| A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection | Jul 7, 2023 | Anomaly DetectionImputation | CodeCode Available | 2 | 5 |
| Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting | Jun 6, 2024 | Computational EfficiencyData Integration | CodeCode Available | 2 | 5 |
| A Survey on Time-Series Pre-Trained Models | May 18, 2023 | SurveyTime Series | CodeCode Available | 2 | 5 |
| Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting | Jun 29, 2019 | Time SeriesTime Series Analysis | CodeCode Available | 2 | 5 |
| Adaptive Probabilistic ODE Solvers Without Adaptive Memory Requirements | Oct 14, 2024 | State EstimationTime Series | CodeCode Available | 2 | 5 |
| Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy | Oct 6, 2021 | Anomaly DetectionTime Series | CodeCode Available | 2 | 5 |
| ETSformer: Exponential Smoothing Transformers for Time-series Forecasting | Feb 3, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 2 | 5 |
| European Space Agency Benchmark for Anomaly Detection in Satellite Telemetry | Jun 25, 2024 | Anomaly DetectionTime Series | CodeCode Available | 2 | 5 |
| Efficient Multivariate Time Series Forecasting via Calibrated Language Models with Privileged Knowledge Distillation | May 4, 2025 | Knowledge DistillationMultivariate Time Series Forecasting | CodeCode Available | 2 | 5 |
| A Survey of Financial AI: Architectures, Advances and Open Challenges | Nov 1, 2024 | Decision MakingPortfolio Optimization | CodeCode Available | 2 | 5 |
