Time Series

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Period ending 2026-09-21

21 new papers

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  1. Multi-Rate Mixture of Experts for Accelerating Liquid Neural Network Training

    Jun 10, 2026Shilong Zong, Almuatazbellah Boker, Hoda EldardiryMultivariate Time Series ForecastingSpatial Attention

  2. Can News Predict the Market? Limits of Zero-Shot Financial NLP and the Role of Explainable AI

    Jun 10, 2026Ali M Karaoglu, Shreyank N GowdaFinancial Sentiment AnalysisZero-Shot Forecasting

  3. Efficient Time Series Clustering from Multiscale Reservoir Dynamics with Granular-Ball Anchoring Graph Optimization

    Jun 10, 2026Yifan Wang, Lifeng Shen, Shuyin Xia +1Granular-Ball ComputingImage Clustering

  4. Time-Series Foundation Model Embeddings for Remaining Useful Life Estimation

    Jun 10, 2026Amir El-Ghoussani, Michele De Vita, Ronald Naumann +1Time Series Foundation ModelsPredictive Maintenance

  5. An Empirical Study on Predictive Maintenance for Component X in Heavy-Duty Scania Trucks

    Jun 10, 2026Valeriu Dimidov, Sasan Jafarnejad, Raphaël FrankPredictive MaintenanceNaturalistic Driving Data

  6. WorldReasoner: Evaluating Whether Language Model Agents Forecast Events with Valid Reasoning

    Jun 10, 2026Yizhou Chi, Eric Chamoun, Zifeng Ding +1Load ForecastingCounterfactual Reasoning

  7. Representing Time Series as Structured Programs for LLM Reasoning

    Jun 10, 2026Jaeho Kim, Changhun Oh, Seokhyun Lee +2Time SeriesLarge Language Model Reasoning

  8. When to Trust, How to Distill: Multi-Foundation Model Guidance for Lightweight, Robust Scientific Time Series Forecasting

    Jun 10, 2026Rupasree Dey, Abdul Matin, Nathan Orwick +3Time Series Foundation ModelsWireless Foundation Models

  9. TimeRouter: Efficient and Adaptive Routing of Time-Series Foundation Models

    Jun 10, 2026Kanghui Ning, Yushan Jiang, Kashif Rasul +3Time Series Foundation ModelsAdaptive Routing

  10. APEX: A Network-Native Time-Series Foundation Model for Forecasting and Anomaly Detection for Wireless Edge Operations

    Jun 10, 2026Swadhin Pradhan, Niloo Bahadori, Peiman AminiTime Series Foundation ModelsHeterogeneous Edge Devices

  11. Bridging the sim2real gap in the table tennis robot with a transformer-based ball states predictor

    Jun 9, 2026Yin Bi, Christian Conti, Bilan Yang +3Table Tennis RobotZero-Shot Sim-To-Real Transfer

  12. Forecasting Future Behavior as a Learning Task

    Jun 9, 2026Mosh Levy, Yoav Goldberg, Asa Cooper SticklandReasoning TrajectoryLarge Reasoning Models

  13. Dynamic Execution Horizon Prediction for Chunk-based Robot Policies

    Jun 9, 2026Yuchi Zhao, Miroslav Bogdanovic, Arjun Sohal +5Long-Horizon PlanningRobot Policies

  14. When Do Autoregressive Sequence Models Forecast Physical Wavefields? A Controlled Study on Synthetic Seismograms

    Jun 9, 2026Waleed Esmail, Stuart Russell, Jana Klinge +2Long-Horizon ForecastingAutoregressive Model

  15. CITRAS-FM: Tiny Time Series Foundation Model for Covariate-Informed Zero-Shot Forecasting

    Jun 9, 2026Yosuke Yamaguchi, Issei Suemitsu, Yuki Kajihara +1Zero-Shot ForecastingTime Series Foundation Models

  16. One Step Closer to Ground Truth: A Multi-Scale Residual-Aware Representation Learning Pipeline for Predicting Time Series Data

    Jun 9, 2026Amrijit Biswas, Mustafa Kamal, Robin Krambroeckers +4Spatio-Temporal TransformersTime Series

  17. UPLOTS: A Unified Pretrained Language Model for Constrained Time-series Generation

    Jun 9, 2026Du Yin, Hao Xue, Jinliang Deng +4Synthetic Time Series

  18. LakeFM: Toward a Foundation Model for Aquatic Ecosystems Using Irregular Multivariate Multi-depth Time Series Data

    Jun 9, 2026Abhilash Neog, Sepideh Fatemi, Medha Sawhney +9Time SeriesFoundation Model

  19. Structured Adaptive Tensor Prediction for Streaming Data

    Jun 8, 2026Zhen Qin, Yang ChenTime SeriesTime-Varying Systems

  20. Zero Touch Predictive Orchestration: Automating Time-Series Models for the Cloud-Edge Continuum

    Jun 8, 2026Abd Elghani Meliani, Arora Sagar, Adlen Ksentini +1Edge ComputingTime Series

