Diffusion Model for Time Series and Spatio-Temporal Data

A curated list of Diffusion Models for Time Series, SpatioTemporal Data and Tabular Data with awesome resources (paper, code, application, review, survey, etc.), which aims to comprehensively and systematically summarize the recent advances to the best of our knowledge.

We will continue to update this list with the newest resources. If you find any missed resources (paper/code) or errors, please feel free to open an issue or make a pull request.

A Survey on Diffusion Models for Time Series and Spatio-Temporal Data

[Paper Page] [专知 中文解读] [时序人 中文解读] [知乎 中文解读] [All Summarized and Categorized Papers]

Authors: Yiyuan Yang, Ming Jin, Haomin Wen, Chaoli Zhang, Yuxuan Liang*, Lintao Ma, Yi Wang, Chenghao Liu, Bin Yang, Zenglin Xu, Jiang Bian, Shirui Pan, Qingsong Wen*

🙋 Please let us know if you find a mistake or have any suggestions!

✨ If you found this survey and repository useful, please consider to star this repository and cite our survey paper:

@article{yang2024survey,
      title={A Survey on Diffusion Models for Time Series and Spatio-Temporal Data}, 
      author={Yiyuan Yang and Ming Jin and Haomin Wen and Chaoli Zhang and Yuxuan Liang and Lintao Ma and Yi Wang and Chenghao Liu and Bin Yang and Zenglin Xu and Jiang Bian and Shirui Pan and Qingsong Wen},
      year={2024},
      eprint={2404.18886},
      archivePrefix={arXiv},
      primaryClass={cs.LG}
}

Taxonomy Document

✨ [Paper List and Taxonomy].

🙋 Please feel free to submit comments on any new works!

Contents

• Diffusion Model for Time Series and SpatioTemporal Data
  • Contents
  • Diffusion Model for Time Series Data
    • Prediction
    • Generation
    • Imputation
    • Anomaly Detection
    • Classification and Regression
    • Causal Inference
    • Event Prediction and Classification
    • Foundation Model
  • Diffusion Model for SpatioTemporal Data
  • Diffusion Model for Tabular Data
  • Applications
    • Healthcare
    • Sequential Recommendation
    • Weather
    • Energy and Electricity
    • Math and Physics
    • Finance
    • AIOps
    • Environment
    • Traffic
    • Manufacturing
    • Audio
    • Biology
  • Related Diffusion Model Resources and Surveys

Diffusion Model for Time Series Data

Prediction

• Autoregressive Denoising Diffusion Models for Multivariate Probabilistic Time Series Forecasting, in ICML 2021. [paper] [official-code]

• ScoreGrad: Multivariate Probabilistic Time Series Forecasting with Continuous Energy-based Generative Models, in ArXiv 2021. [paper] [official-code]

• Generative Time Series Forecasting with Diffusion, Denoise, and Disentanglement, in NeurIPS 2022. [paper] [official-code]

• Diffusion Variational Autoencoder for Tackling Stochasticity in Multi-Step Regression Stock Price Prediction, in CIKM 2023. [paper] [official-code]

• Modeling Temporal Data as Continuous Functions with Process Diffusion, in ICML 2023. [paper]

• Non-autoregressive Conditional Diffusion Models for Time Series Prediction, in ICML 2023. [paper]

• Graph Convolution Recurrent Denoising Diffusion Model for Multivariate Probabilistic Temporal Forecasting, in International Conference on Advanced Data Mining and Applications (ADMA) 2023. [paper]

• Data-driven and knowledge-guided denoising diffusion model for flood forecasting, in Expert Systems with Applications 2023. [paper]

• Generative Time Series Forecasting with Diffusion, Denoise, and Disentanglement, in ArXiv 2023. [paper] [official-code]

• DiffECG: A Generalized Probabilistic Diffusion Model for ECG Signals Synthesis, in ArXiv 2023. [paper]

• Predict, Refine, Synthesize: Self-Guiding Diffusion Models for Probabilistic Time Series Forecasting, in ArXiv 2023. [paper]

• Data Augmentation for Seizure Prediction with Generative Diffusion Model, in ArXiv 2023. [paper]

• DiffLoad: Uncertainty Quantification in Load Forecasting with Diffusion Model, in ArXiv 2023. [paper]

• Denoising Diffusion Probabilistic Models for Probabilistic Energy Forecasting, in ArXiv 2023. [paper] [official-code]

• TDSTF: Transformer-based Diffusion probabilistic model for Sparse Time series Forecasting, in ArXiv 2023. [paper] [official-code]

• Graph Convolution Recurrent Denoising Diffusion Model for Multivariate Probabilistic Temporal Forecasting, Working Paper 2023. [link]

• Latent Diffusion Models for Generative Precipitation Nowcasting with Accurate Uncertainty Quantification, in ArXiv 2023. [paper] [official-code]

• WiREDiff: a Wind Resolution-Enhancing Diffusion Model, in Working Paper 2023. [link] [paper] [official-code]

• A novel gear RUL prediction method by diffusion model generation health index and attention guided multi-hierarchy LSTM, in Scientific Reports 2024. [paper]

• A transformer-based diffusion probabilistic model for heart rate and blood pressure forecasting in Intensive Care Unit, in Computer Methods and Programs in Biomedicine 2024. [paper] [official-code]

• Quantifying uncertainty: Air quality forecasting based on dynamic spatial-temporal denoising diffusion Probabilistic model, in Environmental Research 2024. [paper]

• DiffSTOCK: Probabilistic relational Stock Market Predictions using Diffusion Models, in ICASSP 2024. [paper]

• Multi-Modality Conditional Diffusion Model for Time Series Forecasting of Live Sales Volume, in ICASSP 2024. [paper]

• Latent Diffusion Transformer for Probabilistic Time Series Forecasting, in AAAI 2024. [paper]

• Comparative Analysis of TEC Prediction Models During Geomagnetic Storm and Quiet Conditions Using Diffusion, Transformer, and SARIMA, 2024. [paper]

• Residential Customer Baseline Load Estimation Based on Conditional Denoising Diffusion Probabilistic Model, in IEEE 4th International Conference in Power Engineering Applications (ICPEA) 2024. [paper]

• Variational Schrödinger Diffusion Models, in ICML 2024. [paper]

• Diff-MGR: Dynamic Causal Graph Attention and Pattern Reproduction Guided Diffusion Model for Multivariate Time Series Probabilistic Forecasting, in Information Sciences 2024. [paper]

• Multi-modal transform-based fusion model for new product sales forecasting, in Engineering Applications of Artificial Intelligence 2024. [paper]

• Probabilistic Building Load Forecasting via Conditional Diffusion Model, in e-Energy 2024. [paper]

• Probabilistic Time Series Modeling with Decomposable Denoising Diffusion Model, in ICML 2024. [paper]

• Data-driven and knowledge-guided denoising diffusion probabilistic model for runoff uncertainty prediction, in Journal of Hydrology 2024. [paper]

• DiffDA: a diffusion model for weather-scale data assimilation, in ArXiv 2024. [paper]

• DiffPLF: A Conditional Diffusion Model for Probabilistic Forecasting of EV Charging Load, in ArXiv 2024. [paper] [official-code]

• CogDPM: Diffusion Probabilistic Models via Cognitive Predictive Coding, in ArXiv 2024. [paper]

• Self-Supervised Learning of Time Series Representation via Diffusion Process and Imputation-Interpolation-Forecasting Mask, in ArXiv 2024. [paper] [official-code]

• Generative Pre-Trained Diffusion Paradigm for Zero-Shot Time Series Forecasting, in ArXiv 2024. [paper]

• Stochastic Diffusion: A Diffusion Probabilistic Model for Stochastic Time Series Forecasting, in ArXiv 2024. [paper]

• Treeffuser: Probabilistic Predictions via Conditional Diffusions with Gradient-Boosted Trees, in ArXiv 2024. [paper] [official-code]

• DiffLoad: Uncertainty Quantification in Electrical Load Forecasting with the Diffusion Model, in IEEE Transactions on Power Systems 2024. [paper] [official-code]

• A novel wind power forecast diffusion model based on prior knowledge, in IET Renewable Power Generation 2024. [paper]

• RespDiff: An End-to-End Multi-scale RNN Diffusion Model for Respiratory Waveform Estimation from PPG Signals, in ArXiv 2024. [paper]

• PV-Diff: Probability Prediction of Short-term Photovoltaic Power Interval Based on Conditional Diffusion Model, in Chinese Control Conference 2024. [paper]

• BP-Diff: a conditional diffusion model for cuffless continuous BP waveform estimation using U-Net, in Physiological Measurement 2024. [paper]

• Treating Brain-inspired Memories as Priors for Diffusion Model to Forecast Multivariate Time Series, in ArXiv 2024. [paper]

• Channel-aware Contrastive Conditional Diffusion for Multivariate Probabilistic Time Series Forecasting, in ArXiv 2024. [paper] [official-code]

• DifFaiRec: Generative Fair Recommender with Conditional Diffusion Model, in ArXiv 2024. [paper]

• EEG-DIF: Early Warning of Epileptic Seizures through Generative Diffusion Model-based Multi-channel EEG Signals Forecasting, in ArXiv 2024. [paper] [official-code]

