis of MRI and tabular data with diffusion in a joint latent space via cross-attention

    May 5, 2026Daniel Mensing, Jan Kapar, Jochen G. Hirsch +3Synthetic Tabular Data GenerationMultimodal Generation

    Fraunhofer Institute for Digital Medicine MEVIS, Bremen, Germany · Leibniz Institute for Prevention Research and Epidemiology – BIPS, Bremen, Germany · Faculty of Mathematics and Computer Science, University of Bremen, Bremen, Germany +1

  48. Accurate and Robust Generative Approach for Overcoming Data Sparsity and Imbalance in Landslide Modeling with A Tabular Foundation Model

    Apr 28, 2026Kaixuan Shao, Gang Mei, Yinghan Wu +2Class-Imbalanced LearningSynthetic Tabular Data Generation

    School of Engineering and Technology, China University of Geosciences (Beijing), 100083, Beijing, China · School of Geological Engineering and Geomatics, Chang’an University, 710064, Xi’an, China

  49. SAGE: Sparse Adaptive Guidance for Dependency-Aware Tabular Data Generation

    Apr 27, 2026Shuo Yang, Zheyu Zhang, Bardh Prenkaj +1Synthetic Tabular Data Generation

    Technical University of Munich

  50. Generative Synthetic Data for Causal Inference: Pitfalls, Remedies, and Opportunities

    Apr 26, 2026Yichen XuCausal Effect EstimationSynthetic Data Generation

    University of California, Berkeley

  51. TabSCM: A practical Framework for Generating Realistic Tabular Data

    Apr 24, 2026Sven Jacob, Bardh Prenkaj, Weijia Shao +1Structural Causal ModelsCausal Counterfactual Generation

    Federal Institute for Occupational Safety and Health (BAuA), Dresden, Germany · School of Computation, Information and Technology, Technical University of Munich, Munich, Germany · Munich Center for Machine Learning (MCML)

  52. Synthetic Data in Education: Empirical Insights from Traditional Resampling and Deep Generative Models

    Apr 22, 2026Tapiwa Amion Chinodakufa, Ashfaq Ali Shafin, Khandaker Mamun AhmedSynthetic Data GenerationEducational Technology

    The Beacom College of Computer & Cyber Sciences, Dakota State University · Knight Foundation School of Computing & Information Sciences, Florida International University

  53. Synthetic Flight Data Generation Using Generative Models

    Apr 22, 2026Karim Aly, Alexei SharpanskykhSynthetic Data GenerationSynthetic Tabular Data Generation

    Faculty of Aerospace Engineering · Delft University of Technology (TU Delft) · Delft, The Netherlands

  54. Self-Improving Tabular Language Models via Iterative Reward-Guided Post-Training

    Apr 21, 2026Yunbo Long, Tejumade Afonja, Guangya Hao +2Tabular Foundation ModelsGroup Relative Policy Optimization

    Department of Engineering, University of Cambridge · CISPA Helmholtz Center for Information Security, Saarbrücken, Germany · The Alan Turing Institute, London

  55. Self-Reinforcing Controllable Synthesis of Rare Relational Data via Bayesian Calibration

    Apr 18, 2026Chongsheng Zhang, Hao Wang, Zelong Yu +7Class-Imbalanced LearningSynthetic Data Augmentation

    Henan University, China · Department of Statistics, LMU Munich · MCML Munich +1

  56. Evaluating quality in synthetic data generation for large tabular health datasets

    Apr 17, 2026Jean-Baptiste Escudié, Benjamin Barnes, Stefan Meisegeier +3HealthcareSynthetic Tabular Data Generation

    Centre for Artificial Intelligence in Public Health Research, Robert Koch Institute · German Centre for Cancer Registry Data, Robert Koch Institute · Medical Informatics, Berlin Institute of Health at Charité - Universitätsmedizin Berlin

  57. Decoupling Identity from Utility: Privacy-by-Design Frameworks for Financial Ecosystems

    Apr 16, 2026Ifayoyinsola Ibikunle, Tyler Farnan, Senthil Kumar +1Synthetic Data GenerationSynthetic Tabular Data Generation

    Capital One

  58. Synthesizing real-world distributions from high-dimensional Gaussian Noise with Fully Connected Neural Network

    Apr 10, 2026Joanna KomorniczakSynthetic Tabular Data GenerationGenerative Modeling

    Department of Systems and Computer Networks, Wrocław University of Science and Technology

  59. Improving TabPFN's Synthetic Data Generation by Integrating Causal Structure

    Mar 10, 2026Davide Tugnoli, Andrea De Lorenzo, Marco Virgolin +1Tabular Foundation ModelsSynthetic Data Generation

    Department of Mathematics, Informatics and Geosciences, University of Trieste, Trieste, Italy · InSilicoTrials Technologies, Riva Grumula 2, 34123 Trieste, Italy · Department of Engineering and Architecture, University of Trieste, Trieste, Italy +3

  60. TabICLv2: A better, faster, scalable, and open tabular foundation model

    Feb 11, 2026Jingang Qu, David Holzmüller, Gaël Varoquaux +1Synthetic Data PretrainingTabular Foundation Models

    SODA Team, INRIA Saclay, Palaiseau, France · Probabl, France