Multiscale Time-Series Modeling

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8 papers in the last four weeks, up 167% on the four weeks before. 0.1% of all new papers.

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  1. HAN-Mamba: Hierarchical Selective State Space Networks for Multi-Scale Financial Volatility Forecasting

    Oct 7, 2026Mihai Bogdan Deaconu, Ioan Daniel PopTime Series ForecastingFinancial Time Series

    Faculty of Mathematics and Computer Science, Babeş-Bolyai University, Cluj-Napoca, Romania

  2. Matching of signal, noise and hardware timescales for filtering and forecasting of correlated noise signals

    Oct 7, 2026Joshua Donald, Alex Gabbitas, Arthur G. T. Coveney +2Reservoir ComputingTime Series Forecasting

    Department of Physics, Loughborough University, Loughborough, LE11 3TU, United Kingdom

  3. LogSig-SSM: Time-Series Modelling with Multi-Scale Log-Signature Compression for State-Space Models

    Oct 4, 2026Felix Oury, Nicolas Calvo Peiro, Reiko J. TanakaIrregular Time-Series ModelingMultivariate Time Series Forecasting

    Department of Computing Imperial College London · Department of Bioengineering Imperial College London

  4. Inferring Multi-Timescale Neural Dynamics with Switching Linear Dynamical Systems

    Oct 1, 2026Lulu Gong, Yongxu Zhang, Shreya SaxenaStochastic Linear Dynamical SystemsLatent Dynamics Modeling

    Center for Neurocomputation and Machine Intelligence, Wu Tsai Institute, Department of Biomedical Engineering, Yale University, New Haven, CT 06510, USA

  5. NeurDuo-EEG: A Long-Sequence EEG Foundation Model with Persistent State and Explicit Memory

    Sep 29, 2026Yifan Wang, Haiping Liu, Yang Cui +13Memory-Augmented Neural NetworksElectroencephalography

    University of Manchester · ETH Zürich · Shanghai Jiao Tong University +5

  6. No Scale Left Behind: Multi-Scale Autoencoder with Bi-directional Attention for Time Series Anomaly Detection

    Sep 29, 2026Jiaheng Guo, Haochen Zhang, Yu-Chao Huang +3Reconstruction-Based Anomaly DetectionAttention Mechanisms

    UNITES Lab, University of North Carolina at Chapel Hill

  7. Context-dependent time-series prediction via HyperReservoirs

    Sep 28, 2026Kohei Tsuchiyama, Takatomo Mihana, Ryoichi Horisaki +1Time Series ForecastingReservoir Computing

    Department of Information Physics and Computing, Graduate School of Information Science and Technology, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan

  8. Neuralized Multi-Wavelet Decomposition for Time Series Classification and Forecasting

    Sep 24, 2026Xiaohan Jiang, Jingyuan Wang, Jiahao Ji +3Time Series ClassificationFrequency-Domain Feature Learning

    School of Computer Science and Engineering, Beihang University, Beijing, China · School of Computer Science and Engineering and the School of Economics and Management, Beihang University, Beijing, China · School of Computer Science and Engineering, Beihang University, Beijing, China, and are also with the MOE Engineering Research Center of Advanced Computer Application Technology, Beihang University, China +1

  9. Multi-Term Fourier Graph Neural Network with Sample Relationship Learning for Enhanced Remaining Useful Life Prediction

    Sep 21, 2026Ya Song, Laurens Bliek, Yaoxin Wu +1Graph Neural NetworksRUL Estimation

    Information Systems, Department of Industrial Engineering & Innovation Sciences, Eindhoven University of Technology, Eindhoven, The Netherlands

  10. 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

    Urban AI Institute, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea · Department of Mathematical Science, KAIST, Daejeon, Republic of Korea · Department of Civil and Environmental Engineering, KAIST, Daejeon, Republic of Korea

  11. Frequency-aware forecasting for short-term typhoon gust prediction

    Aug 26, 2026Xuefei Wang, Tingyi Liu, Heng Zhang +2Frequency-Domain Feature LearningMultiscale Time-Series Modeling

    School of Artificial Intelligence, Hubei University, Wuhan, China. · School of Economics and Management, Wuhan University, Wuhan, China. · School of Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China. +1

  12. Systematic Evaluation of TabPFN-TS and Chronos-2 for Zero-Shot Heat Load Forecasting in District Heating Networks

    Aug 20, 2026Ben Spoek, Karim K. Ben Hicham, Kai Derzsi +3Zero-Shot Time Series ForecastingTime Series Forecasting

    Chair of Energy Efficient Buildings and Indoor Climate, RWTH Aachen University, Mathieustr. 10, 52074 Aachen, Germany · Process Systems Engineering, RWTH Aachen University, Forckenbeckstr. 51, 52074 Aachen, Germany

  13. AirFlow: Context Preserving and Multi-Rate State Modeling for Air Quality Forecasting

    Aug 10, 2026Fan Yang, Nan Chen, Yijie Dong +2Multivariate Time Series ForecastingAir Quality Prediction

    School of Software Technology, Zhejiang University Hangzhou, Zhejiang 310000, China

  14. FreSH: Frequency-Segmented Hierarchical Multi-Expert Framework for Multivariate Time Series Classification

    Aug 8, 2026Pingping Liu, Muyao Wang, Zijian Zhang +5Multivariate Time Series ClassificationTime Series Classification