• Retrieval-Augmented Diffusion Models for Time Series Forecasting, in ArXiv 2024. [paper] [official-code]

• Diffusion-driven Incomplete Multimodal Learning for Air Quality Prediction, in ACM Transactions on Internet of Things, 2024. [paper] [official-code]

• DiffBatt: A Diffusion Model for Battery Degradation Prediction and Synthesis, in ArXiv 2024. [paper] [official-code]

• Time Series Prediction Based on the Probability Diffusion Model, in IEEE Information Technology, Networking, Electronic and Automation Control Conference 2024. [paper]

Generation

• WaveGrad: Estimating Gradients for Waveform Generation, in ICLR 2021. [paper]

• DiffWave: A Versatile Diffusion Model for Audio Synthesis, in ICLR 2021. [paper] [official-code]

• CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation, in NeurIPS 2021. [paper] [official-code]

• Conditional Simulation Using Diffusion Schrödinger Bridges, in UAI 2022. [paper] [official-code]

• Diffusing Gaussian Mixtures for Generating Categorical Data, in AAAI 2023. [paper] [official-code]

• Diffusion Generative Models in Infinite Dimensions, in AISTATS 2023. [paper] [official-code]

• Multi-scale Conditional Diffusion Model for Deposited Droplet Volume Measurement in Inkjet Printing Manufacturing, in Journal of Manufacturing Systems 2023. [paper]

• Diffusion Augmentation for Sequential Recommendation, in CIKM 2023. [paper] [official-code]

• Short-Term Wind Power Scenario Generation Based on Conditional Latent Diffusion Models, in IEEE Transactions on Sustainable Energy 2023. [paper]

• Synthetic Sleep EEG Signal Generation using Latent Diffusion Models, in DGM4H NeurIPS 2023. [paper] [official-code]

• Generative AI Enables the Detection of Autism Using EEG Signals, in Biometric Recognition 2023. [paper]

• TimeDDPM: Time series augmentation strategy for industrial soft sensing, in IEEE Sensors Journal 2023. [paper]

• Conditioning Score-Based Generative Models by Neuro-Symbolic Constraints, in ArXiv 2023. [paper]

• TransFusion: Generating Long, High Fidelity Time Series using Diffusion Models with Transformers, in ArXiv 2023. [paper]

• On the Constrained Time-Series Generation Problem, in ArXiv 2023. [paper]

• DiffECG: A Generalized Probabilistic Diffusion Model for ECG Signals Synthesis, in ArXiv 2023. [paper]

• Customized Load Profiles Synthesis for Electricity Customers Based on Conditional Diffusion Models, in ArXiv 2023. [paper]

• Synthetic Health-related Longitudinal Data with Mixed-type Variables Generated using Diffusion Models, in ArXiv 2023. [paper]

• EHRDiff: Exploring Realistic EHR Synthesis with Diffusion Models, in ArXiv 2023. [paper] [official-code]

• Synthesizing Mixed-type Electronic Health Records using Diffusion Models, in ArXiv 2023. [paper]

• MedDiff: Generating Electronic Health Records using Accelerated Denoising Diffusion Model, in ArXiv 2023. [paper]

• Fast and Reliable Generation of EHR Time Series via Diffusion Models, in ArXiv 2023. [paper]

• Fast Diffusion GAN Model for Symbolic Music Generation Controlled by Emotions, in ArXiv 2023. [paper]

• TS-Diffusion: Generating Highly Complex Time Series with Diffusion Models, in ArXiv 2023. [paper]

• Reliable Generation of EHR Time Series via Diffusion Models, in ArXiv 2023. [paper]

• D3A-TS: Denoising-Driven Data Augmentation in Time Series, in ArXiv 2023. [paper]

• Time Series Diffusion Method: A Denoising Diffusion Probabilistic Model for Vibration Signal Generation, in ArXiv 2023. [paper]

• Bayesian ECG reconstruction using denoising diffusion generative models, in ArXiv 2023. [paper]

• Regular Time-series Generation using SGM, in ArXiv 2023. [paper]

• On the Constrained Time-Series Generation Problem, in ArXiv 2023. [paper]

• A Short-Term Wind Power Scenario Generation Method Based on Conditional Diffusion Model, in IEEE Sustainable Power and Energy Conference (iSPEC) 2023. [paper]

• Scenario Generation of Renewable Energy Based on Improved Diffusion Model, in IEEE Sustainable Power and Energy Conference (iSPEC) 2023. [paper]

• DiffuseRoll: multi-track multi-attribute music generation based on diffusion model, in Multimedia Systems 2024. [paper] [official-code]

• Cold Diffusion Model for Seismic Denoising, 2024. [paper] [official-code]

• Conditional Diffusion Models as Self-supervised Learning Backbone for Irregular Time Series, in ICLR Workshop on Learning from Time Series for Health 2024. [paper]

• Synthetic Asset Price Paths Generation Using Denoising Diffusion Probabilistic Model, in SCML 2024. [paper]

• Generation of synthetic whole-slide image tiles of tumours from RNA-sequencing data via cascaded diffusion models, in Nature Biomedical Engineering 2024. [paper] [official-code]

• Mitigating Class Imbalance in Time Series with Enhanced Diffusion Models, in IWINAC 2024. [paper]

• Detection and Imputation Based Two-Stage Denoising Diffusion Power System Measurement Recovery Under Cyber-Physical Uncertainties, in IEEE Transactions on Smart Grid 2024. [paper]

• A diffusion model-based framework USDDM for random noise elimination of seismic signal, in Earth Science Informatics 2024. [paper]

• Fingerprinting in EEG Model IP Protection Using Diffusion Model, in ICMR 2024. [paper]

• Pre-training Feature Guided Diffusion Model for Speech Enhancement, in Interspeech 2024. [paper]

• Multivariate Time-series Diffusion Model-based Generation of Transient Trajectories for Power System Applications, in IEEE/PES Transmission and Distribution Conference and Exposition (T&D) 2024. [paper]

• SeisResoDiff: Seismic resolution enhancement based on a diffusion model, in Petroleum Science 2024. [paper]

• Enabling Diffusion Model for Conditioned Time Series Generation, in Engineering Proceedings 2024. [paper]

• Learning Joint 2-D and 3-D Graph Diffusion Models for Complete Molecule Generation, in IEEE Transactions on Neural Networks and Learning Systems 2024. [paper]

• DiffusionLSTM: A Framework for Image Sequence Generation and its Application to Oil Spill Monitoring and Prediction, in IEEE Transactions on Geoscience and Remote Sensing 2024. [paper]

• Parameter sharing fault data generation method based on diffusion model under imbalance data, in Measurement Science and Technology 2024. [paper]

• DF-CDM: Conditional diffusion model with data fusion for structural dynamic response reconstruction, in Mechanical Systems and Signal Processing 2024. [paper]

• Combining audio control and style transfer using latent diffusion, in ISMIR 2024. [paper] [official-code]

• DiffPhys: Enhancing Signal-to-Noise Ratio in Remote Photoplethysmography Signal Using a Diffusion Model Approach, in Bioengineering 2024. [paper

• Data augmentation based on diffusion probabilistic model for remaining useful life estimation of aero-engines, in Reliability Engineering and System Safety 2024. [paper

• ECGDiff: Conditional Diffusion Model for ECG Reconstruction from Doppler Signals, in IEEE International Conference on Communications 2024. [paper]

• NetDiff: A Service-Guided Hierarchical Diffusion Model for Network Flow Trace Generation, in Proceedings of the ACM on Networking 2024. [paper]

• Synthesizing EEG Signals from Event-Related Potential Paradigms with Conditional Diffusion Models, in ArXiv 2024. [paper]

• Creating synthetic energy meter data using conditional diffusion and building metadata, in ArXiv 2024. [paper] [official-code]

• Balanced Mixed-Type Tabular Data Synthesis with Diffusion Models, in ArXiv 2024. [paper]

• Long-form music generation with latent diffusion, in ArXiv 2024. [paper] [official-code]

• Cross-sensor super-resolution of irregularly sampled Sentinel-2 time series, in ArXiv 2024. [paper] [official-code]

• BioDiffusion: A Versatile Diffusion Model for Biomedical Signal Synthesis, in ArXiv 2024. [paper][official-code]

• Risk-Sensitive Diffusion: Learning the Underlying Distribution from Noisy Samples, in arXiv 2024. [paper]

• Time Series Diffusion in the Frequency Domain, in ArXiv 2024. [paper][official-code]

• DiffsFormer: A Diffusion Transformer on Stock Factor Augmentation, in ArXiv 2024. [paper]

• Time Weaver: A Conditional Time Series Generation Model, in ArXiv 2024. [paper]

• Plug-in Diffusion Model for Sequential Recommendation, in ArXiv 2024. [paper][official-code]

• Generating Synthetic Net Load Data with Physics-informed Diffusion Model, in ArXiv 2024. [paper]

• SigDiffusions: Score-Based Diffusion Models for Long Time Series via Log-Signature Embeddings, in ArXiv 2024. [paper]

• Deep Temporal Deaggregation: Large-Scale Spatio-Temporal Generative Models, in ArXiv 2024. [paper]

• TimeAutoDiff: Combining Autoencoder and Diffusion model for time series tabular data synthesizing, in ArXiv 2024. [paper]

• Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion, in ArXiv 2024. [paper][official-code]

• TimeLDM: Latent Diffusion Model for Unconditional Time Series Generation, in ArXiv 2024. [paper]

• Latent Diffusion for Neural Spiking Data, in ArXiv 2024. [paper][official-code]

• Diff-MTS: Temporal-Augmented Conditional Diffusion-based AIGC for Industrial Time Series Towards the Large Model Era, in ArXiv 2024. [paper]

• SSSD-ECG-nle: New Label Embeddings with Structured State-Space Models for ECG generation, in ArXiv 2024. [paper][official-code]

• EnergyDiff: Universal Time-Series Energy Data Generation using Diffusion Models, in ArXiv 2024. [paper]

• Unsupervised Blind Joint Dereverberation and Room Acoustics Estimation with Diffusion Models, in ArXiv 2024. [paper][official-code]

• PatchEMG: Few-Shot EMG Signal Generation With Diffusion Models for Data Augmentation to Improve Classification Performance, in IEEE Transactions on Instrumentation and Measurement 2024. [paper]

• A Financial Time Series Denoiser Based on Diffusion Model, in ArXiv 2024. [paper]

• DiffEyeSyn: Diffusion-based User-specific Eye Movement Synthesis, in ArXiv 2024. [paper]

• Classification of imbalanced ECGs through segmentation models and augmented by conditional diffusion model, in Peer J Computer Science 2024. [paper]

• Protecting Activity Sensing Data Privacy Using Hierarchical Information Dissociation, in ArXiv 2024. [paper]

• Few-Shot PPG Signal Generation via Guided Diffusion Models, in IEEE Sensors Journal 2024. [paper]

• Enhancing EEG Signal Generation through a Hybrid Approach Integrating Reinforcement Learning and Diffusion Models, in ArXiv 2024. [paper]

• GADM: Data augmentation using Generative Adversarial Diffusion Model for pulse-based disease identification, in Biomedical Signal Processing and Control 2024. [paper] [official-code]

• Generation of synthetic financial time series by diffusion models, in ArXiv 2024. [paper]

• Utilizing Image Transforms and Diffusion Models for Generative Modeling of Short and Long Time Series, in ArXiv, 2024. [paper] [official-code]

• Federated Time Series Generation on Feature and Temporally Misaligned Data, in ArXiv, 2024. [paper]

• Towards Editing Time Series, in Openreview 2024. [paper] )] [official-code]

Imputation

• CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation, in NeurIPS 2021. [paper] [official-code]

• Modeling Temporal Data as Continuous Functions with Process Diffusion, in ICML 2023. [paper]

• An Observed Value Consistent Diffusion Model for Imputing Missing Values in Multivariate Time Series, in KDD 2023. [paper]

• Diffusion-based Time Series Imputation and Forecasting with Structured State Space Models, in Transactions on Machine Learning Research (TMLR) 2023. [paper] [official-code]

• Density-Aware Temporal Attentive Step-wise Diffusion Model For Medical Time Series Imputation, in CIKM 2023. [paper]

• MEDiC: Mitigating EEG Data Scarcity Via Class-Conditioned Diffusion Model, in DGM4H NeurIPS 2023. [paper]

• Missing Data Filling in Soft Sensing Using Denoising Diffusion Probability Model, in Measurement Science and Technology 2023. [paper]

• Diffusion-Based Time Series Data Imputation for Cloud Failure Prediction at Microsoft 365, in ESEC/FSE 2023. [paper]

• Sasdim: Self-adaptive Noise Scaling Diffusion Model for Spatial Time Series Imputation, in ArXiv 2023. [paper]

• Improving Diffusion Models for ECG Imputation with an Augmented Template Prior, in ArXiv 2023. [paper]

• Imputing time-series microbiome abundance profiles with diffusion model, in IEEE International Conference on Bioinformatics and Biomedicine (BIBM) 2023. [paper] [official-code]

• SADI: Similarity-Aware Diffusion Model-Based Imputation for Incomplete Temporal EHR Data, in International Conference on Artificial Intelligence and Statistics 2024. [paper]

• Self-supervision improves diffusion models for tabular data imputation, in ICLR Workshop on GenAI4DM. [paper]

• Probabilistic Time Series Modeling with Decomposable Denoising Diffusion Model, in ICML 2024. [paper]

• Denoising Diffusion Straightforward Models for Energy Conversion Monitoring Data Imputation, in IEEE Transactions on Industrial Informatics 2024. [paper]

• Filling of Fetal Heart Rate Signal: Diffusion Model Based on Dimension Construction and Period Segmentation, in IEEE Transactions on Consumer Electronics 2024. [paper]

• MTSCI: A Conditional Diffusion Model for Multivariate Time Series Consistent Imputation, in CIKM 2024. [paper] [official-code]

• DiffsFormer: A Diffusion Transformer on Stock Factor Augmentation, in ArXiv 2024. [paper]

• Self-Supervised Learning of Time Series Representation via Diffusion Process and Imputation-Interpolation-Forecasting Mask, in ArXiv 2024. [paper] [official-code]

• Score-CDM: Score-Weighted Convolutional Diffusion Model for Multivariate Time Series Imputation, in ArXiv 2024. [paper]

• Rethinking the Diffusion Models for Numerical Tabular Data Imputation from the Perspective of Wasserstein Gradient Flow, in ArXiv 2024. [paper]

• Pretrained-Guided Conditional Diffusion Models for Microbiome Data Analysis, in ArXiv 2024. [paper][official-code]

• Latent Space Score-based Diffusion Model for Probabilistic Multivariate Time Series Imputation, in ArXiv 2024. [paper]

• TIMBA: Time series Imputation with Bi-directional Mamba Blocks and Diffusion models, in ArXiv 2024. [paper]

• DiffImp: Efficient Diffusion Model for Probabilistic Time Series Imputation with Bidirectional Mamba Backbone, in ArXiv 2024. [paper]

• Self-attention-based Diffusion Model for Time-series Imputation, in AAAI Fall Symposium Series 2024. [paper]

Anomaly Detection

• Imputation-based Time-Series Anomaly Detection with Conditional Weight-Incremental Diffusion Models, in KDD 2023. [paper] [official-code]

• Time Series Anomaly Detection using Diffusion-based Models, in ICDM Workshop 2023. [paper] [official-code]

• Drift doesn’t Matter: Dynamic Decomposition with Diffusion Reconstruction for Unstable Multivariate Time Series Anomaly Detection, in NeurIPS 2023. [paper] [official-code]

• Diff-SwinT: An Integrated Framework of Diffusion Model and Swin Transformer for Radar Jamming Recognition, in Future Internet 2023. [paper]

• Diffusion-Based Time Series Data Imputation for Cloud Failure Prediction at Microsoft 365, in ESEC/FSE 2023. [paper]

• ImDiffusion: Imputed Diffusion Models for Multivariate Time Series Anomaly Detection, in ArXiv 2023. [paper] [official-code]

• DDMT: Denoising Diffusion Mask Transformer Models for Multivariate Time Series Anomaly Detection, in ArXiv 2023. [paper] [official-code]

• Generating HSR Bogie Vibration Signals via Pulse Voltage-Guided Conditional Diffusion Model, in ArXiv 2023. [paper] [official-code]

• Attention-enhanced conditional-diffusion-based data synthesis for data augmentation in machine fault diagnosis, in Engineering Applications of Artificial Intelligence 2024. [paper]

• DiffTAD: Denoising diffusion probabilistic models for vehicle trajectory anomaly detection, in Knowledge-Based Systems 2024. [paper] [official-code]

• Diffusion-UDA: Diffusion-based unsupervised domain adaptation for submersible fault diagnosis, in Electronics Letters 2024. [paper]

• Denoising diffusion implicit model for bearing fault diagnosis under different working loads, in ITM Web of Conferences 2024. [paper]

• Unsupervised Anomaly Detection for Multivariate Time Series Using Diffusion Model in ICASSP 2024. [paper] [official-code]

• Anomaly Detection for Telemetry Time Series Using a Denoising Diffusion Probabilistic Model, in IEEE sensors journal 2024. [paper]

• A novel stochastic process diffusion model for wind turbines condition monitoring and fault identification with multi-parameter information fusion, in Mechanical Systems and Signal Processing 2024. [paper]

• SOIL: Score Conditioned Diffusion Model for Imbalanced Cloud Failure Prediction, in WWW 2024. [paper]

• Reconstruction-Based Anomaly Detection in Wind Turbine Operation Time Series Using Generative Models, in Advances in Artificial Intelligence 2024. [paper]

• Unsupervised diffusion based anomaly detection for time series, in Applied Intelligence 2024. [paper]

• Attention-enhanced conditional-diffusion-based data synthesis for data augmentation in machine fault diagnosis, in Engineering Applications of Artificial Intelligence 2024. [paper]

• Dynamic Splitting of Diffusion Models for Multivariate Time Series Anomaly Detection in a JointCloud Environment, in Knowledge Science, Engineering and Management 2024. [paper]

• Multi-source domain adaptation using diffusion denoising for bearing fault diagnosis under variable working conditions, in Knowledge-Based Systems 2024. [paper]

