{"total":109,"rows":[{"id":"2402.04997","title":"Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design","created":"2024-02-07","cited_by_count":305,"area":"diffusion"},{"id":"2310.09656","title":"Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space","created":"2023-10-14","cited_by_count":186,"area":"diffusion"},{"id":"2305.18593","title":"On Diffusion Modeling for Anomaly Detection","created":"2023-05-29","cited_by_count":72,"area":"diffusion"},{"id":"2410.20626","title":"TabDiff: a Mixed-type Diffusion Model for Tabular Data Generation","created":"2024-10-27","cited_by_count":63,"area":"diffusion"},{"id":"2308.05384","title":"Enhancing Deep Reinforcement Learning: A Tutorial on Generative Diffusion Models in Network Optimization","created":"2023-08-10","cited_by_count":56,"area":"diffusion"},{"id":"2309.01472","title":"FinDiff: Diffusion Models for Financial Tabular Data Generation","created":"2023-09-04","cited_by_count":41,"area":"diffusion"},{"id":"2307.00467","title":"MissDiff: Training Diffusion Models on Tabular Data with Missing Values","created":"2023-07-02","cited_by_count":39,"area":"diffusion"},{"id":"2302.13335","title":"Diffusion Model-Augmented Behavioral Cloning","created":"2023-02-26","cited_by_count":38,"area":"diffusion"},{"id":"2303.08888","title":"Stochastic Segmentation with Conditional Categorical Diffusion Models","created":"2023-03-15","cited_by_count":38,"area":"diffusion"},{"id":"2405.17724","title":"ClavaDDPM: Multi-relational Data Synthesis with Cluster-guided Diffusion Models","created":"2024-05-28","cited_by_count":28,"area":"diffusion"},{"id":"2504.16506","title":"A Comprehensive Survey of Synthetic Tabular Data Generation","created":"2025-04-23","cited_by_count":28,"area":"diffusion"},{"id":"2310.15479","title":"AutoDiff: combining Auto-encoder and Diffusion model for tabular data synthesizing","created":"2023-10-24","cited_by_count":24,"area":"diffusion"},{"id":"2506.07903","title":"Diffuse Everything: Multimodal Diffusion Models on Arbitrary State Spaces","created":"2025-06-09","cited_by_count":21,"area":"diffusion"},{"id":"2409.05033","title":"A Survey on Diffusion Models for Recommender Systems","created":"2024-09-08","cited_by_count":20,"area":"diffusion"},{"id":"2405.20690","title":"DiffPuter: Empowering Diffusion Models for Missing Data Imputation","created":"2024-05-31","cited_by_count":19,"area":"diffusion"},{"id":"2302.14679","title":"Synthesizing Mixed-type Electronic Health Records using Diffusion Models","created":"2023-02-28","cited_by_count":18,"area":"diffusion"},{"id":"2312.10431","title":"Continuous Diffusion for Mixed-Type Tabular Data","created":"2023-12-16","cited_by_count":17,"area":"diffusion"},{"id":"2312.05253","title":"DiSK: A Diffusion Model for Structured Knowledge","created":"2023-12-08","cited_by_count":16,"area":"diffusion"},{"id":"2407.18013","title":"Self-Supervision Improves Diffusion Models for Tabular Data Imputation","created":"2024-07-25","cited_by_count":16,"area":"diffusion"},{"id":"2407.02549","title":"Diffusion Models for Tabular Data Imputation and Synthetic Data Generation","created":"2024-07-02","cited_by_count":15,"area":"diffusion"},{"id":"2506.05940","title":"Exponential Family Variational Flow Matching for Tabular Data Generation","created":"2025-06-06","cited_by_count":15,"area":"diffusion"},{"id":"2406.04619","title":"CTSyn: A Foundation Model for Cross Tabular Data Generation","created":"2024-06-07","cited_by_count":14,"area":"diffusion"},{"id":"2404.08254","title":"Balanced Mixed-Type Tabular Data Synthesis with Diffusion Models","created":"2024-04-12","cited_by_count":12,"area":"diffusion"},{"id":"2404.03299","title":"SiloFuse: Cross-silo Synthetic Data Generation with Latent Tabular Diffusion Models","created":"2024-04-04","cited_by_count":10,"area":"diffusion"},{"id":"2503.12008","title":"Winning the MIDST Challenge: New Membership Inference Attacks on Diffusion Models for Tabular Data Synthesis","created":"2025-03-15","cited_by_count":10,"area":"diffusion"},{"id":"2503.02161","title":"LLM-TabLogic: Preserving Inter-Column Logical Relationships in Synthetic Tabular Data via Prompt-Guided Latent Diffusion","created":"2025-03-04","cited_by_count":9,"area":"diffusion"},{"id":"2505.16527","title":"Joint