Multivariate Time Series Forecasting

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  1. TiRex-2: Generalizing TiRex to Multivariate Data and Streaming

    Jul 1, 2026Patrick Podest, Marco Pichler, Elias Bürger +7Multivariate Time Series ForecastingZero-Shot Time Series Forecasting

  2. StateFlow: Dual-State Recurrent Modeling for Long-Horizon Time Series Forecasting

    Jun 30, 2026Haroon Gharwi, Yue Dai, Kai ShuMultivariate Time Series ForecastingLong-Term Time Series Forecasting

  3. EVOTS: Evolutionary Transformer Search for Time Series Forecasting

    Jun 30, 2026AbdElRahman ElSaid, Damir PulatovMultivariate Time Series ForecastingNeural Architecture Search

  4. Adaptive Financial Transformer with Regime-Gated Attention for Stock Return Prediction

    Jun 28, 2026Dishan SarkarMultivariate Time Series ForecastingTime Series Forecasting

  5. Parameter Efficient Hybrid Transformer (PEHT) for Network Traffic Prediction via Dynamic Urban Congestion Integration

    Jun 26, 2026Abdolazim Rezaei, Mehdi Sookhak, Mahboobeh HaghparastMultivariate Time Series ForecastingTraffic Forecasting

  6. The Remittance Blueprint: Data-driven Intelligence for Sri Lanka

    Jun 26, 2026Dhinanjaya Fernando, Dinura Ginige, Kalana Lakshan +6Multivariate Time Series ForecastingTime Series Forecasting

  7. PMDformer: Patch-Mean Decoupling Information Transformer for Long-term Forecasting

    Jun 25, 2026Ao Hu, Liangjian Wen, Jiang Duan +7Multivariate Time Series ForecastingLong-Term Time Series Forecasting

  8. MVG-KAN: Multi-View Geo-Wind Guided KAN for PM2.5_{2.5} Forecasting

    Jun 23, 2026Cheng Huang, Muyao Guan, Jairus Yougui Railey +6Multivariate Time Series ForecastingAir Quality Prediction

  9. Interpretable Kolmogorov-Arnold Network with Feature-Isolated Temporal Attention Mechanism for Electricity Load Forecasting

    Jun 22, 2026Jinhao Li, Hao WangMultivariate Time Series ForecastingTime Series Forecasting

  10. Short-Term Electricity Demand Forecasting for New England Using a Hybrid Transformer-XGBoost Framework with Weather, Calendar, and COVID-19 Indicators

    Jun 18, 2026Reza Ghanavati, Behrooz MosallaeiMultivariate Time Series ForecastingConcept Drift

  11. Does Text Actually Help? Uncovering and Resolving Text Collapse in Multimodal Time Series Forecasting

    Jun 17, 2026Huu Hiep Nguyen, Minh Hoang Nguyen, Dung Nguyen +1Multivariate Time Series ForecastingTime Series Forecasting

  12. A Hybrid LSTM--Vision Transformer Architecture for Predicting HRRR Forecast Errors

    Jun 17, 2026David Aaron Evans, Jay C. Rothenberger, Kara J. Sulia +2Multivariate Time Series ForecastingRecurrent Transformers

  13. MetaboNet-Bench: A Multi-modal Benchmark for Glucose Forecasting in Type 1 Diabetes

    Jun 17, 2026Nathaniel Jeffries, Miriam Wolff, Sam Royston +5Multivariate Time Series ForecastingType 1 Diabetes

  14. Multiple cyclicity and Wavelet Decomposition with Channel Correlation for Long-term Time Series Forecasting

    Jun 16, 2026Bin Wang, Heming Yang, Jinfang ShengMultivariate Time Series ForecastingLong-Term Time Series Forecasting

  15. SpikF-GO: Spiking Fourier Graph Operators for Multivariate Time Series Forecasting

    Jun 11, 2026Jafar Bakhshaliyev, Niels LandwehrMultivariate Time Series ForecastingGraph Neural Networks

  16. Once-for-All: Scalable Simultaneous Forecasting via Equilibrium State Estimation

    Jun 11, 2026Beinan Xu, Andy Song, Jiti Gao +1Multivariate Time Series ForecastingTime Series Forecasting

  17. When to Trust, How to Distill: Multi-Foundation Model Guidance for Lightweight, Robust Scientific Time Series Forecasting

    Jun 10, 2026Rupasree Dey, Abdul Matin, Nathan Orwick +3Multivariate Time Series ForecastingTime Series Forecasting

  18. One Step Closer to Ground Truth: A Multi-Scale Residual-Aware Representation Learning Pipeline for Predicting Time Series Data

    Jun 9, 2026Amrijit Biswas, Mustafa Kamal, Robin Krambroeckers +4Multivariate Time Series ForecastingResidual Learning

  19. LakeFM: Toward a Foundation Model for Aquatic Ecosystems Using Irregular Multivariate Multi-depth Time Series Data

    Jun 9, 2026Abhilash Neog, Sepideh Fatemi, Medha Sawhney +9Irregular Time-Series ModelingMultivariate Time Series Forecasting

  20. SPDM: Geometry-Modulated State Space Modeling with Manifold Constraints for Time Series Forecasting

    Jun 6, 2026Xingsheng Chen, Siu-Ming YiuMultivariate Time Series ForecastingSelective SSMs

  21. Trio: Learning Time-Series Forecasting with Temporal-Spatial-Sample Attention and Structural Causal Priors

    Jun 5, 2026Tao Chen, Yexu Zhou, Zhi Gong +9Synthetic Data PretrainingMultivariate Time Series Forecasting

  22. CF-JEPA: Mask-free forward prediction with asymmetric encoder utilization for time-series representation learning

    Jun 5, 2026Jaehoon Lee, Sunghyun SimMultivariate Time Series ForecastingTime Series Classification

  23. REGEN: Reference-Guided Synthetic Multivariate Time Series Generation for Forecasting

    Jun 3, 2026Moulik Gupta, Dhruv Kumar, Murari Mandal +1Multivariate Time Series ForecastingTime Series Generation