Non-Stationary Time Series Forecasting

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4 papers in the last four weeks, up 33% on the four weeks before. 0.0% of all new papers.

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  1. Adaptive Oscillatory-State Alignment for Time Series Forecasting

    Jun 4, 2026Zhangyao Song, Chaofeng Qu, Chao Zha +3Long-Term Time Series ForecastingTime Series Forecasting

    School of Cyber Science and Engineering, Southeast University, Nanjing, China · State Key Laboratory of Blockchain and Data Security, Zhejiang University, Hangzhou, China · School of Information Science and Engineering, Southeast University, Nanjing, China

  2. EpiEvolve: Self-Evolving Agents for Streaming Pandemic Forecasting under Regime Shifts

    Jun 3, 2026Yiming Lu, Sihang Zeng, Zhengxu Tang +3Epidemic ForecastingTime Series Forecasting

    Emory University · University of Washington

  3. AdaKoop: Efficient Modeling of Nonlinear Dynamics from Nonstationary Data Streams with Koopman Operator Regression

    Jun 3, 2026Naoki Chihara, Ren Fujiwara, Yasuko Matsubara +1Koopman Operator LearningNonlinear System Identification

    SANKEN, The University of Osaka Osaka, Japan

  4. Stationarity-Aware Retrieval-Augmented Time Series Forecasting

    Jun 2, 2026Shiqiao Zhou, Holger Schöner, Zipeng Wu +3Time Series ForecastingNon-Stationary Time Series Forecasting

    University of Birmingham Birmingham, United Kingdom · Siemens AG Munich, Germany

  5. FreqLite: A Lightweight Frequency-Decomposed Linear Model with Adaptive Reversible Normalization for Robust Long-Term Time-Series Forecasting

    May 31, 2026Mirza Samad Ahmed Baig, Syeda Anshrah GillaniLong-Term Time Series ForecastingFrequency-Domain Feature Learning

    Fandaqah, Al Khobar, Saudi Arabia · Hamdard University, Karachi, Pakistan

  6. STaT: Resolving Shape Distortion in Non-Stationary Time Series via Tri-Modal Synergy

    May 25, 2026Hui Cheng, Jinsheng Guo, Zhenhao Weng +2Non-Stationary Time Series ForecastingMultimodal Fusion

    Hefei University of Technology Hefei, China

  7. Modeling Dynamic Mixtures of Time-Delay Systems from Streaming Time Series

    May 25, 2026Ren Fujiwara, Yasuko Matsubara, Yasushi SakuraiDynamical SystemsOnline System Identification

    SANKEN, The University of Osaka, Japan

  8. Parametric Prior Mapping Framework for Non-stationary Probabilistic Time Series Forecasting

    May 22, 2026Jinglin Li, Jun Tan, QI Fang +1Multivariate Time Series ForecastingNon-Stationary Time Series Forecasting

    School of Computer Science and Engineering, Central South University, Changsha, China.

  9. Dynamic TMoE: A Drift-Aware Dynamic Mixture of Experts Framework for Non-Stationary Time Series Forecasting

    May 20, 2026Jiawen Zhu, Shuhan Liu, Di Weng +1Concept DriftMixture of Experts

    School of Software Technology, Zhejiang University, Ningbo, China · State Key Lab of CAD&CG, Zhejiang University, Hangzhou, China

  10. Deep Learning Surrogates for Emulating Stochastic Climate Tipping Dynamics

    May 20, 2026Adeline Hillier, Jennifer Sleeman, Jay Brett +3Neural Surrogate ModelingMultivariate Time Series Forecasting

    Johns Hopkins Applied Physics Laboratory Hopkins University · Johns

  11. DeRegiME: Deep Regime Mixtures for Probabilistic Forecasting under Distribution Shift

    May 19, 2026Kieran Wood, Stefan Zohren, Stephen J. RobertsDistribution Shift RobustnessTime Series Forecasting

    Machine Learning Research Group, University of Oxford · Oxford-Man Institute, University of Oxford

  12. L-Drive: Beyond a Single Mapping-Latent Context Drives Time Series Forecasting

    May 18, 2026Fan Zhang, Shijun Chen, Hua WangMultivariate Time Series ForecastingLatent Dynamics Modeling

    Shandong Technology and Business University, Yantai, Shandong, China · Ludong University, Yantai, Shandong, China

  13. Mechanism Learning: Prototype-Anchored Mechanism Inference for Scientific Forecasting

    May 16, 2026Qian Jiang, Liping SunPrototype-Based LearningNon-Stationary Time Series Forecasting

    School of Computing · The Australian National University · Canberra, ACT 2601, Australia +3

  14. PULSE: Generative Phase Evolution for Non-Stationary Time Series Forecasting

    May 16, 2026Yangyou Liu, Zezhi Shao, Xinyu Chen +3OOD GeneralizationTime Series Generation

    College of Computer Science, Sichuan University, Chengdu, China · Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China · Institute of Artificial Intelligence, University of Central Florida, Orlando, USA +1

  15. Nested Spatio-Temporal Time Series Forecasting

    May 15, 2026Yinghao Ai, Yukai Zhou, Ruoxi Jiang +8Non-Stationary Time Series ForecastingSpatiotemporal Forecasting