Relational Database Generation via Graph-Conditional Diffusion Models","created":"2025-05-22","cited_by_count":9,"area":"diffusion"},{"id":"2306.04139","title":"A Comprehensive Survey on Generative Diffusion Models for Structured Data","created":"2023-06-07","cited_by_count":8,"area":"diffusion"},{"id":"2502.17119","title":"Diffusion and Flow Matching Models for Tabular Data: A Survey","created":"2025-02-24","cited_by_count":8,"area":"diffusion"},{"id":"2401.06263","title":"FedTabDiff: Federated Learning of Diffusion Probabilistic Models for Synthetic Mixed-Type Tabular Data Generation","created":"2024-01-11","cited_by_count":7,"area":"diffusion"},{"id":"2406.13942","title":"Synthesizing Multimodal Electronic Health Records via Predictive Diffusion Models","created":"2024-06-20","cited_by_count":7,"area":"diffusion"},{"id":"2412.11044","title":"Understanding and Mitigating Memorization in Diffusion Models for Tabular Data","created":"2024-12-15","cited_by_count":7,"area":"diffusion"},{"id":"2302.03790","title":"GraphGUIDE: interpretable and controllable conditional graph generation with discrete Bernoulli diffusion","created":"2023-02-07","cited_by_count":6,"area":"diffusion"},{"id":"2307.16463","title":"Don't be so negative! Score-based Generative Modeling with Oracle-assisted Guidance","created":"2023-07-31","cited_by_count":6,"area":"diffusion"},{"id":"2311.03303","title":"TS-Diffusion: Generating Highly Complex Time Series with Diffusion Models","created":"2023-11-06","cited_by_count":6,"area":"diffusion"},{"id":"2402.18607","title":"Exploring Privacy and Fairness Risks in Sharing Diffusion Models: An Adversarial Perspective","created":"2024-02-28","cited_by_count":6,"area":"diffusion"},{"id":"2506.01666","title":"Synthesis of discrete-continuous quantum circuits with multimodal diffusion models","created":"2025-06-02","cited_by_count":6,"area":"diffusion"},{"id":"2512.00698","title":"Flow Matching for Tabular Data Synthesis","created":"2025-11-30","cited_by_count":6,"area":"diffusion"},{"id":"2403.07842","title":"DP-TLDM: Differentially Private Tabular Latent Diffusion Model","created":"2024-03-12","cited_by_count":5,"area":"diffusion"},{"id":"2404.12314","title":"Guided Discrete Diffusion for Electronic Health Record Generation","created":"2024-04-18","cited_by_count":5,"area":"diffusion"},{"id":"2406.07658","title":"Treeffuser: Probabilistic Predictions via Conditional Diffusions with Gradient-Boosted Trees","created":"2024-06-11","cited_by_count":5,"area":"diffusion"},{"id":"2406.16028","title":"TimeAutoDiff: A Unified Framework for Generation, Imputation, Forecasting, and Time-Varying Metadata Conditioning of Heterogeneous Time Series Tabular Data","created":"2024-06-23","cited_by_count":5,"area":"diffusion"},{"id":"2407.11501","title":"Diff-MTS: Temporal-Augmented Conditional Diffusion-based AIGC for Industrial Time Series Towards the Large Model Era","created":"2024-07-16","cited_by_count":5,"area":"diffusion"},{"id":"2501.14216","title":"TFG-Flow: Training-free Guidance in Multimodal Generative Flow","created":"2025-01-24","cited_by_count":5,"area":"diffusion"},{"id":"2504.04798","title":"TabRep: Training Tabular Diffusion Models with a Simple and Effective Continuous Representation","created":"2025-04-07","cited_by_count":5,"area":"diffusion"},{"id":"2504.07566","title":"Diffusion Transformers for Tabular Data Time Series Generation","created":"2025-04-10","cited_by_count":5,"area":"diffusion"},{"id":"2306.05208","title":"PriSampler: Mitigating Property Inference of Diffusion Models","created":"2023-06-08","cited_by_count":4,"area":"diffusion"},{"id":"2311.03488","title":"Multi-Resolution Diffusion for Privacy-Sensitive Recommender Systems","created":"2023-11-06","cited_by_count":4,"area":"diffusion"},{"id":"2503.06231","title":"WaveStitch: Flexible and Fast Conditional Time Series Generation with Diffusion Models","created":"2025-03-08","cited_by_count":4,"area":"diffusion"},{"id":"2505.21426","title":"Learning Individual Behavior in Agent-Based Models with Graph Diffusion Networks","created":"2025-05-27","cited_by_count":4,"area":"diffusion"},{"id":"2506.00710","title":"RelDiff: Relational Data Generative Modeling with Graph-Based