Time Series

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  1. How Good Can Linear Models Be for Time-Series Forecasting?

    Jun 25, 2026Lang Huang, Jinglue Xu, Luke DarlowMultivariate ForecastingTime Series

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

    Jun 25, 2026Ao Hu, Liangjian Wen, Jiang Duan +7Long-Horizon ForecastingLong-Range Temporal Dependencies

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

    Jun 25, 2026Defu Cao, Zijie Lei, Muyan Weng +2Multivariate ForecastingDiscrete Wavelet Transform

  4. Rethinking Training & Inference for Forecasting: Linking Winner-Take-All back to GMMs

    Jun 24, 2026Qiyuan Wu, Katie Z Luo, Bharath Hariharan +2Trajectory PredictionLlm-Based Forecasting Methods

  5. FDN: Interpretable Spatiotemporal Forecasting with Future Decomposition Networks

    Jun 23, 2026Nicholas Majeske, Ariful AzadSpatio-Temporal ForecastingLoad Forecasting

  6. From Forecasting Leaderboards to Deployment Decisions: A Fail-Closed Certification Protocol

    Jun 23, 2026Geumyoung KimLoad ForecastingLeaderboard

  7. Model selection with proper scoring rules on data sets of time series: prefer the mean scaled score

    Jun 23, 2026Giorgio Corani, Stefano Damato, Dario Azzimonti +1Model SelectionMultivariate Forecasting

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

    Jun 23, 2026Cheng He, Zhenyu Guan, Xijie Liang +6Multivariate ForecastingStochastic Volatility

  9. GRACE: Gated Refinement for Accurate Causal Edge Discovery in High-Dimensional Time Series

    Jun 22, 2026Mohammad Fesanghary, Abhinav HavaldarCausal Foundation ModelsTemporal Dependence

  10. Time Series Classification through Diffeomorphic Time Warping (DiffTW)

    Jun 22, 2026Vicky Geneva Haney, Kamel Lahouel, Victor Rielly +1Time-Series ClassificationTime Series

  11. Selective Time Series Forecasting via Metalearning

    Jun 22, 2026Ricardo Inácio, Vitor Cerqueira, Marília Barandas +1Multivariate ForecastingTime Series

  12. SkyJEPA: Learning Long-Horizon World Models for Zero-Shot Sim-to-Real Control of Quadrotors

    Jun 22, 2026Pratyaksh Rao, Wancong Zhang, Randall Balestriero +2Quadrotor ControlDynamics Models

  13. Beyond Time Series: Spatial Reasoning for Epidemic Forecasting via Multimodal Learning

    Jun 20, 2026Diana Guadalupe Gomez, Chenwei Wu, Zhiyi Wang +2Epidemic ForecastingSpatio-Temporal Forecasting

  14. From Recognition to Understanding: Unlocking Cognitive Time Series Reasoning with LLMs

    Jun 20, 2026Xin Qiu, Junlong Tong, Yao Zhang +3Large Language Model ReasoningTime Series

  15. Learning by Shifting: Temporal View Construction for Time Series Contrastive Learning

    Jun 20, 2026Abdul-Kazeem Shamba, Kerstin Bach, Gavin TaylorTime-Series ClassificationContrastive Learning

  16. RocketPFN: Accurate Time Series Classification via In-Context Learning

    Jun 19, 2026Franco Martino O'Rourke, Ana Trisovic, Dimitris BertsimasTime-Series ClassificationTime Series

  17. A Causal DAG Prior for Synthetic Time-Series Classification Datasets

    Jun 19, 2026Franco Martino O'Rourke, Ana Trisovic, Dimitris BertsimasTabular Prior-Data Fitted NetworkSynthetic Time Series

  18. Beyond the Next Step: Variable-Length Latent World Models for Long-Horizon Planning

    Jun 19, 2026Tianqi Du, Qi Zhang, Yifei Wang +1Latent World ModelsLong-Horizon Planning

  19. MedTS-TTT: Test-Time Training for Medical Time Series Classification

    Jun 19, 2026Mingzhi Chen, Yiyu Gui, Guibo LuoTime-Series ClassificationTraining Time

  20. Topological Data Analysis for High-Dimensional Dynamic Process Monitoring

    Jun 18, 2026Angan Mukherjee, Tyler A. Soderstrom, Michael J. Kurtz +1Topological Data AnalysisTime Series

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

    Jun 18, 2026Youji Zhu, Hongbing Wang, Wenchao Liu +2Time-Series Anomaly DetectionTime Series