  21. Report the Floor: A Training-Free Conformal Interval Is a Mandatory Baseline for Probabilistic Time-Series Forecasting

    Jun 8, 2026Valery ManokhinMultivariate ForecastingConformal Prediction

  22. Does Normalization Choice Matter for Causal Large Time-Series Models?

    Jun 8, 2026Samy-Melwan Vilhes, Gilles Gasso, Mokhtar Z AlayaNormalizationTime Series

  23. TRIAGE: Dialectical Reasoning for Explainable Risk Prediction on Irregularly Sampled Medical Time Series with LLMs

    Jun 8, 2026Hyeongwon Jang, Gyouk Chu, Changhun Kim +3Clinical ReasoningTriage

  24. Stochastic weather generators for high-frequency wind vector time series

    Jun 8, 2026Mingshi Cui, Kevin Eng, Justin T. Greene +5Urban WindOffshore Wind Turbine

  25. Tyan-WP: A Wind Power Foundation Model for Ultra-Short-Term Probabilistic Forecasting

    Jun 7, 2026Jiahui Huang, Ao Luo, Lei Liu +6Energy ForecastingOffshore Wind Turbine

  26. Lost in the Non-convex Loss Landscape: How to Fine-tune the Large Time Series Model?

    Jun 7, 2026Xu Zhang, Peang Wang, Wei WangFinetuningTime Series

  27. GeoGNN: Time Series Geo-Localization using Two-Tower Graph Neural Networks

    Jun 6, 2026Toan Tran, Waqwoya Abebe, Abhishek Potnis +4Cross-View Geo-LocalizationImage Geolocalization

  28. Causal Semantic Alignment for LLM-based Time Series Forecasting

    Jun 6, 2026Kexuan Zhang, Xiaobei Zou, Cesare Alippi +2Zero-Shot ForecastingTime Series

  29. SPDM: Geometry-Modulated State Space Modeling with Manifold Constraints for Time Series Forecasting

    Jun 6, 2026Xingsheng Chen, Siu-Ming YiuState Space ModelsMultivariate Time Series Forecasting

  30. Mix, Don't Pick: Why Synthetic Corpus Composition Matters for Time Series Foundation Model Pretraining

    Jun 6, 2026Aaryan Nagpal, Debdeep Sanyal, Murari Mandal +2Time Series Foundation ModelsModel Pretraining

  31. Time series Foundation Models based on Physics-Informed Synthetic Histories for Cold-Start Photovoltaic Forecasting

    Jun 5, 2026Lorenzo Longarini, Alessandro Rongoni, Simone Silenzi +2Energy ForecastingTime Series Foundation Models

  32. GNSS-FM: A Self-Supervised Foundation Model for Daily GNSS Displacement Time Series

    Jun 5, 2026Nick Teutschmann, Laura Crocetti, Fanny Lehmann +2Global Navigation Satellite SystemTime Series Foundation Models

  33. Trio: Learning Time-Series Forecasting with Temporal-Spatial-Sample Attention and Structural Causal Priors

    Jun 5, 2026Tao Chen, Yexu Zhou, Zhi Gong +9Time SeriesTabular Prior-Data Fitted Network

  34. CF-JEPA: Mask-free forward prediction with asymmetric encoder utilization for time-series representation learning

    Jun 5, 2026Jaehoon Lee, Sunghyun SimJoint-Embedding Predictive ArchitecturesSphere-Jepa

  35. GlucoFM-Bench: Benchmarking Time-Series Foundation Models for Blood Glucose Forecasting

    Jun 5, 2026Baiying Lu, Zhaohui Liang, Ryan Pontius +2Continuous Glucose MonitoringTime Series Foundation Models

  36. Proper Scoring Rules for Right-Censored Survival Data

    Jun 4, 2026Jef Jonkers, Glenn Van Wallendael, Luc Duchateau +1Survival AnalysisScoring

  37. Attack Detection using Time Series Foundation Models

    Jun 4, 2026Sribalaji C. Anand, Anh Tung Nguyen, George J. PappasAttack DetectionTime Series Foundation Models

  38. PAMF: Prior-Aware Multimodal Fusion for Incomplete Time Series Data

    Jun 4, 2026Ziwen Kan, Wugeng Zheng, Tianlong Chen +1Missing ModalitiesImputation

  39. TRACE: A Temporal Conditional Estimation for Multimodal Time Series Foundation Models

    Jun 4, 2026Ziwen Kan, Yishuo Chen, Kecheng Li +7Multimodal Foundation ModelTime Series Foundation Models