• Diffusion Model in Normal Gathering Latent Space for Time Series Anomaly Detection, in ECML PKDD 2024. [paper] [official-code]

• Classifier-Free Diffusion-Based Weakly-Supervised Approach for Health Indicator Derivation in Rotating Machines: Advancing Early Fault Detection and Condition Monitoring, in ArXiv 2024. [paper]

• ProDiffAD: Progressively Distilled Diffusion Models for Multivariate Time Series Anomaly Detection in JointCloud Environment, in IJCNN 2024. [paper] [official-code]

• A bearing fault data augmentation method based on hybrid-diversity loss diffusion model and parameter transfer, in Reliability Engineering & System Safety 2024. [paper]

• Extremely imbalanced data intelligent fault diagnosis of rotating impeller with improved denoising diffusion probabilistic models, in Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 2024. [paper]

• Denoising diffusion probabilistic model-enabled data augmentation method for intelligent machine fault diagnosis, in Engineering Applications of Artificial Intelligence 2024. [paper]

Classification and Regression

• CARD: Classification and Regression Diffusion Models, in NeurIPS 2022. [paper] [official-code]

• Applying Generative Models and Transfer Learning to Physiological Data Classification, in Artificial Intelligence Research and Development 2023. [paper]

• Generative AI Enables the Detection of Autism Using EEG Signals, in Biometric Recognition 2023. [paper]

• Enhanced Atrial Fibrillation (AF) Detection via Data Augmentation with Diffusion Model, in International Conference on Computer and Knowledge Engineering 2023. [paper] [official-code]

• Brain-Driven Representation Learning Based on Diffusion Model, in ArXiv 2023. [paper]

• AIGC for RF Sensing: The Case of RFID-based Human Activity Recognition, in International Conference on Computing, Networking and Communications 2024. [paper]

• ECG Captioning with Prior-Knowledge Transformer and Diffusion Probabilistic Model, in Journal of Healthcare Informatics Research 2024. [paper]

• Diffusion Language-Shapelets for Semi-supervised Time-Series Classification, in AAAI 2024. [paper] [official-code]

• Evaluating Diffusion Models for the Automation of Ultrasonic Nondestructive Evaluation Data Analysis, in Algorithms 2024. [paper]

• Fingerprinting in EEG Model IP Protection Using Diffusion Model, in ICMR 2024. [paper]

• Diffusion Model-Based Contrastive Learning for Human Activity Recognition, in IEEE Internet of Things Journal 2024. [paper] [official-code]

• CausalConceptTS: Causal Attributions for Time Series Classification using High Fidelity Diffusion Models, in ArXiv 2024. [paper] [official-code]

• Improving EEG Classification Through Randomly Reassembling Original and Generated Data with Transformer-based Diffusion Models, in ArXiv 2024. [paper]

• Adaptive Diffusion Model-Based Data Augmentation for Unbalanced Time Series Classification, in Chinese Control Conference 2024. [paper]

• Analysis of Human Activity Recognition by Diffusion Models, in UbiComp 2024. [paper]

• A Two-Stage Earthquake Event Classification Model Based on Diffusion Probability Model, in IEEE Transactions on Geoscience and Remote Sensing 2024. [paper]

• Denoising Diffusion Probabilistic Model Enhanced Tool Condition Monitoring Method Under Imbalanced Conditions, in Measurement Science and Technology 2024. [paper]

• EEGCiD: EEG Condensation Into Diffusion Model, in IEEE Transactions on Automation Science and Engineering, 2024. [paper] [official-code]

• IMUDiffusion: A Diffusion Model for Multivariate Time Series Synthetisation for Inertial Motion Capturing Systems, in ArXiv 2024. [paper]

Causal Inference

• Diffusion Model in Causal Inference with Unmeasured Confounders, in ArXiv 2023. [paper] [official-code]

• Brain Diffuser with Hierarchical Transformer for MCI Causality Analysis, in ArXiv 2023. [paper]

• CausalConceptTS: Causal Attributions for Time Series Classification using High Fidelity Diffusion Models, in ArXiv 2024. [paper] [official-code]

• DiffPO: A causal diffusion model for learning distributions of potential outcomes, in ArXiv 2024. [paper] [official-code]

Event Prediction and Classification

• Non-Autoregressive Diffusion-based Temporal Point Processes for Continuous-Time Long-Term Event Prediction, in ArXiv 2023. [paper]

• Add and Thin: Diffusion for Temporal Point Processes, in ArXiv 2023. [paper] [official-code]

• Adversarial Purification for Data-Driven Power System Event Classifiers with Diffusion Models, in ArXiv 2023. [paper]

Foundation Model

• TimeDiT: General-purpose Diffusion Transformers for Time Series Foundation Model, in OpenReview 2024. [paper]

Diffusion Model for Spatio-Temporal Data

• Spatio-temporal Diffusion Point Processes, in KDD 2023. [paper] [official-code]

• DYffusion: A Dynamics-informed Diffusion Model for Spatiotemporal Forecasting, in NeurIPS 2023. [paper] [official-code]

• Extraction and Recovery of Spatio-Temporal Structure in Latent Dynamics Alignment with Diffusion Model, in NeurIPS 2023. [paper] [official-code]

• DiffSTG: Probabilistic Spatio-Temporal Graph with Denoising Diffusion Models, in SIGSPATIAL 2023. [paper]

• PriSTI: A Conditional Diffusion Framework for Spatiotemporal Imputation, in ICDE 2023. [paper] [official-code]

• DiffUFlow: Robust Fine-grained Urban Flow Inference with Denoising Diffusion Model, in CIKM 2023. [paper]

• DiffTraj: Generating GPS Trajectory with Diffusion Probabilistic Model, in NeurIPS 2023. [paper] [official-code]

• ControlTraj: Controllable Trajectory Generation with Topology-Constrained Diffusion Model, in ArXiv 2024. [paper]

• Diff-RNTraj: A Structure-aware Diffusion Model for Road Network-constrained Trajectory Generation, in ArXiv 2024. [paper]

• Origin-Destination Travel Time Oracle for Map-based Services, in SIGMOD 2023. [paper]

• A Graph-Based Scene Encoder for Vehicle Trajectory Prediction Using the Diffusion Model, in CSIS-IAC 2023. [paper]

• Dynamic Causal Explanation Based Diffusion-Variational Graph Neural Network for Spatio-temporal Forecasting, in ArXiv 2023. [paper] [official-code]

• Sasdim: Self-adaptive Noise Scaling Diffusion Model for Spatial Time Series Imputation, in ArXiv 2023. [paper]

• Imputation as Inpainting: Diffusion Models for Spatiotemporal Data Imputation, in OpenReview 2023. [paper]

• Towards Unifying Diffusion Models for Probabilistic Spatio-Temporal Graph Learning, in ArXiv 2023. [paper]

• Predicting the Position Uncertainty at the Time of Closest Approach with Diffusion Models, in ArXiv 2023. [paper]

• ChatTraffic: Text-to-Traffic Generation via Diffusion Model, in ArXiv 2023. [paper] [official-code]

• DiffTAD: Denoising diffusion probabilistic models for vehicle trajectory anomaly detection, in Knowledge-Based Systems 2024. [paper] [official-code]

• Simulating human mobility with a trajectory generation framework based on diffusion model, in International Journal of Geographical Information Science 2024. [paper] [official-code]

• Learning Autoencoder Diffusion Models of Pedestrian Group Relationships for Multimodal Trajectory Prediction, in IEEE Transactions on Instrumentation and Measurement 2024. [paper]

• Graphusion: Latent Diffusion for Graph Generation, in TKDE 2024. [paper]

• Utilizing a Diffusion Model for Pedestrian Trajectory Prediction in Semi-Open Autonomous Driving Environments, in IEEE sensors journal 2024. [paper]

• Knowledge Guided Conditional Diffusion Model for Controllable Mobile Traffic Generation, in WWW 2024. [paper]

• STFDiff: Remote sensing image spatiotemporal fusion with diffusion models, in Information Fusion 2024. [paper]

• DSDRec: Next POI recommendation using deep semantic extraction and diffusion model, in Information Sciences 2024. [paper]

• Latent Diffusion Model for Generating Ensembles of Climate Simulations, in ICML workshop 2024. [paper]

• Diffusion probabilistic model for bike-sharing demand recovery with factual knowledge fusion, in Neural Networks 2024. [paper]

• A conditional diffusion model for probabilistic estimation of traffic states at sensor-free locations, in Transportation Research Part C 2024. [paper]

• Spacetime Separable Latent Diffusion Model with Intensity Structure Information for Precipitation Nowcasting, in IEEE Transactions on Geoscience and Remote Sensing 2024. [paper] [official-code]

• DifTraj: Diffusion Inspired by Intrinsic Intention and Extrinsic Interaction for Multi-Modal Trajectory Prediction, in IJCAI 2024. [paper]

• CDSTraj: Characterized Diffusion and Spatial-Temporal Interaction Network for Trajectory Prediction in Autonomous Driving, in IJCAI 2024. [paper]

• SRNDiff: Short-term Rainfall Nowcasting with Condition Diffusion Model, in ArXiv 2024. [paper]

• Intention-aware Denoising Diffusion Model for Trajectory Prediction, in ArXiv 2024. [paper]