    1Jilin University · 2Hong Kong Polytechnic University · 3Pengcheng Laboratory +1

  15. 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

    ISMLL, University of Hildesheim, VWFS Data Analytics Research Center (VWFS-DARC), Hildesheim, Germany

  16. A Cost-Effective Multimodal LLM Reasoning Framework for Question Answering over Irregular Clinical Time Series

    Jul 28, 2026Frank Nie, Ethan B Liu, Yuan Zhu +2Irregular Time-Series ModelingEfficient Multimodal Inference

    Shandong University China · University of Auckland New Zealand

  17. Adaptive Multi-Scale Forecasting and Gate-Localized Conformal Prediction for Multivariate Nonstationary Time Series

    Jul 25, 2026Ziling Ma, Junshu Jiang, Ángel López-Oriona +2Multivariate Time Series ForecastingConformal Prediction

    Statistics Department, Computer, Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology, Thuwal 23955-6900, Saudi Arabia · NeuroAI Laboratory, Computer, Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology, Thuwal 23955-6900, Saudi Arabia

  18. MSBraM: A Multi-scale Self-supervised Brain Foundation Model for Hierarchical EEG Dynamics Learning

    Jul 23, 2026Tao Zhou, Jing Han, Lingyu Shu +1ElectroencephalographySelf-Supervised Pre-Training

    Hunan University Changsha, China

  19. SPECTRA: State-Space Exogenous Context and Temporal-Frequency Resolution Architecture for Probabilistic Energy Forecasting

    Jul 22, 2026Hang Ye, Xinyan Jiang, Yuedong Shi +5Probabilistic ForecastingElectricity Load Forecasting

    Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201210, China · University of Chinese Academy of Sciences, Beijing 101408, China · School of Physical Science and Technology, Shanghaitech University, Shanghai 201210, China +2

  20. Lightweight Wrappers for Adapting Time Series Foundation Models to Regional Drought Forecasting

    Jul 20, 2026Wentao Gao, Jiuyong Li, Lin Liu +4Test-Time AdaptationTime Series Forecasting

    Adelaide University · Adelaide, Australia · CSIRO Technology +1

  21. Residual-Guided Multi-Resolution Refinement of Foundation Models: A Case Study in Drought Forecasting

    Jul 20, 2026Wentao Gao, Jiuyong Li, Lin Liu +4Time Series ForecastingClimate Modeling

    Adelaide University, Adelaide, SA, Australia · CSIRO Technology, Canberra, Australia · CSIRO Environment, Canberra, Australia

  22. HyBDM: Multi-Scale Hybrid Experts for Time Series Forecasting with Bidirectional Dependency Modeling

    Jul 18, 2026Wenqiang Ma, Chen Cheng, Xue Cheng +1Multivariate Time Series ForecastingMulti-Scale Feature Fusion

    Soul of Harlequin Lab

  23. Lightweight Multi-Scale Anomaly Detection for Resource-Constrained Edge Devices

    Jul 14, 2026Raheen Junaid Wani, Smruti R. SarangiAutoencodersEdge Inference

    School of Information Technology Indian Institute of Technology, Delhi New Delhi, India 110016 · Department of Computer Science Indian Institute of Technology, Delhi New Delhi, India 110016

  24. Multi-Scale Convolution with Optimal Transport Attention Effect on Multivariate Time Series

    Jul 12, 2026HaoChong Fu, Jian XuMultivariate Time Series ForecastingMulti-Scale Feature Fusion

    Institute of Collaborative Innovation · University of Macau · Macau, China +2

  25. RhyMix: A Lightweight Adaptive Multi-Rhythm Network for Long-Term Time Series Forecasting

    Jul 9, 2026Sumit Satishrao Shevtekar, Chandresh Kumar MauryaLong-Term Time Series ForecastingTime Series Forecasting

  26. Zeus: Towards Tuning-Free Foundation Model for Time Series Analysis

    Jul 2, 2026Yisong Fu, Zezhi Shao, Chengqing Yu +4Zero-Shot Time Series ForecastingMulti-Task Learning

    State Key Laboratory of AI Safety, Institute of Computing Technology, Chinese Academy of Sciences · University of Chinese Academy of Sciences · Xiamen Institute of Data Intelligence

  27. 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

    School of Mathematical Sciences, Guizhou Normal University, Guiyang 550025, China. · School of Big Data and Computer Science, Guizhou Normal University, Guiyang 550025, China.

  28. Speaking Numbers to LLMs: Multi-Wavelet Number Embeddings for Time Series Forecasting

    Jun 25, 2026Defu Cao, Zijie Lei, Muyan Weng +2Time Series ForecastingLLM-Based Time Series Forecasting

    University of Southern California · Meta · Google DeepMind

  29. RAVEN: A Regime-Aware Variable-context Expert Network for Financial Time Series Forecasting

    Jun 23, 2026Cheng He, Zhenyu Guan, Xijie Liang +6Financial ForecastingTime Series Forecasting

    University of Science and Technology of China, China · Shanghai Black Wing Asset Management Co., Ltd., China · College of Sciences, Shanghai University, China +2

  30. PaAno+: Multiscale Encoding and Cross-Variable Attention for Time Series Anomaly Detection

    Jun 18, 2026Youji Zhu, Hongbing Wang, Wenchao Liu +2Self-Supervised Time Series Representation LearningTime-Series Anomaly Detection

    School of Mathematical Sciences, Guizhou Normal University, Guiyang 550025, China. · School of Big Data and Computer Science, Guizhou Normal University, Guiyang 550025, China.