Diffusion Model for Time Series, SpatioTemporal and Tabular 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 newest resources. If you found any missed resources (paper/code) or errors, please feel free to open an issue or make a pull request.

Contents

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

Diffusion Model for Time Series Data

Forecasting and 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]

• 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]

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]

• 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]

• 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]

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]

• 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]

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]

• 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]

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]

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

Causal Inference

• Diffusion Model in Causal Inference with Unmeasured Confounders, in arXiv 2023. [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]

Diffusion Model for SpatioTemporal 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]

• Adaptive Graph Neural Diffusion for Traffic Demand Forecasting, in CIKM 2023. [paper]

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

• 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]

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]

• 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]

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]

• 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]

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]

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]

Video

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]

• 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]

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]

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]

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]

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

Environment

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

Traffic

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

• Adaptive Graph Neural Diffusion for Traffic Demand Forecasting, in CIKM 2023. [paper]

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

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]

Audio

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

• 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]

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

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]