• Graph-Jigsaw Conditioned Diffusion Model for Skeleton-based Video Anomaly Detection, in ArXiv 2024. [paper]

• Diffusion-Based Environment-Aware Trajectory Prediction, in ArXiv 2024. [paper]

• Diff-RNTraj: A Structure-aware Diffusion Model for Road Network-constrained Trajectory Generation, in ArXiv 2024. [paper]

• SpecSTG: A Fast Spectral Diffusion Framework for Probabilistic Spatio-Temporal Traffic Forecasting, in ArXiv 2024. [paper] [official-code]

• Fault Detection in Mobile Networks Using Diffusion Models, in ArXiv 2024. [paper]

• CoNFiLD: Conditional Neural Field Latent Diffusion Model Generating Spatiotemporal Turbulence, in ArXiv 2024. [paper]

• SatDiffMoE: A Mixture of Estimation Method for Satellite Image Super-resolution with Latent Diffusion Models, in ArXiv 2024. [paper]

• Crossfusor: A Cross-Attention Transformer Enhanced Conditional Diffusion Model for Car-Following Trajectory Prediction, in ArXiv 2024. [paper]

• Deep Temporal Deaggregation: Large-Scale Spatio-Temporal Generative Models, in ArXiv 2024. [paper]

• Spatio-Temporal Adaptive Diffusion Models for EEG Super-Resolution in Epilepsy Diagnosis, in ArXiv 2024. [paper]

• Map2Traj: Street Map Piloted Zero-shot Trajectory Generation with Diffusion Model, in ArXiv 2024. [paper]

• RadioDiff: An Effective Generative Diffusion Model for Sampling-Free Dynamic Radio Map Construction, in ArXiv 2024. [paper] [official-code]

• Long-Term Vessel Trajectory Imputation with Physics-Guided Diffusion Probabilistic Model, in KDD 2024. [paper]

• DiffCrime: A Multimodal Conditional Diffusion Model for Crime Risk Map Inference, in KDD 2024. [paper] [official-code]

• Diffusion Model-based Mobile Traffic Generation with Open Data for Network Planning and Optimization, in KDD 2024. [paper] [official-code]

• TrajWeaver: Trajectory Recovery with State Propagation Diffusion Model, in ArXiv 2024. [paper] [official-code]

• A Spatial-Temporal Large Language Model with Diffusion (STLLM-DF) for Enhanced Multi-Mode Traffic System Forecasting, in ArXiv 2024. [paper]

• DM-BDD: Real-time Vessel Trajectory Prediction Based on Diffusion Probability Model Balancing Diversity and Determinacy, in IJCNN 2024. [paper]

• DreamHead: Learning Spatial-Temporal Correspondence via Hierarchical Diffusion for Audio-driven Talking Head Synthesis, in ArXiv 2024. [paper]

• DiffuTraj: A Stochastic Vessel Trajectory Prediction Approach via Guided Diffusion Process, in ArXiv 2024. [paper]

• Precipitation Nowcasting Using Diffusion Transformer with Causal Attention, in ArXiv 2024. [paper]

• ImmerseDiffusion: A Generative Spatial Audio Latent Diffusion Model, in ArXiv 2024. [paper]

• A Spatio-Temporal Diffusion Model for Missing and Real-Time Financial Data Inference, in CIKM 2024. [paper]

• Traj-Explainer: An Explainable and Robust Multi-modal Trajectory Prediction Approach, in ArXiv 2024. [paper]

• FoMo: A Foundation Model for Mobile Traffic Forecasting with Diffusion Model, in ArXiv 2024. [paper]

• DiffLight: A Partial Rewards Conditioned Diffusion Model for Traffic Signal Control with Missing Data, in NeurIPS, 2024. [paper] [official-code]

• Predicting Trajectory Destinations Based on Diffusion Model Integrating Spatiotemporal Features and Urban Contexts, in International Journal of Digital Earth, 2024. [paper]

• ProGen: Revisiting Probabilistic Spatial-Temporal Time Series Forecasting from a Continuous Generative Perspective Using Stochastic Differential Equations, in ArXiv 2024. [paper]

• DiffWT: Diffusion-Based Pedestrian Trajectory Prediction With Time-frequency Wavelet Transform, in IEEE Internet of Things Journal 2024. [paper]

Diffusion Model for Tabular Data

• Diffusion Models for Missing Value Imputation in Tabular Data, in NeurIPS TRL Workshop 2022. [paper] [official-code]

• MissDiff: Training Diffusion Models on Tabular Data with Missing Values, in ICML Workshop 2023. [paper]

• CoDi: Co-evolving Contrastive Diffusion Models for Mixed-type Tabular Synthesis, in ICML 2023. [paper] [official-code]

• TabDDPM: Modelling Tabular Data with Diffusion Models, in ICML 2023. [paper] [official-code]

• Multi-task oriented diffusion model for mortality prediction in shock patients with incomplete data, in Information Fusion 2023. [paper]

• Conditioning Score-Based Generative Models by Neuro-Symbolic Constraints, in ArXiv 2023. [paper]

• On Diffusion Modeling for Anomaly Detection, in ArXiv 2023. [paper] [official-code]

• Generating Tabular Datasets under Differential Privacy, in ArXiv 2023. [paper]

• TabADM: Unsupervised Tabular Anomaly Detection with Diffusion Models, in ArXiv 2023. [paper]

• FinDiff: Diffusion Models for Financial Tabular Data Generation, in ArXiv 2023. [paper]

• AutoDiff: combining Auto-encoder and Diffusion model for tabular data synthesizing, in ArXiv 2023. [paper]

• RF-Diffusion: Radio Signal Generation via Time-Frequency Diffusion, in MobiCom 2024. [paper] [official-code]

• Self-supervision improves diffusion models for tabular data imputation, in ICLR Workshop on GenAI4DM. [paper]

• DiffImpute: Tabular Data Imputation With Denoising Diffusion Probabilistic Model in ArXiv 2024. [paper] [official-code]

• Guided Discrete Diffusion for Electronic Health Record Generation, in ArXiv 2024. [paper]

• Synthesizing Multimodal Electronic Health Records via Predictive Diffusion Models, in ArXiv 2024. [paper]

• TimeAutoDiff: Combining Autoencoder and Diffusion model for time series tabular data synthesizing, in ArXiv 2024. [paper]

• Rethinking the Diffusion Models for Numerical Tabular Data Imputation from the Perspective of Wasserstein Gradient Flow, in ArXiv 2024. [paper]

• Estimating Probability Densities of Tabular Data using a Transformer Model combined with Denoising Diffusion, in OpenReview 2024. [paper]

Applications

Healthcare

• Diff-E: Diffusion-based Learning for Decoding Imagined Speech EEG, in Interspeech 2023. [paper] [official-code]

• EEG Synthetic Data Generation Using Probabilistic Diffusion Models, in Synapsium 2023. [paper] [official-code]

• DeScoD-ECG: Deep Score-Based Diffusion Model for ECG Baseline Wander and Noise Removal, in IEEE Journal of Biomedical and Health Informatics 2023. [paper] [official-code]

• Diffusion-based Conditional ECG Generation with Structured State Space Models, in Computers in Biology and Medicine 2023. [paper] [official-code]

• Density-Aware Temporal Attentive Step-wise Diffusion Model For Medical Time Series Imputation, in CIKM 2023. [paper]

• Applying Generative Models and Transfer Learning to Physiological Data Classification, in Artificial Intelligence Research and Development 2023. [paper]

• MEDiC: Mitigating EEG Data Scarcity Via Class-Conditioned Diffusion Model, in DGM4H NeurIPS 2023. [paper]

• Synthetic Sleep EEG Signal Generation using Latent Diffusion Models, in DGM4H NeurIPS 2023. [paper] [official-code]

• Data Augmentation for EEG Motor Imagery Classification Using Diffusion Model, in Data Science and Artificial Intelligence conference 2023. [paper]

• Generative AI Enables the Detection of Autism Using EEG Signals, in Biometric Recognition 2023. [paper]

• Enhanced Atrial Fibrillation (AF) Detection via Data Augmentation with Diffusion Model, in International Conference on Computer and Knowledge Engineering 2023. [paper] [official-code]

• Multi-task oriented diffusion model for mortality prediction in shock patients with incomplete data, in Information Fusion 2023. [paper]

• Imputing time-series microbiome abundance profiles with diffusion model, in IEEE International Conference on Bioinformatics and Biomedicine (BIBM) 2023. [paper] [official-code]

• DiffECG: A Generalized Probabilistic Diffusion Model for ECG Signals Synthesis, in ArXiv 2023. [paper]

• Synthetic Health-related Longitudinal Data with Mixed-type Variables Generated using Diffusion Models, in ArXiv 2023. [paper]

• EHRDiff: Exploring Realistic EHR Synthesis with Diffusion Models, in ArXiv 2023. [paper] [official-code]

• Synthesizing Mixed-type Electronic Health Records using Diffusion Models, in ArXiv 2023. [paper]

• MedDiff: Generating Electronic Health Records using Accelerated Denoising Diffusion Model, in ArXiv 2023. [paper]

• Data Augmentation for Seizure Prediction with Generative Diffusion Model, in ArXiv 2023. [paper]

