| GinAR: An End-To-End Multivariate Time Series Forecasting Model Suitable for Variable Missing | May 18, 2024 | Multivariate Time Series ForecastingTime Series | CodeCode Available | 2 |
| CALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-Tuning | Mar 12, 2024 | Knowledge DistillationMultivariate Time Series Forecasting | CodeCode Available | 2 |
| Revitalizing Multivariate Time Series Forecasting: Learnable Decomposition with Inter-Series Dependencies and Intra-Series Variations Modeling | Feb 20, 2024 | Multivariate Time Series ForecastingTime Series | 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 |
| MSGNet: Learning Multi-Scale Inter-Series Correlations for Multivariate Time Series Forecasting | Dec 31, 2023 | Multivariate Time Series ForecastingTime Series | CodeCode Available | 2 |
| FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective | Nov 10, 2023 | Graph Neural NetworkMultivariate Time Series Forecasting | CodeCode Available | 2 |
| TSMixer: Lightweight MLP-Mixer Model for Multivariate Time Series Forecasting | Jun 14, 2023 | Multivariate Time Series ForecastingRepresentation Learning | CodeCode Available | 2 |
| MTS-Mixers: Multivariate Time Series Forecasting via Factorized Temporal and Channel Mixing | Feb 9, 2023 | Multivariate Time Series ForecastingTime Series | CodeCode Available | 2 |
| Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Series Forecasting | Feb 2, 2023 | DecoderMultivariate Time Series Forecasting | CodeCode Available | 2 |
| End-to-End Modeling Hierarchical Time Series Using Autoregressive Transformer and Conditional Normalizing Flow based Reconciliation | Dec 28, 2022 | Multivariate Time Series ForecastingTime Series | CodeCode Available | 2 |