  40. Design a Reliable LLM-Integrated Interface for Mortality Forecasting

    Jun 4, 2026Thi Kim Ngan NguyenMortalityActuarial Reasoning Tasks

  41. Diffusion Models for Adaptive Sequential Data Generation

    Jun 4, 2026Haoyang Cao, Minshuo Chen, Yinbin Han +1Synthetic Time SeriesDiscrete Diffusion Model

  42. TS-ICL: A Flexible Time-Indexed Foundation Model for Time Series via In-Context Learning

    Jun 4, 2026Etienne Le Naour, Tahar Nabil, Adrien PetraliaTime Series Foundation ModelsTime Series

  43. Zero-Copy Semantic Contagion: An In-Memory Streaming Architecture for Evolving Attention Graphs

    Jun 4, 2026Kabir MurjaniHeterogeneous Graph TransformersLlm-Based Forecasting Methods

  44. Towards Unified and Data-Efficient Prognostics and Health Management with Tabular Foundation Models

    Jun 3, 2026Raffael Theiler, Lev Telyatnikov, Leandro Von Krannichfeldt +1Predictive MaintenancePrognostics

  45. Harnessing Generalist Agents for Contextualized Time Series

    Jun 3, 2026Zihao Li, Kaifeng Jin, Yuanchen Bei +8Time SeriesTemporal Dynamics

  46. Mamba-Assisted Non-Markovian Closure for Reduced-Order Modeling

    Jun 3, 2026Zhi-Feng Wei, Saad Qadeer, Panos StinisReduced-Order ModelsMarkov

  47. GITCO: Gated Inference-Time Context Optimization in TSFMs

    Jun 3, 2026Manya Pandey, Dhruv Kumar, Murari Mandal +1Time Series Foundation ModelsZero-Shot Forecasting

  48. Generating Financial Time Series by Matching Random Convolutional Features

    Jun 3, 2026Konrad J. Mueller, Nikita Zozoulenko, Ben Wood +2Synthetic Time SeriesTime Series

  49. REGEN: Reference-Guided Synthetic Multivariate Time Series Generation for Forecasting

    Jun 3, 2026Moulik Gupta, Dhruv Kumar, Murari Mandal +1Synthetic Time SeriesMultivariate Time Series Forecasting

  50. Signed Dual Attention: Capturing Signed Dependencies in Time Series Forecasting

    Jun 3, 2026Balthazar Courvoisier, Tristan CazenaveTransformer AttentionTime Series

  51. ReSGA: A Large Tail Risk Model for Learning Value-at-Risk and Expected Shortfall

    Jun 3, 2026Yichi Zhang, Ke Zhu, Zhoufan ZhuConditional-Value-At-RiskLong-Tailed Distribution

  52. REGAIN: REconciliation GAIN-driven Auxiliary Direction Learning

    Jun 3, 2026Weijia Li, Shun Hu, Yanfei KangLoad Forecasting

  53. Expectations vs. Realities: The Cost of MSE-Optimal Forecasting Under Conditional Uncertainty

    Jun 3, 2026Riku Green, Zahraa S. Abdallah, Telmo M Silva FilhoPredictive UncertaintyMultivariate Forecasting

  54. ADAPTOOD: Uncertainty-Aware Fine-Tuning for Out-of-Distribution ECG Time Series Models

    Jun 2, 2026Sotirios Vavaroutas, Yu Yvonne Wu, Ali Etemad +1Out-Of-DistributionDistribution Shifts

  55. Stationarity-Aware Retrieval-Augmented Time Series Forecasting

    Jun 2, 2026Shiqiao Zhou, Holger Schöner, Zipeng Wu +3Time SeriesAutoregressive Model

  56. Explainable Forecasting of Scientific Breakthroughs from Concept Network Dynamics

    Jun 2, 2026Thomas Maillart, Thibaut Chataing, Ntorina Antoni +4Load ForecastingScientific Discovery

  57. AnchorMoE: Interpretable Time Series Classification via Anchor-Routed MoE

    Jun 2, 2026Tao Xie, Zexi Tan, Haoyi Xiao +5Time-Series ClassificationTime Series

  58. TSQAgent: Rating Time Series Data Quality via Dedicated Agentic Reasoning

    Jun 2, 2026Shunyu Wu, Dan Li, Haozheng Ye +6Data QualityAgentic Reasoning

  59. Combining Statistical Features and Deep Encodings for Rehearsal-Based Class-Incremental Time Series Classification

    Jun 2, 2026Pablo García-Santaclara, Bruno Fernández-Castro, Rebeca Pilar Díaz-RedondoTime-Series ClassificationDomain Incremental Learning

  60. FinStressTS: A Parametric Synthetic Benchmark for Time-Series Forecasting in Finance

    Jun 2, 2026Jiaze Sun, Kelvin J. L. Koa, Ruiyang Ni +3Multivariate ForecastingFinance Benchmarks