• Region-Disentangled Diffusion Model for High-Fidelity PPG-to-ECG Translation, in ArXiv 2023. [paper]

• Domain-Specific Denoising Diffusion Probabilistic Models for Brain Dynamics, in ArXiv 2023. [paper] [official-code]

• Fast and Reliable Generation of EHR Time Series via Diffusion Models, in ArXiv 2023. [paper]

• Improving Diffusion Models for ECG Imputation with an Augmented Template Prior, in ArXiv 2023. [paper]

• Brain-Driven Representation Learning Based on Diffusion Model, in ArXiv 2023. [paper]

• Reliable Generation of EHR Time Series via Diffusion Models, in ArXiv 2023. [paper]

• Brain Diffuser with Hierarchical Transformer for MCI Causality Analysis, in ArXiv 2023. [paper]

• Bayesian ECG reconstruction using denoising diffusion generative models, in ArXiv 2023. [paper]

• Addiction-related brain networks identification via Graph Diffusion Reconstruction Network, in Brain Informatics 2024. [paper]

• A transformer-based diffusion probabilistic model for heart rate and blood pressure forecasting in Intensive Care Unit, in Computer Methods and Programs in Biomedicine 2024. [paper] [official-code]

• ECG Captioning with Prior-Knowledge Transformer and Diffusion Probabilistic Model, in Journal of Healthcare Informatics Research 2024. [paper]

• SADI: Similarity-Aware Diffusion Model-Based Imputation for Incomplete Temporal EHR Data, in International Conference on Artificial Intelligence and Statistics 2024. [paper]

• Fingerprinting in EEG Model IP Protection Using Diffusion Model, in ICMR 2024. [paper]

• Learning Joint 2-D and 3-D Graph Diffusion Models for Complete Molecule Generation, in IEEE Transactions on Neural Networks and Learning Systems 2024. [paper]

• Filling of Fetal Heart Rate Signal: Diffusion Model Based on Dimension Construction and Period Segmentation, in IEEE Transactions on Consumer Electronics 2024. [paper]

• Diffusion based comprehensive approach for highly contaminated electrocardiogram segmentation, in Biomedical Signal Processing and Control 2024. [paper]

• ECGDiff: Conditional Diffusion Model for ECG Reconstruction from Doppler Signals, in IEEE International Conference on Communications 2024. [paper]

• BioDiffusion: A Versatile Diffusion Model for Biomedical Signal Synthesis, in ArXiv 2024. [paper][official-code]

• Synthesizing EEG Signals from Event-Related Potential Paradigms with Conditional Diffusion Models, in ArXiv 2024. [paper]

• DiffPhys: Enhancing Signal-to-Noise Ratio in Remote Photoplethysmography Signal Using a Diffusion Model Approach, in Bioengineering 2024. [paper

• Guided Discrete Diffusion for Electronic Health Record Generation, in ArXiv 2024. [paper]

• Synthesizing Multimodal Electronic Health Records via Predictive Diffusion Models, in ArXiv 2024. [paper]

• Spatio-Temporal Adaptive Diffusion Models for EEG Super-Resolution in Epilepsy Diagnosis, in ArXiv 2024. [paper]

• SSSD-ECG-nle: New Label Embeddings with Structured State-Space Models for ECG generation, in ArXiv 2024. [paper][official-code]

• Improving EEG Classification Through Randomly Reassembling Original and Generated Data with Transformer-based Diffusion Models, in ArXiv 2024. [paper]

• PatchEMG: Few-Shot EMG Signal Generation With Diffusion Models for Data Augmentation to Improve Classification Performance, in IEEE Transactions on Instrumentation and Measurement 2024. [paper]

• DiffEyeSyn: Diffusion-based User-specific Eye Movement Synthesis, in ArXiv 2024. [paper]

• Classification of imbalanced ECGs through segmentation models and augmented by conditional diffusion model, in Peer J Computer Science 2024. [paper]

• Few-Shot PPG Signal Generation via Guided Diffusion Models, in IEEE Sensors Journal 2024. [paper]

• RespDiff: An End-to-End Multi-scale RNN Diffusion Model for Respiratory Waveform Estimation from PPG Signals, in ArXiv 2024. [paper]

• BP-Diff: a conditional diffusion model for cuffless continuous BP waveform estimation using U-Net, in Physiological Measurement 2024. [paper]

• Enhancing EEG Signal Generation through a Hybrid Approach Integrating Reinforcement Learning and Diffusion Models, in ArXiv 2024. [paper]

• GADM: Data augmentation using Generative Adversarial Diffusion Model for pulse-based disease identification, in Biomedical Signal Processing and Control 2024. [paper] [official-code]

• DiffPO: A causal diffusion model for learning distributions of potential outcomes, in ArXiv 2024. [paper] [official-code]

• EEG-DIF: Early Warning of Epileptic Seizures through Generative Diffusion Model-based Multi-channel EEG Signals Forecasting, in ArXiv 2024. [paper] [official-code]

• EEGCiD: EEG Condensation Into Diffusion Model, in IEEE Transactions on Automation Science and Engineering, 2024. [paper] [official-code]

Sequential Recommendation

• Recommendation via Collaborative Diffusion Generative Model, in Knowledge Science, Engineering and Management: 15th International Conference (KSEM) 2022. [paper]

• Diffusion Recommender Model, in SIGIR 2023. [paper] [official-code]

• Diffusion Augmentation for Sequential Recommendation, in CIKM 2023. [paper] [official-code]

• Discrete Conditional Diffusion for Reranking in Recommendation, in ArXiv 2023. [paper]

• RecFusion: A Binomial Diffusion Process for 1D Data for Recommendation, in ArXiv 2023. [paper] [official-code]

• Conditional Denoising Diffusion for Sequential Recommendation, in ArXiv 2023. [paper]

• Sequential Recommendation with Diffusion Models, in ArXiv 2023. [paper]

• DiffuRec: A Diffusion Model for Sequential Recommendation, in ArXiv 2023. [paper]

• Towards Graph-Aware Diffusion Modeling for Collaborative Filtering, in ArXiv 2023. [paper]

• Generate What You Prefer: Reshaping Sequential Recommendation via Guided Diffusion, in NeurIPS 2024. [paper] [official-code]

• NetDiff: A Service-Guided Hierarchical Diffusion Model for Network Flow Trace Generation, in Proceedings of the ACM on Networking 2024. [paper]

• Plug-in Diffusion Model for Sequential Recommendation, in ArXiv 2024. [paper][official-code]

• DifFaiRec: Generative Fair Recommender with Conditional Diffusion Model, in ArXiv 2024. [paper]

Weather

• SwinRDM: Integrate SwinRNN with Diffusion Model towards High-Resolution and High-Quality Weather Forecasting, in AAAI 2023. [paper]

• DiffESM: Conditional Emulation of Earth System Models with Diffusion Models, in ICLR 2023. [paper] [official-code]

• Precipitation Nowcasting with Generative Diffusion Models, in ArXiv 2023. [paper] [official-code]

• SEEDS: Emulation of Weather Forecast Ensembles with Diffusion Models, in ArXiv 2023. [paper]

• Diffusion Models for High-Resolution Solar Forecasts, in ArXiv 2023. [paper]

• Latent Diffusion Models for Generative Precipitation Nowcasting with Accurate Uncertainty Quantification, in ArXiv 2023. [paper] [official-code]

• WiREDiff: a Wind Resolution-Enhancing Diffusion Model, in Working Paper 2023. [link] [paper] [official-code]

• STFDiff: Remote sensing image spatiotemporal fusion with diffusion models, in Information Fusion 2024. [paper]

• Latent Diffusion Model for Generating Ensembles of Climate Simulations, in ICML workshop 2024. [paper]

• Spacetime Separable Latent Diffusion Model with Intensity Structure Information for Precipitation Nowcasting, in IEEE Transactions on Geoscience and Remote Sensing 2024. [paper] [official-code]

• DiffDA: a diffusion model for weather-scale data assimilation, in ArXiv 2024. [paper]

• SRNDiff: Short-term Rainfall Nowcasting with Condition Diffusion Model, in ArXiv 2024. [paper]

• Precipitation Nowcasting Using Diffusion Transformer with Causal Attention, in ArXiv 2024. [paper]

Energy and Electricity

• Short-Term Wind Power Scenario Generation Based on Conditional Latent Diffusion Models, in IEEE Transactions on Sustainable Energy 2023. [paper]

• Diff-SwinT: An Integrated Framework of Diffusion Model and Swin Transformer for Radar Jamming Recognition, in Future Internet 2023. [paper]

• A Short-Term Wind Power Scenario Generation Method Based on Conditional Diffusion Model, in IEEE Sustainable Power and Energy Conference (iSPEC) 2023. [paper]

• Scenario Generation of Renewable Energy Based on Improved Diffusion Model, in IEEE Sustainable Power and Energy Conference (iSPEC) 2023. [paper]

• DiffCharge: Generating EV Charging Scenarios via a Denoising Diffusion Model, in ArXiv 2023. [paper] [official-code]

• Customized Load Profiles Synthesis for Electricity Customers Based on Conditional Diffusion Models, in ArXiv 2023. [paper]

• DiffLoad: Uncertainty Quantification in Load Forecasting with Diffusion Model, in ArXiv 2023. [paper]

