Long-Term Time Series Forecasting

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  1. AliO: Output Alignment Matters in Long-Term Time Series Forecasing

    Oct 8, 2026Kwangryeol Park, Jaeho Kim, Seulki LeeLong-Term Time Series ForecastingTime Series Forecasting

  2. Structure-Aware Graph Abstention for Reliable Selective Forecasting

    Oct 6, 2026Jianxiang Xie, Belal AlsinglawiMultivariate Time Series ForecastingLong-Term Time Series Forecasting

  3. Diffusion-Based Rollouts as a Stabilization Mechanism for Long-Horizon Environmental Forecasting

    Sep 27, 2026Marina Vicens-Miquel, Amy McGovern, Aaron J. Hill +2Precipitation ForecastingLong-Term Time Series Forecasting

  4. One Patch, Three Roles: What Is Actually Coupled in Autoregressive Time-Series Forecasting?

    Sep 20, 2026Ziang Li, Yue Huang, Guoxu Zhou +4Long-Term Time Series ForecastingTime Series Forecasting

  5. SETTer: Sparse-Encoder Transformer for Long-term Multivariate Time Series Forecasting

    Sep 17, 2026Abraham Ezema, Chijioke Eze, Ferdinanda Ponci +1Multivariate Time Series ForecastingLong-Term Time Series Forecasting

  6. OceanMoE: Structured Conditional Sparse Computation for Long-Horizon Multivariate Ocean Forecasting

    Sep 17, 2026Yishun Zhu, Jian WangMultivariate Time Series ForecastingLong-Term Time Series Forecasting

  7. HypLTSF: A Hyperbolic Geometric View of Multi-Scale Hierarchies for Long-Term Time Series Forecasting

    Sep 8, 2026Namwoo Kim, Hyungryul Baik, Yoonjin YoonLong-Term Time Series ForecastingHierarchical Representation Learning

  8. Long-Horizon Forecasting of Complete Financial Statements with Forma

    Aug 11, 2026Travis L. Johnson, Jiannan Jiang, Soumyabrata Chaudhuri +3Long-Term Time Series ForecastingFinancial Forecasting

  9. Two-stage Odd Residual Flows for Mean-Preserving Probabilistic Time Series Forecasting

    Aug 11, 2026Kiran Madhusudhanan, Christian Klötergens, Lars Schmidt-Thieme +1Long-Term Time Series ForecastingNormalizing Flows

  10. Efficient Test-Time Scaling for LLM-based Time Series Forecasting

    Aug 9, 2026Xuan-May Le, Minh-Tuan Tran, Ling Luo +3Long-Term Time Series ForecastingTime Series Forecasting

  11. Beyond Linear Dynamics: Neural Bilinear Dynamical Models for Time Series Forecasting

    Aug 5, 2026Mengzhou Gao, Huangqian Yu, Pengfei JiaoDynamical SystemsLong-Term Time Series Forecasting

  12. CAMP: A Cycle-Aware Multi-Scale Patch Mixer for Time Series Forecasting

    Aug 4, 2026Jung Min Choi, Vijaya Krishna yalavarthi, Lars Schmidt-ThiemeLong-Term Time Series ForecastingTime Series Forecasting

  13. TFGformer: Multivariate Time Series Forecasting via Time-Frequency Graph Learning and Covariate Fusion

    Jul 31, 2026Yu Sun, Yuan Chang, Xiaohou Shi +1Multivariate Time Series ForecastingLong-Term Time Series Forecasting

  14. Asymmetric Peak-Aware Loss for Peak-Critical Time Series Forecasting

    Jul 16, 2026Theivaprakasham Hari, Yanan Xin, Winnie Daamen +2Multivariate Time Series ForecastingLong-Term Time Series Forecasting

  15. A Comparative Analysis of Machine Learning Models for Long and Short-Term Forecasting of the Egyptian Stock Market: A Focus on EGX30

    Jul 15, 2026Muhammed Walid, Ahmed El-Naeimy, Hosam Moubarak +1Long-Term Time Series ForecastingRecurrent Neural Networks

  16. TSSM: Triaxial State Space Model for Global Station Weather Forecasting with Temporal-Variable-Historical Modeling

    Jul 14, 2026Songru Yang, Zili Liu, Tao Han +7Long-Term Time Series ForecastingState Space Models

  17. 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

  18. TA-SparseMG: Trend-Aware Sparse Forecasting via Multi-Scale Gating for Long-Term Time Series

    Jun 26, 2026Wenchao Liu, Hongbing Wang, Youji Zhu +2Long-Term Time Series ForecastingNon-Stationary Time Series Forecasting

  19. 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

  20. Learning the Koopman Operator using Attention Free Transformers

    Jun 22, 2026Mohammed Nagdi, Evangelos-Marios Nikolados, Alexey Yermakov +3Long-Term Time Series ForecastingKoopman Operator Learning

  21. Distribution-Aware Diffusion-LLM for Robust Ultra-Long-Term Time Series Forecasting

    Jun 22, 2026Falguni Ghosh, Vahid Hashemi, Bernhard KainzLong-Term Time Series ForecastingProbabilistic Forecasting

  22. 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