    National Key Laboratory for Novel Software Technology, Nanjing University, China · Shanghai Academy of AI for Science, Shanghai · Department of Computer Science and Technology, Nanjing University +3

  16. SeesawNet: Towards Non-stationary Time Series Forecasting with Balanced Modeling of Common and Specific Dependencies

    May 14, 2026Hao Li, Lu Zhang, Liu Chong +3Multivariate Time Series ForecastingNon-Stationary Time Series Forecasting

    1Sichuan University · 2Chengdu University of Information Technology · 3McGill University +1

  17. ECTO: Exogenous-Conditioned Temporal Operator for Ultra-Short-Term Wind Power Forecasting

    May 12, 2026Cao Yuan, Junjun WangTime Series ForecastingNon-Stationary Time Series Forecasting

    Wuhan Polytechnic University, Wuhan, 430048, Hubei, China

  18. LeapTS: Rethinking Time Series Forecasting as Adaptive Multi-Horizon Scheduling

    May 11, 2026Sheng Pan, Ming Jin, Bo Du +1Neural Controlled Differential EquationsTime Series Forecasting

    Griffith University

  19. Yield Curve Forecasting using Machine Learning and Econometrics: A Comparative Analysis

    May 11, 2026Aman Singh, Tokunbo Ogunfunmi, Sanjiv DasQuantitative FinanceTime Series Forecasting

    Department of Electrical and Computer Engineering, Santa Clara University, USA · School of Business, Santa Clara University, USA

  20. STEPS: A Temporal Smooth Error Propagation Solver on the Manifolds for Test-Time Adaptation in Time Series Forecasting

    May 8, 2026Jiaqi Liu, Yifan Ouyang, Zhifei Song +2Source-Free Domain AdaptationTest-Time Adaptation

    School of Artificial Intelligence and Robotics, Xiamen University Malaysia · S.M.A.R.T. NEXUS Centre of Excellence, Xiamen University Malaysia Sepang, Selangor 43900, Malaysia

  21. Hedging Memory Horizons for Non-Stationary Prediction via Online Aggregation

    May 7, 2026Yutong Wang, Yannig Goude, Qiwei YaoEnsemble LearningTime Series Forecasting

    Department of Statistics, LSE · Électricité de France R&D

  22. Perceive, Route and Modulate: Dynamic Pattern Recalibration for Time Series Forecasting

    May 7, 2026Siru Zhong, Zhao Meng, Haohuan Fu +3Dynamic Neural NetworksTime Series Forecasting

    The Hong Kong University of Science and Technology (Guangzhou) · Tsinghua University · Squirrel Ai Learning

  23. PAMod: Modeling Cyclical Shifts via Phase-Amplitude Modulation for Non-stationary Time Series Forecasting

    May 1, 2026Yingbo Zhou, Yutong Ye, Shuhao Li +5Distribution ShiftTime Series Forecasting

    Fudan University · Beihang University · Beijing University of Posts and Telecommunications

  24. Electricity price forecasting across Norway's five bidding zones in the post-crisis era

    Apr 29, 2026My Thi Diem Phan, Trung Tuyen Truong, Hoai Phuong Ha +1Electricity Price ForecastingTime Series Forecasting

    Independent researcher · Department of Mathematics, University of Oslo · Department of Computer Science, The Arctic University of Norway +1

  25. Liquid Neural Network Models for Natural Gas Spot Price Time-Series Forecasting

    Apr 24, 2026Yiqian Liu, Jiayi Niu, Adam Kelleher +1Liquid Neural NetworksTime Series Forecasting

    Department of Data Science, Columbia University New York, NY, USA

  26. CAARL: In-Context Learning for Interpretable Co-Evolving Time Series Forecasting

    Apr 20, 2026Etienne Tajeuna, Patrick Asante Owusu, Armelle Brun +1Explainable Time Series ForecastingTime Series Forecasting

  27. In-Context Learning Under Regime Change

    Apr 18, 2026Carson Dudley, Yutong Bi, Xiaofeng Liu +1TransformerDistribution Shift Detection

    Department of Mathematics, University of Michigan · Department of Electrical Engineering and Computer Science, University of Michigan · Michigan Institute for AI and Data in Society, University of Michigan

  28. TimeRFT: Stimulating Generalizable Time Series Forecasting for TSFMs via Reinforcement Finetuning

    Apr 18, 2026Siyang Li, Yize Chen, Zijie Zhu +4Time Series ForecastingOOD Generalization

    HKUST(GZ) Guangzhou, China · University of Alberta Edmonton, Canada · Alibaba Cloud Guangzhou, China +3

  29. TriTS: Time Series Forecasting from a Multimodal Perspective

    Apr 17, 2026Xiang AoLong-Term Time Series ForecastingCross-Modal Representation Learning

    School of Software Engineering, Beijing Jiaotong University Beijing 100044, China

  30. How (Not) to Hybridize Neural and Mechanistic Models for Epidemiological Forecasting

    Feb 6, 2026Yiqi Su, Ray Lee, Jiaming Cui +1Epidemic ForecastingNon-Stationary Time Series Forecasting

    Department of Computer Science, Virginia Tech, Alexandria, USA.