Explainable Time Series Forecasting

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6 papers in the last four weeks, against 1 the four weeks before. 0.1% of all new papers.

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  1. When Attention Does Not Explain the Peak: Temporal Reference vs. Forecast Output in Attention-Based Time-Series Forecasting

    Oct 5, 2026Yuji Akamatsu, Takao YamanakaExplainable Time Series ForecastingCross-Attention

    Sophia University Tokyo, Japan

  2. Predicting Delayed Train Trajectories on the Dutch Railway Network: Explainable AI Evaluation of Topological, Operational and Weather Features with Tree Based Ensemble Methods

    Sep 28, 2026Jia Long Bao, Ali Mohammed Mansoor Alsahag, Seyed Sahand Mohammadi ZiabariExplainable Time Series ForecastingTime Series Forecasting

  3. Dynamical Parameters: An Interpretability Framework for Time-Series Foundation Models

    Sep 28, 2026Kang Yang, Gaofeng Dong, Liying Han +1Explainable Time Series ForecastingRepresentation Probing

    Department of Electrical and Computer Engineering University of California, Los Angeles

  4. T-MoXAI: A Hierarchical Explainability Framework for Temporal Multimodal Data

    Sep 27, 2026Ali Inha, Mo Vali, Saaliha Vali +2Explainable Time Series ForecastingMultimodal Model Interpretability

    Department of Computer Science, University of Cambridge, Cambridge, UK · Cavendish Laboratory, Department of Physics, University of Cambridge, Cambridge, UK · Imperial College Healthcare NHS Trust, London, UK +1

  5. TAC-Time: Texts as Channels For Multimodal Time Series Forecasting

    Sep 21, 2026Jiayi Liang, Xiaotian Gu, Xinyu Xie +2Multivariate Time Series ForecastingExplainable Time Series Forecasting

    East China Normal University Shanghai, China

  6. 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

    Institute for Automation of Complex Power Systems, RWTH Aachen University, 52064 Aachen, Germany · RWTH Aachen University, 52064 Aachen, Germany · institute for Monitoring and Distributed Control for Power Systems Teaching and Research Area, RWTH Aachen University, 52064 Aachen, Germany +1

  7. Explaining Time Series Forecasting with Horizon-Resolved Attribution

    Sep 14, 2026Seunghan Lee, Jun Seo, Jaehoon Lee +9Explainable Time Series ForecastingFeature Attribution

    LG AI Research

  8. REATS: LLM Reasoning-based Ensemble Learning for Adaptive Time Series Forecasting

    Aug 10, 2026Xu Zhang, Chang Xu, Hui Sun +5RL for Language ModelsExplainable Time Series Forecasting

    Fudan University Shanghai, China · Microsoft Research Beijing, China · Jilin University Jilin, China

  9. Traceable Multi-Agent System for Knowledge-Based Forecasting

    Aug 4, 2026Junhyeok Kang, Sangjun Han, Hyeokjun Choe +1Explainable Time Series ForecastingMulti-Agent Orchestration

    LG AI Research · Seoul, Republic of Korea

  10. ReasonCast: Towards Explainable Time Series Forecasting with Reasoning

    Aug 3, 2026Seunghan Lee, Jun Seo, Jaehoon Lee +9Explainable Time Series ForecastingTime Series Reasoning

    LG AI Research

  11. Information Bottleneck Learning for Faithful Time Series Forecasting Explanations

    Jul 30, 2026Xu Zheng, Wei Cheng, Zhuomin Chen +3Multivariate Time Series ForecastingExplainable Time Series Forecasting

    Florida International University, Miami, FL, USA · NEC Laboratories America, Princeton, NJ, USA · University of Houston, Houston, TX, USA +1

  12. Autorelevance function and other feature relevance measures for univariate time series

    Jul 2, 2026Julian Cardenas, Jamie Arjona, Pedro DelicadoExplainable Time Series ForecastingFeature Attribution

    Departament d’Estad´ıstica i Investigaci´o Operativa, Universitat Polit`ecnica de Catalunya - BarcelonaTech, C/ Jordi Girona 1-3, Barcelona, 08034, Catalunya, Spain.

  13. Global Explanations for Multivariate Time Series Forecasting Models via KK-Order Markov Approximations

    Jun 25, 2026Amadeo TunyiMultivariate Time Series ForecastingSurrogate Modeling

    XITASO GmbH Austraße 35, 86153 Augsburg, Germany

  14. FDN: Interpretable Spatiotemporal Forecasting with Future Decomposition Networks

    Jun 23, 2026Nicholas Majeske, Ariful AzadExplainable Time Series ForecastingTime Series Forecasting

    Department of Intelligent Systems Engineering, Indiana University Bloomington, USA · Department of Computer Science and Engineering, Texas A&M University, USA

  15. ConTex: Reformulating Counterfactual Generation For Time Series Forecasting

    Jun 16, 2026Jan Voets, Hasan Tercan, Tobias Meisen +1Explainable Time Series ForecastingCounterfactual Explanations

    Institute for Technologies and Management of Digital Transformation University of Wuppertal

  16. Peak-Detector: Explainable Peak Detection via Instruction-Tuned Large Language Models in Physiological Sign

    May 15, 2026Jiahui Li, Yida Zhang, Zixuan Zeng +10Explainable Time Series Forecasting

    University of Georgia, Athens, Georgia, USA · Yixing People’s Hospital, Yixing, Jiangsu Province, China · University of Washington, Seattle, Washington, USA +1

  17. Temporal Functional Circuits: From Spline Plots to Faithful Explanations in KAN Forecasting

    May 7, 2026Naveen MysoreExplainable Time Series ForecastingExplainable Artificial Intelligence

    University of California, Santa Barbara

  18. Explainable Load Forecasting with Covariate-Informed Time Series Foundation Models

    Apr 30, 2026Matthias Hertel, Alexandra Nikoltchovska, Sebastian Pütz +3Explainable Time Series ForecastingTime Series Forecasting

    Karlsruhe Institute of Technology, Karlsruhe, Germany

  19. DecompKAN: Decomposed Patch-KAN for Long-Term Time Series Forecasting

    Apr 27, 2026Naveen MysoreLong-Term Time Series ForecastingExplainable Time Series Forecasting

  20. 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

  21. Auditable Context-Aware HFMD Forecasting with Structured LLM Agents

    Nov 28, 2025Joongwon Chae, Runming Wang, Chen Xiong +5Epidemic ForecastingExplainable Time Series Forecasting

    Institute of Biomedicine and Health Engineering, Tsinghua Shenzhen International Graduate School (SIGS), Tsinghua University, Shenzhen, China · The First Hospital of Hebei Medical University, Shijiazhuang, China · The Fifth Affiliated Hospital of Wenzhou Medical University, Lishui 323000, China +1

  22. Surrogate Modeling for Explainable Predictive Time Series Corrections

    Dec 27, 2024Alfredo Lopez, Florian SobieczkySurrogate ModelingExplainable Time Series Forecasting

    Software Competence Center Hagenberg, Hagenberg, Austria.