mlsanityData to 14 Oct 2026

AutoDiff: combining Auto-encoder and Diffusion model for tabular data synthesizing

arXiv 2310.15479 ↗First posted 24 Oct 2023stat.ML cs.AI cs.LGcited by 24

On the map: Diffusion models → Flow matching, time series and science

Abstract (arXiv)

Diffusion model has become a main paradigm for synthetic data generation in many subfields of modern machine learning, including computer vision, language model, or speech synthesis. In this paper, we leverage the power of diffusion model for generating synthetic tabular data. The heterogeneous features in tabular data have been main obstacles in tabular data synthesis, and we tackle this problem by employing the auto-encoder architecture. When compared with the state-of-the-art tabular synthesizers, the resulting synthetic tables from our model show nice statistical fidelities to the real data, and perform well in downstream tasks for machine learning utilities. We conducted the experiments over 15 publicly available datasets. Notably, our model adeptly captures the correlations among features, which has been a long-standing challenge in tabular data synthesis. Our code is available at https://github.com/UCLA-Trustworthy-AI-Lab/AutoDiffusion.

Key facts. Cited by 24 papers in the map (data through 14 Oct 2026). Placed in Flow matching, time series and science, one of 14 directions in Diffusion models. Builds on 19 of its 30 references that are in the map. First posted on arXiv 24 Oct 2023.

Builds on

19 of 30 references.

Closest ancestors · 4

Same direction, newest first

  1. 2023CoDi: Co-evolving Contrastive Diffusion Models for Mixed-type Tabular Synthesis25 Apr
  2. 2022STaSy: Score-based Tabular data Synthesis8 Oct
  3. 2022TabDDPM: Modelling Tabular Data with Diffusion Models30 Sep
  4. 2022Equivariant Diffusion for Molecule Generation in 3D31 Mar

Other references · 15

  1. 2020Score-Based Generative Modeling through Stochastic Differential Equationscited by 9,122
  2. 2021Diffusion Models Beat GANs on Image Synthesiscited by 8,255
  3. 2022Hierarchical Text-Conditional Image Generation with CLIP Latentscited by 6,585
  4. 2022Generative Adversarial Networkscited by 5,627
  5. 2021Improved Denoising Diffusion Probabilistic Modelscited by 3,761
  6. 2015FaceNet: A Unified Embedding for Face Recognition and Clusteringcited by 2,849
  7. 2023Extracting Training Data from Diffusion Modelscited by 732
  8. 2019Modeling Tabular data using Conditional GANcited by 699
  9. 2018FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Modelscited by 594
  10. 2017Real-valued (Medical) Time Series Generation with Recurrent Conditional GANscited by 333
  11. 2017Generating Multi-label Discrete Patient Records using Generative Adversarial Networkscited by 197
  12. 2021CTAB-GAN: Effective Table Data Synthesizingcited by 156
3 more
  1. 2022Differentially Private Diffusion Modelscited by 119
  2. 2022CTAB-GAN+: Enhancing Tabular Data Synthesiscited by 70
  3. 2023DP-LDMs: Differentially Private Latent Diffusion Modelscited by 29

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2024: 10; 2025: 10; 2026: 4.

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  1. 2025A Comprehensive Survey of Synthetic Tabular Data Generationcited by 28
  2. 2024A Survey on Statistical Theory of Deep Learning: Approximation, Training Dynamics, and Generative Modelscited by 20
  3. 2025A Survey on Deep Learning Approaches for Tabular Data Generation: Utility, Alignment, Fidelity, Privacy, Diversity, and Beyondcited by 15
  4. 2024Automated data processing and feature engineering for deep learning and big data applications: a surveycited by 14
  5. 2024CTSyn: A Foundation Model for Cross Tabular Data Generationcited by 14
  6. 2024Data Plagiarism Index: Characterizing the Privacy Risk of Data-Copying in Tabular Generative Modelscited by 12
  7. 2025Vision-Enhanced Time Series Forecasting via Latent Diffusion Modelscited by 9
  8. 2024Navigating Tabular Data Synthesis Research: Understanding User Needs and Tool Capabilitiescited by 8
  9. 2025Diffusion and Flow Matching Models for Tabular Data: A Surveycited by 8
  10. 2024Advancing Retail Data Science: Comprehensive Evaluation of Synthetic Datacited by 6
  11. 2024Tabular Data Synthesis with Differential Privacy: A Surveycited by 6
  12. 2024TimeAutoDiff: A Unified Framework for Generation, Imputation, Forecasting, and Time-Varying Metadata Conditioning of Heterogeneous Time Series Tabular Datacited by 5
12 more
  1. 2025Privacy Auditing Synthetic Data Release through Local Likelihood Attackscited by 5
  2. 2025Ensembling Membership Inference Attacks Against Tabular Generative Modelscited by 4
  3. 2025Synth-MIA: A Testbed for Auditing Privacy Leakage in Tabular Data Synthesiscited by 4
  4. 2025When Tables Leak: Attacking String Memorization in LLM-Based Tabular Data Generationcited by 3
  5. 2024Recurrent Neural Goodness-of-Fit Test for Time Seriescited by 2
  6. 2026Finding Connections: Membership Inference Attacks for the Multi-Table Synthetic Data Settingcited by 2
  7. 2024A Deep Generative Framework for Joint Households and Individuals Population Synthesiscited by 1
  8. 2026ReTabSyn: Realistic Tabular Data Synthesis via Reinforcement Learningcited by 1
  9. 2026SAGE: Sparse Adaptive Guidance for Dependency-Aware Tabular Data Generationcited by 1
  10. 2025Boosting Predictive Performance on Tabular Data through Data Augmentation with Latent-Space Flow-Based Diffusioncited by 0
  11. 2025Privacy Preserving Diffusion Models for Mixed-Type Tabular Data Generationcited by 0
  12. 2026Stable and Privacy-Preserving Synthetic Educational Data with Empirical Marginals: A Copula-Based Approachcited by 0

Similar, not cited

Close in wording, no citation either way

  1. 2024TabDiff: a Mixed-type Diffusion Model for Tabular Data Generation
  2. 2024Diffusion-nested Auto-Regressive Synthesis of Heterogeneous Tabular Data
  3. 2025TabRep: Training Tabular Diffusion Models with a Simple and Effective Continuous Representation
  4. 2026CDMD: A Cross-Dataset Mixed-Type Diffusion Model for Tabular Data
  5. 2024Diffusion Models for Tabular Data Imputation and Synthetic Data Generation
  6. 2023Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space
  7. 2023Continuous Diffusion for Mixed-Type Tabular Data
  8. 2026TabMosaic: Unified In-Context Diffusion for Tabular Generative Tasks