| CAnDOIT: Causal Discovery with Observational and Interventional Data from Time-Series | Oct 3, 2024 | Causal DiscoveryTime Series | CodeCode Available | 2 |
| PyPOTS: A Python Toolbox for Data Mining on Partially-Observed Time Series | May 30, 2023 | Anomaly DetectionClassification | CodeCode Available | 2 |
| Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Leading Indicators | Jan 31, 2024 | Multivariate Time Series ForecastingTime Series | CodeCode Available | 2 |
| Rethinking the Power of Timestamps for Robust Time Series Forecasting: A Global-Local Fusion Perspective | Sep 27, 2024 | Time SeriesTime Series Forecasting | CodeCode Available | 2 |
| CATCH: Channel-Aware multivariate Time Series Anomaly Detection via Frequency Patching | Oct 16, 2024 | Anomaly DetectionTime Series | CodeCode Available | 2 |
| Frequency-domain MLPs are More Effective Learners in Time Series Forecasting | Nov 10, 2023 | Time SeriesTime Series Forecasting | CodeCode Available | 2 |
| Financial Fine-tuning a Large Time Series Model | Dec 13, 2024 | Image GenerationPrediction | CodeCode Available | 2 |
| An End-to-End Structure with Novel Position Mechanism and Improved EMD for Stock Forecasting | Mar 25, 2024 | PositionTime Series | CodeCode Available | 2 |
| Salesforce CausalAI Library: A Fast and Scalable Framework for Causal Analysis of Time Series and Tabular Data | Jan 25, 2023 | Causal DiscoveryCausal Inference | CodeCode Available | 2 |
| Fin-GAN: forecasting and classifying financial time series via generative adversarial networks | Jan 31, 2024 | Generative Adversarial NetworkProbabilistic Time Series Forecasting | CodeCode Available | 2 |