Diffusion Models","created":"2025-05-31","cited_by_count":4,"area":"diffusion"},{"id":"2509.13046","title":"MIA-EPT: Membership Inference Attack via Error Prediction for Tabular Data","created":"2025-09-16","cited_by_count":4,"area":"diffusion"},{"id":"2601.22816","title":"Cascaded Flow Matching for Heterogeneous Tabular Data with Mixed-Type Features","created":"2026-01-30","cited_by_count":4,"area":"diffusion"},{"id":"2403.10566","title":"Cooling-Guide Diffusion Model for Battery Cell Arrangement","created":"2024-03-14","cited_by_count":3,"area":"diffusion"},{"id":"2501.10548","title":"Diffusion Models in Recommendation Systems: A Survey","created":"2025-01-17","cited_by_count":3,"area":"diffusion"},{"id":"2505.15668","title":"Graph-Conditional Flow Matching for Relational Data Generation","created":"2025-05-21","cited_by_count":3,"area":"diffusion"},{"id":"2401.16755","title":"Diffusion model for relational inference","created":"2024-01-30","cited_by_count":2,"area":"diffusion"},{"id":"2410.15470","title":"Data Augmentation via Diffusion Model to Enhance AI Fairness","created":"2024-10-20","cited_by_count":2,"area":"diffusion"},{"id":"2412.16083","title":"Federated Diffusion Modeling with Differential Privacy for Tabular Data Synthesis","created":"2024-12-20","cited_by_count":2,"area":"diffusion"},{"id":"2507.13087","title":"DiffOSeg: Omni Medical Image Segmentation via Multi-Expert Collaboration Diffusion Model","created":"2025-07-17","cited_by_count":2,"area":"diffusion"},{"id":"2508.01509","title":"A Reward-Directed Diffusion Framework for Generative Design Optimization","created":"2025-08-02","cited_by_count":2,"area":"diffusion"},{"id":"2508.03083","title":"MissDDIM: Deterministic and Efficient Conditional Diffusion for Tabular Data Imputation","created":"2025-08-05","cited_by_count":2,"area":"diffusion"},{"id":"2508.19570","title":"Generative Models for Synthetic Data: Transforming Data Mining in the GenAI Era","created":"2025-08-27","cited_by_count":2,"area":"diffusion"},{"id":"2509.23126","title":"Impute-MACFM: Imputation based on Mask-Aware Flow Matching","created":"2025-09-27","cited_by_count":2,"area":"diffusion"},{"id":"2510.16037","title":"Membership Inference over Diffusion-models-based Synthetic Tabular Data","created":"2025-10-16","cited_by_count":2,"area":"diffusion"},{"id":"2603.19185","title":"MIDST Challenge at SaTML 2025: Membership Inference over Diffusion-models-based Synthetic Tabular data","created":"2026-03-19","cited_by_count":2,"area":"diffusion"},{"id":"2604.03779","title":"CountsDiff: A Diffusion Model on the Natural Numbers for Generation and Imputation of Count-Based Data","created":"2026-04-04","cited_by_count":2,"area":"diffusion"},{"id":"2410.15516","title":"Generating Tabular Data Using Heterogeneous Sequential Feature Forest Flow Matching","created":"2024-10-20","cited_by_count":1,"area":"diffusion"},{"id":"2502.07090","title":"Generative Distribution Prediction: A Unified Approach to Multimodal Learning","created":"2025-02-10","cited_by_count":1,"area":"diffusion"},{"id":"2505.22322","title":"A Closer Look on Memorization in Tabular Diffusion Model: A Data-Centric Perspective","created":"2025-05-28","cited_by_count":1,"area":"diffusion"},{"id":"2505.24267","title":"MUSE: Model-Agnostic Tabular Watermarking via Multi-Sample Selection","created":"2025-05-30","cited_by_count":1,"area":"diffusion"},{"id":"2509.22352","title":"SurvDiff: A Diffusion Model for Generating Synthetic Data in Survival Analysis","created":"2025-09-26","cited_by_count":1,"area":"diffusion"},{"id":"2601.11444","title":"When Are Two Scores Better Than One? Investigating Ensembles of Diffusion Models","created":"2026-01-16","cited_by_count":1,"area":"diffusion"},{"id":"2601.13197","title":"Diffusion-Driven Synthetic Tabular Data Generation for Enhanced DoS/DDoS Attack Classification","created":"2026-01-19","cited_by_count":1,"area":"diffusion"},{"id":"2602.22586","title":"TabDLM: Free-Form Tabular Data Generation via Joint Numerical-Language Diffusion","created":"2026-02-26","cited_by_count":1,"area":"diffusion"},{"id":"2605.05026","title":"Local Intrinsic Dimension Unveils Hallucinations in Diffusion Models","created":"2026-05-06","cited_by_count":1,"area":"diffusion"},{"id":"2605.06699","title":"Multimodal