| SST: Multi-Scale Hybrid Mamba-Transformer Experts for Long-Short Range Time Series Forecasting | Apr 23, 2024 | MambaTime Series | CodeCode Available | 3 | 5 |
| Is Mamba Effective for Time Series Forecasting? | Mar 17, 2024 | Computational EfficiencyMamba | CodeCode Available | 3 | 5 |
| Meta-Transformer: A Unified Framework for Multimodal Learning | Jul 20, 2023 | Time Series | CodeCode Available | 3 | 5 |
| A Survey of Time Series Foundation Models: Generalizing Time Series Representation with Large Language Model | May 3, 2024 | Decision MakingFew-Shot Learning | CodeCode Available | 2 | 5 |
| A Survey of Financial AI: Architectures, Advances and Open Challenges | Nov 1, 2024 | Decision MakingPortfolio Optimization | CodeCode Available | 2 | 5 |
| A3T-GCN: Attention Temporal Graph Convolutional Network for Traffic Forecasting | Jun 20, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 2 | 5 |
| HierarchicalForecast: A Reference Framework for Hierarchical Forecasting in Python | Jul 7, 2022 | BIG-bench Machine LearningDecision Making | CodeCode Available | 2 | 5 |
| Harnessing Vision Models for Time Series Analysis: A Survey | Feb 13, 2025 | SurveyTime Series | CodeCode Available | 2 | 5 |
| Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting | May 17, 2024 | Time SeriesTime Series Forecasting | CodeCode Available | 2 | 5 |
| A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection | Jul 7, 2023 | Anomaly DetectionImputation | CodeCode Available | 2 | 5 |