  22. Self-Adaptive Scale Handling for Forecasting Time Series with Scale Heterogeneity

    Jun 18, 2026Xu Zhang, Zhengang Huang, Yunzhi Wu +6Time SeriesNeural Scaling Laws

  23. SL-S4Wave: Self-Supervised Learning of Physiological Waveforms with Structured State Space Models

    Jun 18, 2026Feng Wu, Harsh Deep, Eric Lehman +5Electrocardiogram ClassificationMultimodal Physiological Signals

  24. TelcoAgent: A Scalable 5G Multi-KPM Forecasting With 3GPP-Grounded Explainability

    Jun 18, 2026Geon Kim, Dara Ron, Sukhdeep Singh +5Mobile NetworksLlm-Based Forecasting Methods

  25. Understanding Key Features of Time Series Foundation Models from Epidemic Forecasting

    Jun 17, 2026Alireza Jafari, Judy Fox, Geoffrey C. Fox +2Time Series Foundation ModelsEpidemic Forecasting

  26. SCAN: Enhance Time Series Anomaly Detection via Multi-Scale Neighborhood-Centered Clustering

    Jun 17, 2026Xingze Zheng, Hanyin Cheng, Siyuan Wang +4Time-Series Anomaly DetectionAnomaly Score

  27. ROSA-TFormer: A Radar-Optical Sensor-Aware Temporal Transformer for Pinus sylvestris Plantation Classification in Northern Shaanxi Using GEE-Derived Sentinel-1/2 Time Series

    Jun 17, 2026Nengbo Zhang, Chang shengSentinel-2Spatio-Temporal Transformers

  28. Anomaly Detection for Sparse and Irregular Multivariate Time Series with Latent SDEs

    Jun 17, 2026Martin Uray, Dominik Geng, Florian Graf +2Time-Series Anomaly DetectionAnomaly Detection

  29. TimeLAVA: Learning-Agnostic Valuation for Time Series Data

    Jun 17, 2026Wenqin Liu, Weizhi Quan, Aoqi Zuo +5Time-Series Anomaly DetectionTime Series

  30. ForecastBench-Sim: A Simulated-World Forecasting Benchmark

    Jun 17, 2026Jaeho Lee, Nick Merrill, Ezra KargerLoad ForecastingArtificial Intelligence Benchmarks

  31. Toward Simultaneously Optimal Regret in U-Calibration

    Jun 16, 2026Rafael Frongillo, Haipeng Luo, Nishant A. Mehta +1Linear RegretRegret

  32. Do Time Series Foundation Model Benchmarks Hide Regime-Dependent Failures? Evidence from Traffic Speed Forecasting

    Jun 16, 2026Yingshuo Wang, Xian Sun, Lingdong Kong +4Time Series Foundation ModelsAccurate Traffic Forecasting

  33. ConTex: Reformulating Counterfactual Generation For Time Series Forecasting

    Jun 16, 2026Jan Voets, Hasan Tercan, Tobias Meisen +1Counterfactual ReasoningTime Series

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

    Jun 16, 2026Bin Wang, Heming Yang, Jinfang ShengMultivariate Time Series ForecastingAutocorrelations

  35. A Survey on Data-Driven Models for Soil Moisture Regression and Classification

    Jun 16, 2026Ilektra Tsimpidi, George Georgoulas, Vidya Sumathy +1Soil Moisture EstimationArtificial Intelligence Models

  36. ASTEROID: A Spatiotemporal Information Transformer for Forecasting Multi-Step Time Series of Molecular Dynamics

    Jun 16, 2026Kexin Wu, Luonan Chen, Renxiao WangMolecular DynamicsSpatio-Temporal Forecasting

  37. HAMON: Passive Optical Sequence Mixing for Long-Horizon Forecasting

    Jun 15, 2026Alper YıldırımLong-Horizon Forecasting

  38. Filtered Conformal Ellipsoids for Graph-Native Time Series

    Jun 15, 2026Yannick LimmerConformal PredictionParticle Filters

  39. RAID: Semantic Graph Diffusion for True Cold-Start and Cross-Lingual Forecasting

    Jun 15, 2026Arunkumar V, Manoranjan Gandhudi, Gangadharan G. R. +2Load ForecastingLatent Bridge Matching

  40. Can LLM Coding Agents Reason About Time Series?

    Jun 15, 2026Filip Rechtorík, Ondřej Dušek, Zdeněk KasnerLarge Language Model AgentsTime Series