synthesis of MRI and tabular data with diffusion in a joint latent space via cross-attention","created":"2026-05-05","cited_by_count":1,"area":"diffusion"},{"id":"2605.10315","title":"Active Tabular Augmentation via Policy-Guided Diffusion Inpainting","created":"2026-05-11","cited_by_count":1,"area":"diffusion"},{"id":"2605.26468","title":"Diffuse to Detect: Generative Diffusion Models for Unsupervised IC Anomaly Detection","created":"2026-05-26","cited_by_count":1,"area":"diffusion"},{"id":"2606.03347","title":"AugMask: Training Diffusion Models on Incomplete Tabular Data via Stochastic Augmentation and Masking","created":"2026-06-02","cited_by_count":1,"area":"diffusion"},{"id":"2610.00873","title":"Rethinking Data Augmentation under Covariate Shift: Invariant-Guided Diffusion and Prototype Reweighting","created":"2026-10-01","cited_by_count":1,"area":"diffusion"},{"id":"2212.10777","title":"Hierarchically branched diffusion models leverage dataset structure for class-conditional generation","created":"2022-12-21","cited_by_count":0,"area":"diffusion"},{"id":"2403.05918","title":"SEMRes-DDPM: Residual Network Based Diffusion Modelling Applied to Imbalanced Data","created":"2024-03-09","cited_by_count":0,"area":"diffusion"},{"id":"2404.09240","title":"Fault Detection in Mobile Networks Using Diffusion Models","created":"2024-04-14","cited_by_count":0,"area":"diffusion"},{"id":"2405.05134","title":"Enhancing Deep Knowledge Tracing via Diffusion Models for Personalized Adaptive Learning","created":"2024-04-25","cited_by_count":0,"area":"diffusion"},{"id":"2406.04916","title":"Combinatorial Complex Score-based Diffusion Modelling through Stochastic Differential Equations","created":"2024-06-07","cited_by_count":0,"area":"diffusion"},{"id":"2508.08458","title":"Discrete Diffusion-Based Model-Level Explanation of Heterogeneous GNNs with Node Features","created":"2025-08-11","cited_by_count":0,"area":"diffusion"},{"id":"2508.13890","title":"Diffusion-Driven High-Dimensional Variable Selection","created":"2025-08-19","cited_by_count":0,"area":"diffusion"},{"id":"2511.16571","title":"Boosting Predictive Performance on Tabular Data through Data Augmentation with Latent-Space Flow-Based Diffusion","created":"2025-11-20","cited_by_count":0,"area":"diffusion"},{"id":"2512.00638","title":"Privacy Preserving Diffusion Models for Mixed-Type Tabular Data Generation","created":"2025-11-29","cited_by_count":0,"area":"diffusion"},{"id":"2602.00384","title":"RePaint-Enhanced Conditional Diffusion Model for Parametric Engineering Designs under Performance and Parameter Constraints","created":"2026-01-30","cited_by_count":0,"area":"diffusion"},{"id":"2602.04139","title":"Generative Neural Operators through Diffusion Last Layer","created":"2026-02-04","cited_by_count":0,"area":"diffusion"},{"id":"2602.11453","title":"From Noise to Order: Learning to Rank via Denoising Diffusion","created":"2026-02-12","cited_by_count":0,"area":"diffusion"},{"id":"2603.13566","title":"EmDT: Embedding Diffusion Transformer for Tabular Data Generation in Fraud Detection","created":"2026-03-13","cited_by_count":0,"area":"diffusion"},{"id":"2604.00293","title":"SYNTHONY: A Stress-Aware, Intent-Conditioned Agent for Deep Tabular Generative Models Selection","created":"2026-03-31","cited_by_count":0,"area":"diffusion"},{"id":"2604.05257","title":"Extending Tabular Denoising Diffusion Probabilistic Models for Time-Series Data Generation","created":"2026-04-06","cited_by_count":0,"area":"diffusion"},{"id":"2605.00788","title":"Repurposing Image Diffusion Models for Adversarial Synthetic Structured Data: A Case Study of Ground Truth Drift","created":"2026-05-01","cited_by_count":0,"area":"diffusion"},{"id":"2605.11527","title":"FERMI: Exploiting Relations for Membership Inference Against Tabular Diffusion Models","created":"2026-05-12","cited_by_count":0,"area":"diffusion"},{"id":"2605.22776","title":"SDPM: Survival Diffusion Probabilistic Model for Continuous-Time Survival Analysis","created":"2026-05-21","cited_by_count":0,"area":"diffusion"},{"id":"2606.02607","title":"Geometry-Aware Tabular Diffusion","created":"2026-05-23","cited_by_count":0,"area":"diffusion"}],"next_cursor":"100"}