| STAEformer: Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting | Aug 21, 2023 | Time SeriesTraffic Prediction | CodeCode Available | 2 |
| Predict, Refine, Synthesize: Self-Guiding Diffusion Models for Probabilistic Time Series Forecasting | Jul 21, 2023 | ImputationProbabilistic Time Series Forecasting | CodeCode Available | 2 |
| A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection | Jul 7, 2023 | Anomaly DetectionImputation | CodeCode Available | 2 |
| FITS: Modeling Time Series with 10k Parameters | Jul 6, 2023 | Anomaly DetectionTime Series | CodeCode Available | 2 |
| tsdownsample: high-performance time series downsampling for scalable visualization | Jul 5, 2023 | CPUTime Series | CodeCode Available | 2 |
| DCdetector: Dual Attention Contrastive Representation Learning for Time Series Anomaly Detection | Jun 17, 2023 | Anomaly DetectionContrastive Learning | CodeCode Available | 2 |
| Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects | Jun 16, 2023 | Anomaly DetectionSelf-Supervised Learning | CodeCode Available | 2 |
| TSMixer: Lightweight MLP-Mixer Model for Multivariate Time Series Forecasting | Jun 14, 2023 | Multivariate Time Series ForecastingRepresentation Learning | CodeCode Available | 2 |
| Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors | May 30, 2023 | Time Series | CodeCode Available | 2 |
| PyPOTS: A Python Toolbox for Data Mining on Partially-Observed Time Series | May 30, 2023 | Anomaly DetectionClassification | CodeCode Available | 2 |