  41. Simulation-Augmented Multi-Step Split Conformal Prediction for Aggregated Forecasts

    Jun 15, 2026Andro SabashviliConformal PredictionLoad Forecasting

  42. TimeVista: Exploring and Exploiting Vision-Language Models as Judges for Time Series Forecasting

    Jun 15, 2026Zhi Chen, Yuxuan Wang, Jialong Wu +5Multivariate ForecastingTime Series

  43. Phys-JEPA: Physics-Informed Latent World Models for Multivariate Time-Series Forecasting

    Jun 15, 2026Weizhi Nie, Weichao Liu, Honglin Guo +1Multivariate ForecastingMultivariate Time Series Forecasting

  44. Biarchetype analysis for univariate functional data. An application to macroeconomic financial time series

    Jun 14, 2026Aleix Alcacer, Rafael Benitez, Vicente J. Bolos +1Time SeriesPersonality

  45. Informative Missingness to Generate Irregular Clinical Time Series

    Jun 14, 2026Hadi Mehdizavareh, Gabriele Santangelo, Giovanna Nicora +4Missing DataSynthetic Time Series

  46. PHINN: Persistent Homology Inspired Neural Network for Rare-Event Time Series Generation

    Jun 13, 2026Emre Yusuf, Ren Takahashi, Jayabrata BhaduriSynthetic Time SeriesGenerative Models

  47. Quantum-classical hybrid models based on error correction for time series forecasting

    Jun 13, 2026Jonathan H. A. de Carvalho, Filipe C. de L. Duarte, Fernando M. de Paula Neto +1Hybrid Quantum Neural NetworksLoad Forecasting

  48. Towards a Unified Generative Model for Scarce Time Series with Domain Experts

    Jun 13, 2026Zihao Yao, Qi Zheng, Jiankai Zuo +1Synthetic Time SeriesGenerative Models

  49. Towards Verifiable Agentic Data Science: Solving Irregular TSQA Via Tool-Grounded Reasoning

    Jun 13, 2026Sanhorn Chen, Xiaoyang Chen, Boyu Liu +1Time SeriesTool

  50. Semantics-Enhanced Retrieval-Augmented Time Series Forecasting

    Jun 12, 2026Shiqiao Zhou, Zipeng Wu, Holger Schöner +3Time SeriesHistory

  51. A Comparative Study of Deep Learning Architectures for Multi-Horizon Behavioural Forecasting for Mobile Health

    Jun 12, 2026Pavlos Nicolaou, Kleanthis Malialis, Artemis Kontou +1Wearable DevicesDeep Learning

  52. Learning the Context of Errors: Black-Box Online Adaptation of Time Series Foundation Models

    Jun 12, 2026Xilin Dai, Yiding Liu, Hongjie Xia +4Time Series Foundation ModelsZero-Shot Forecasting

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

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

  54. Beyond Uniform Tokens: Adaptive Compression for Time Series Language Models

    Jun 11, 2026Jialin Gan, Xin Qiu, Guangzhe Chen +1Token CompressionTime Series Foundation Models

  55. Graphical Causal Reasoning for Root Cause Analysis in Cloud Networks

    Jun 11, 2026Fabien Chraim, Dominik Janzing, John EvansRoot Cause AnalysisCausal Graph

  56. CloudCons: A Comprehensive End-to-End Benchmark for Cloud Resource Consolidation

    Jun 11, 2026Xiaobin Zhang, Lefei Shen, Mouxiang Chen +6Time Series Foundation ModelsCloud

  57. Navigating the Safety-Fidelity Trade-off: Massive-Variate Time Series Forecasting for Power Systems via Probabilistic Scenarios

    Jun 11, 2026Kaijie Xu, Anqi Wang, Xilin DaiPower SystemsMultivariate Time Series Forecasting

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

    Jun 11, 2026Beinan Xu, Andy Song, Jiti Gao +1Llm-Based Forecasting MethodsLoad Forecasting

  59. Effects of Social Interactions in Self-Organising Railway Traffic Management

    Jun 11, 2026Fabio Oddi, Federico Naldini, Leo D'Amato +3Complex NetworksLong-Horizon Forecasting

  60. Using Explainability as a Training-Time Reliability Signal for Efficient ECG Classification

    Jun 10, 2026Veerendhra Kumar Dangeti, Xiao Gu, Ying Weng +1Electrocardiogram ClassificationTime-Series Classification