| Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Series Forecasting | Feb 2, 2023 | DecoderMultivariate Time Series Forecasting | CodeCode Available | 2 | 5 |
| Multivariate Probabilistic Time Series Forecasting via Conditioned Normalizing Flows | Feb 14, 2020 | Decision MakingMultivariate Time Series Forecasting | CodeCode Available | 2 | 5 |
| MSGNet: Learning Multi-Scale Inter-Series Correlations for Multivariate Time Series Forecasting | Dec 31, 2023 | Multivariate Time Series ForecastingTime Series | CodeCode Available | 2 | 5 |
| DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks | Apr 13, 2017 | Multivariate Time Series ForecastingProbabilistic Time Series Forecasting | CodeCode Available | 2 | 5 |
| Autoregressive Denoising Diffusion Models for Multivariate Probabilistic Time Series Forecasting | Jan 28, 2021 | Multivariate Time Series ForecastingProbabilistic Time Series Forecasting | CodeCode Available | 2 | 5 |
| LibCity: An Open Library for Traffic Prediction | Nov 4, 2021 | Multivariate Time Series ForecastingPrediction | 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 |
| FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective | Nov 10, 2023 | Graph Neural NetworkMultivariate Time Series Forecasting | CodeCode Available | 2 | 5 |
| Spatial-Temporal Identity: A Simple yet Effective Baseline for Multivariate Time Series Forecasting | Aug 10, 2022 | Multivariate Time Series ForecastingTime Series | CodeCode Available | 2 | 5 |
| 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 | 5 |