• Denoising Diffusion Probabilistic Models for Probabilistic Energy Forecasting, in ArXiv 2023. [paper] [official-code]

• Adversarial Purification for Data-Driven Power System Event Classifiers with Diffusion Models, in ArXiv 2023. [paper]

• Improved Efficient Two-Stage Denoising Diffusion Power System Measurement Recovery Against False Data Injection Attacks and Data Losses, in ArXiv 2023. [paper]

• Residential Customer Baseline Load Estimation Based on Conditional Denoising Diffusion Probabilistic Model, in IEEE 4th International Conference in Power Engineering Applications (ICPEA) 2024. [paper]

• Detection and Imputation Based Two-Stage Denoising Diffusion Power System Measurement Recovery Under Cyber-Physical Uncertainties, in IEEE Transactions on Smart Grid 2024. [paper]

• Probabilistic Building Load Forecasting via Conditional Diffusion Model, in e-Energy 2024. [paper]

• Multivariate Time-series Diffusion Model-based Generation of Transient Trajectories for Power System Applications, in IEEE/PES Transmission and Distribution Conference and Exposition (T&D) 2024. [paper]

• Denoising Diffusion Straightforward Models for Energy Conversion Monitoring Data Imputation, in IEEE Transactions on Industrial Informatics 2024. [paper]

• DiffusionLSTM: A Framework for Image Sequence Generation and its Application to Oil Spill Monitoring and Prediction, in IEEE Transactions on Geoscience and Remote Sensing 2024. [paper]

• DiffPLF: A Conditional Diffusion Model for Probabilistic Forecasting of EV Charging Load, in ArXiv 2024. [paper] [official-code]

• Creating synthetic energy meter data using conditional diffusion and building metadata, in ArXiv 2024. [paper] [official-code]

• Generating Synthetic Net Load Data with Physics-informed Diffusion Model, in ArXiv 2024. [paper]

• EnergyDiff: Universal Time-Series Energy Data Generation using Diffusion Models, in ArXiv 2024. [paper]

• RadioDiff: An Effective Generative Diffusion Model for Sampling-Free Dynamic Radio Map Construction, in ArXiv 2024. [paper] [official-code]

• DiffLoad: Uncertainty Quantification in Electrical Load Forecasting with the Diffusion Model, in IEEE Transactions on Power Systems 2024. [paper] [official-code]

• A novel wind power forecast diffusion model based on prior knowledge, in IET Renewable Power Generation 2024. [paper]

• PV-Diff: Probability Prediction of Short-term Photovoltaic Power Interval Based on Conditional Diffusion Model, in Chinese Control Conference 2024. [paper]

• DiffBatt: A Diffusion Model for Battery Degradation Prediction and Synthesis, in ArXiv 2024. [paper] [official-code]

Math and Physics

• A Physics-informed Diffusion Model for High-fidelity Flow Field Reconstruction, in Journal of Computational Physics 2023. [paper] [official-code]

• DiTTO: Diffusion-inspired Temporal Transformer Operator, in ArXiv 2023. [paper]

• Infinite-dimensional Diffusion Models for Function Spaces, in ArXiv 2023. [paper]

• Generative Diffusion Learning for Parametric Partial Differential Equations, in ArXiv 2023. [paper]

• CoNFiLD: Conditional Neural Field Latent Diffusion Model Generating Spatiotemporal Turbulence, in ArXiv 2024. [paper]

Finance

• Diffusion Variational Autoencoder for Tackling Stochasticity in Multi-Step Regression Stock Price Prediction, in CIKM 2023. [paper] [official-code]

• FinDiff: Diffusion Models for Financial Tabular Data Generation, in ArXiv 2023. [paper]

• Synthetic Data Applications in Finance, in ArXiv 2023. [paper]

• DiffSTOCK: Probabilistic relational Stock Market Predictions using Diffusion Models, in ICASSP 2024. [paper]

• Multi-Modality Conditional Diffusion Model for Time Series Forecasting of Live Sales Volume, in ICASSP 2024. [paper]

• Synthetic Asset Price Paths Generation Using Denoising Diffusion Probabilistic Model, in SCML 2024. [paper]

• DiffsFormer: A Diffusion Transformer on Stock Factor Augmentation, in ArXiv 2024. [paper]

• A Financial Time Series Denoiser Based on Diffusion Model, in ArXiv 2024. [paper]

• A Spatio-Temporal Diffusion Model for Missing and Real-Time Financial Data Inference, in CIKM 2024. [paper]

• Generation of synthetic financial time series by diffusion models, in ArXiv 2024. [paper]

AIOps

• Maat: Performance Metric Anomaly Anticipation for Cloud Services with Conditional Diffusion, in IEEE/ACM International Conference on Automated Software Engineering 2023. [paper] [official-code]

• Diffusion-Based Time Series Data Imputation for Cloud Failure Prediction at Microsoft 365, in ESEC/FSE 2023. [paper]

• NetDiffus: Network Traffic Generation by Diffusion Models through Time-Series Imaging, in ArXiv 2023. [paper]

• SOIL: Score Conditioned Diffusion Model for Imbalanced Cloud Failure Prediction, in WWW 2024. [paper]

• Dynamic Splitting of Diffusion Models for Multivariate Time Series Anomaly Detection in a JointCloud Environment, in Knowledge Science, Engineering and Management 2024. [paper]

• ProDiffAD: Progressively Distilled Diffusion Models for Multivariate Time Series Anomaly Detection in JointCloud Environment, in IJCNN 2024. [paper] [official-code]

Environment

• TimeDDPM: Time series augmentation strategy for industrial soft sensing, in IEEE Sensors Journal 2023. [paper]

• Deep Diffusion Models for Seismic Processing, in Computers & Geosciences 2023. [paper]

• Data-driven and knowledge-guided denoising diffusion model for flood forecasting, in Expert Systems with Applications 2023. [paper]

• Time Series Diffusion Method: A Denoising Diffusion Probabilistic Model for Vibration Signal Generation, in ArXiv 2023. [paper]

• Quantifying uncertainty: Air quality forecasting based on dynamic spatial-temporal denoising diffusion Probabilistic model, in Environmental Research 2024. [paper]

• Exploring denoising diffusion probabilistic model for daily streamflow gap filling in Central Asia typical watersheds, in Journal of Hydrology: Regional Studies 2024. [paper]

• Cold Diffusion Model for Seismic Denoising, 2024. [paper] [official-code]

• Comparative Analysis of TEC Prediction Models During Geomagnetic Storm and Quiet Conditions Using Diffusion, Transformer, and SARIMA, 2024. [paper]

• A diffusion model-based framework USDDM for random noise elimination of seismic signal, in Earth Science Informatics 2024. [paper]

• SeisResoDiff: Seismic resolution enhancement based on a diffusion model, in Petroleum Science 2024. [paper]

Traffic

• DiffUFlow: Robust Fine-grained Urban Flow Inference with Denoising Diffusion Model, in CIKM 2023. [paper]

• Origin-Destination Travel Time Oracle for Map-based Services, in SIGMOD 2023. [paper]

• A Graph-Based Scene Encoder for Vehicle Trajectory Prediction Using the Diffusion Model, in CSIS-IAC 2023. [paper]

• Generating HSR Bogie Vibration Signals via Pulse Voltage-Guided Conditional Diffusion Model, in ArXiv 2023. [paper] [official-code]

• DiffTAD: Denoising diffusion probabilistic models for vehicle trajectory anomaly detection, in Knowledge-Based Systems 2024. [paper] [official-code]

• Utilizing a Diffusion Model for Pedestrian Trajectory Prediction in Semi-Open Autonomous Driving Environments, in IEEE sensors journal 2024. [paper]

• Knowledge Guided Conditional Diffusion Model for Controllable Mobile Traffic Generation, in WWW 2024. [paper]

• DSDRec: Next POI recommendation using deep semantic extraction and diffusion model, in Information Sciences 2024. [paper]

• Diffusion probabilistic model for bike-sharing demand recovery with factual knowledge fusion, in Neural Networks 2024. [paper]

• A conditional diffusion model for probabilistic estimation of traffic states at sensor-free locations, in Transportation Research Part C 2024. [paper]

• DifTraj: Diffusion Inspired by Intrinsic Intention and Extrinsic Interaction for Multi-Modal Trajectory Prediction, in IJCAI 2024. [paper]

• CDSTraj: Characterized Diffusion and Spatial-Temporal Interaction Network for Trajectory Prediction in Autonomous Driving, in IJCAI 2024. [paper]

• SpecSTG: A Fast Spectral Diffusion Framework for Probabilistic Spatio-Temporal Traffic Forecasting, in ArXiv 2024. [paper] [official-code]

• Intention-aware Denoising Diffusion Model for Trajectory Prediction, in ArXiv 2024. [paper]

• Diffusion-Based Environment-Aware Trajectory Prediction, in ArXiv 2024. [paper]

• Diff-RNTraj: A Structure-aware Diffusion Model for Road Network-constrained Trajectory Generation, in ArXiv 2024. [paper]

• SatDiffMoE: A Mixture of Estimation Method for Satellite Image Super-resolution with Latent Diffusion Models, in ArXiv 2024. [paper]

• Crossfusor: A Cross-Attention Transformer Enhanced Conditional Diffusion Model for Car-Following Trajectory Prediction, in ArXiv 2024. [paper]

• Map2Traj: Street Map Piloted Zero-shot Trajectory Generation with Diffusion Model, in ArXiv 2024. [paper]

• Long-Term Vessel Trajectory Imputation with Physics-Guided Diffusion Probabilistic Model, in KDD 2024. [paper]

• DiffCrime: A Multimodal Conditional Diffusion Model for Crime Risk Map Inference, in KDD 2024. [paper] [official-code]

• Diffusion Model-based Mobile Traffic Generation with Open Data for Network Planning and Optimization, in KDD 2024. [paper] [official-code]

• TrajWeaver: Trajectory Recovery with State Propagation Diffusion Model, in ArXiv 2024. [paper] [official-code]

• A Spatial-Temporal Large Language Model with Diffusion (STLLM-DF) for Enhanced Multi-Mode Traffic System Forecasting, in ArXiv 2024. [paper]

• DM-BDD: Real-time Vessel Trajectory Prediction Based on Diffusion Probability Model Balancing Diversity and Determinacy, in IJCNN 2024. [paper]

• DiffuTraj: A Stochastic Vessel Trajectory Prediction Approach via Guided Diffusion Process, in ArXiv 2024. [paper]

• Traj-Explainer: An Explainable and Robust Multi-modal Trajectory Prediction Approach, in ArXiv 2024. [paper]

• FoMo: A Foundation Model for Mobile Traffic Forecasting with Diffusion Model, in ArXiv 2024. [paper]

• DiffLight: A Partial Rewards Conditioned Diffusion Model for Traffic Signal Control with Missing Data, in NeurIPS, 2024. [paper] [official-code]

• Predicting Trajectory Destinations Based on Diffusion Model Integrating Spatiotemporal Features and Urban Contexts, in International Journal of Digital Earth, 2024. [paper]

Manufacturing

• Multi-scale Conditional Diffusion Model for Deposited Droplet Volume Measurement in Inkjet Printing Manufacturing, in Journal of Manufacturing Systems 2023. [paper]

• Missing Data Filling in Soft Sensing Using Denoising Diffusion Probability Model, in Measurement Science and Technology 2023. [paper]

• Unsupervised Statistical Feature-Guided Diffusion Model for Sensor-based Human Activity Recognition, in ArXiv 2023. [paper]

• Attention-enhanced conditional-diffusion-based data synthesis for data augmentation in machine fault diagnosis, in Engineering Applications of Artificial Intelligence 2024. [paper]

• A novel gear RUL prediction method by diffusion model generation health index and attention guided multi-hierarchy LSTM, in Scientific Reports 2024. [paper]

• Diffusion-UDA: Diffusion-based unsupervised domain adaptation for submersible fault diagnosis, in Electronics Letters 2024. [paper]

• Denoising diffusion implicit model for bearing fault diagnosis under different working loads, in ITM Web of Conferences 2024. [paper]

• AIGC for RF Sensing: The Case of RFID-based Human Activity Recognition, in International Conference on Computing, Networking and Communications 2024. [paper]

• Online prediction of mechanical and electrical quality in ultrasonic metal welding using time series generation and deep learning, in Engineering Failure Analysis 2024. [paper]

• A novel stochastic process diffusion model for wind turbines condition monitoring and fault identification with multi-parameter information fusion, in Mechanical Systems and Signal Processing 2024. [paper]

• Diffusion Generative Model-Based Learning for Smart Layer-Wise Monitoring of Additive Manufacturing, in J. Comput. Inf. Sci. Eng. 2024. [paper]

• Reconstruction-Based Anomaly Detection in Wind Turbine Operation Time Series Using Generative Models, in Advances in Artificial Intelligence 2024. [paper]

• Parameter sharing fault data generation method based on diffusion model under imbalance data, in Measurement Science and Technology 2024. [paper]

• Attention-enhanced conditional-diffusion-based data synthesis for data augmentation in machine fault diagnosis, in Engineering Applications of Artificial Intelligence 2024. [paper]

• DF-CDM: Conditional diffusion model with data fusion for structural dynamic response reconstruction, in Mechanical Systems and Signal Processing 2024. [paper]

• Data augmentation based on diffusion probabilistic model for remaining useful life estimation of aero-engines, in Reliability Engineering and System Safety 2024. [paper

• Multi-source domain adaptation using diffusion denoising for bearing fault diagnosis under variable working conditions, in Knowledge-Based Systems 2024. [paper]

• Diff-MTS: Temporal-Augmented Conditional Diffusion-based AIGC for Industrial Time Series Towards the Large Model Era, in ArXiv 2024. [paper]

• Classifier-Free Diffusion-Based Weakly-Supervised Approach for Health Indicator Derivation in Rotating Machines: Advancing Early Fault Detection and Condition Monitoring, in ArXiv 2024. [paper]

• Analysis of Human Activity Recognition by Diffusion Models, in UbiComp 2024. [paper]

• A bearing fault data augmentation method based on hybrid-diversity loss diffusion model and parameter transfer, in Reliability Engineering & System Safety 2024. [paper]

• Extremely imbalanced data intelligent fault diagnosis of rotating impeller with improved denoising diffusion probabilistic models, in Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 2024. [paper]

• Denoising diffusion probabilistic model-enabled data augmentation method for intelligent machine fault diagnosis, in Engineering Applications of Artificial Intelligence 2024. [paper]

• Diffusion-driven Incomplete Multimodal Learning for Air Quality Prediction, in ACM Transactions on Internet of Things, 2024. [paper] [official-code]

• IMUDiffusion: A Diffusion Model for Multivariate Time Series Synthetisation for Inertial Motion Capturing Systems, in ArXiv 2024. [paper]

Audio

• DiffWave: A Versatile Diffusion Model for Audio Synthesis, in ICLR 2021. [paper] [official-code]

• Speech Enhancement with Score-Based Generative Models in the Complex STFT Domain, in Interspeech 2022. [paper]

• Conditional Diffusion Probabilistic Model for Speech Enhancement in ICASSP 2022. [paper] [official-code]

• Universal Speech Enhancement with Score-based Diffusion in ArXiv 2022. [paper]

• Speech Enhancement and Dereverberation with Diffusion-based Generative Models, in IEEE/ACM Transactions on Audio, Speech, and Language Processing 2023. [paper] [official-code]

• StoRM: A Diffusion-based Stochastic Regeneration Model for Speech Enhancement and Dereverberation, IEEE/ACM Transactions on Audio, Speech, and Language Processing 2023. [paper] [official-code]

• Reducing the Prior Mismatch of Stochastic Differential Equations for Diffusion-based Speech Enhancement, in Interspeech 2023. [paper] [official-code]

• Revisiting denoising diffusion probabilistic models for speech enhancement: Condition collapse, efficiency and refinement, in AAAI 2023. [paper] [official-code]

• Dose: Diffusion dropout with adaptive prior for speech enhancement, in NeurIPS 2023. [paper] [official-code]

• A Study on Speech Enhancement Based on Diffusion Probabilistic Model, in APSIPA 2023. [paper] [official-code]

• CRA-DIFFUSE: Improved Cross-Domain Speech Enhancement Based on Diffusion Model with T-F Domain Pre-Denoising, in ICME 2023. [paper]

• Fast Diffusion GAN Model for Symbolic Music Generation Controlled by Emotions, in ArXiv 2023. [paper]

• DiffuseRoll: multi-track multi-attribute music generation based on diffusion model, in Multimedia Systems 2024. [paper] [official-code]

• Pre-training Feature Guided Diffusion Model for Speech Enhancement, in Interspeech 2024. [paper]

• Combining audio control and style transfer using latent diffusion, in ISMIR 2024. [paper] [official-code]

• Long-form music generation with latent diffusion, in ArXiv 2024. [paper] [official-code]

• Unsupervised Blind Joint Dereverberation and Room Acoustics Estimation with Diffusion Models, in ArXiv 2024. [paper][official-code]

• DreamHead: Learning Spatial-Temporal Correspondence via Hierarchical Diffusion for Audio-driven Talking Head Synthesis, in ArXiv 2024. [paper]

• ImmerseDiffusion: A Generative Spatial Audio Latent Diffusion Model, in ArXiv 2024. [paper]

Biology

• Generation of synthetic whole-slide image tiles of tumours from RNA-sequencing data via cascaded diffusion models, in Nature Biomedical Engineering 2024. [paper] [official-code]

• Latent Diffusion for Neural Spiking Data, in ArXiv 2024. [paper][official-code]

• Pretrained-Guided Conditional Diffusion Models for Microbiome Data Analysis, in ArXiv 2024. [paper][official-code]

Related Diffusion Model Resources and Surveys

• A Survey on Generative Diffusion Models, in ArXiv 2022. [paper] [link]

• Diffusion Models: A Comprehensive Survey of Methods and Applications, in ACM Computing Surveys 2023. [paper] [link]

• Diffusion Models for Time Series Applications: A Survey, in ArXiv 2023. [paper]

• A Comprehensive Survey on Generative Diffusion Models for Structured Data, in ArXiv 2023. [paper] [link]

• Awesome-Diffusion-Models. [link]