Time Series

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Period ending 2026-09-21

21 new papers

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  1. Target alignment, dilution and forecast selection when cross-sectional forecasts share a common target

    Sep 22, 2026Masoud SoleimaniLoad Forecasting

  2. Overlay_dx - Automating forecasting evaluation

    Sep 21, 2026Long Ngo, Mohammed Amine Chamli, Jonathan Rivalan +1Multivariate ForecastingEvaluation Metrics

  3. Horizon-Aware Early Event Prediction for Tokamak Disruption Alarms

    Sep 21, 2026Takeshi Koshizuka, Takaharu YaguchiEarly Failure PredictionLong-Horizon Forecasting

  4. MUSE: Dependency-Aware Adaptation of a Frozen Vision Backbone for Multivariate Time Series Forecasting

    Sep 21, 2026Xinying Cai, Junkai Lu, Yuhan Zhu +3Multivariate Time Series Forecasting

  5. Pharmacokinetic State Space Models for Unbiased Prediction of Haemodynamic Collapse

    Sep 21, 2026Rithin Nagaraj, Sudiksha Chindula, Bhaskarjyoti DasLong-Horizon Forecasting

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

    Sep 21, 2026Jiayi Liang, Xiaotian Gu, Xinyu Xie +2Multivariate Time Series ForecastingTemporal Deep Learning Framework

  7. ShapeLex: Decoupling Local Shape Symbolization and Global Scale Modeling for Text-Controlled Time Series Generation

    Sep 21, 2026Subo Wei, Jianqi Gao, Mingyan Fan +3Synthetic Time Series

  8. TEMPER: Temporal Encoder-Masked Probabilistic Ensemble Regressor for Time-Series Forecasting

    Sep 20, 2026Giancarlo VercellinoMultivariate Forecasting

  9. ITSY: Causal Discovery From Irregular Time-Series Data

    Sep 20, 2026Wenbo Xu, Yue He, Yunhai Wang +2Causal Foundation ModelsTime Series

  10. A Hybrid Attention Model Learning Unified Time-aware Patch Representation for Irregular Multivariate Time Series Forecasting

    Sep 19, 2026Zhihao Lin, Li Lin, Qi Zhang +3Time Series Foundation ModelsSpatio-Temporal Transformers

  11. Recursive Quantum Long Short-Term Memory for Stable Short-Horizon Temperature Forecasting

    Sep 17, 2026Mu-En Lee, Yen-Ku Liu, Samuel Yen-Chi Chen +1Hybrid Quantum Neural NetworksBidirectional Long Short-Term Memory

  12. QUALS: Corpus Equilibrium for Universal Forecasting via Pattern Quantization and Learnability Synchronization

    Sep 17, 2026Yujie Li, Zezhi Shao, Chengqing Yu +7Zero-Shot ForecastingModel Pretraining

  13. SETTer: Sparse-Encoder Transformer for Long-term Multivariate Time Series Forecasting

    Sep 17, 2026Abraham Ezema, Chijioke Eze, Ferdinanda Ponci +1Multivariate Time Series ForecastingTransformer Architectures

  14. CoRe: Coherence and Relational Alignment for Multivariate Time Series Forecasting

    Sep 17, 2026Xiaoyu Lin, Huiran Duan, Yining Liu +3Multivariate Time Series ForecastingMultivariate Forecasting

  15. Principled Koopman Representations with Kalman Inference for Efficient Time-Series Prediction

    Sep 15, 2026Ruiquan Li, Yuheng BuKoopman OperatorState Space Models

  16. SPEAR NeXT Causal Latent Forecasting Across Multiple Horizons for Spectral Temporal Earth Representation Learning

    Sep 15, 2026Rajiv Ranjan, Udaiveer Singh, Shashank Tamaskar +1Time Series Foundation ModelsLatent Bridge Matching

  17. SOTER: A Generative Time-Series Foundation Model for Wearable Human Physiological Signals

    Sep 15, 2026Fangke Chen, Sirry Chen, Wei Chen +1Remote Physiological MeasurementTime Series Foundation Models

  18. Stable by Construction: Variational Latent Markov Operators for Long-Horizon PDE Prediction

    Sep 15, 2026Junyi Liao, Johann Guilleminot, Vahid TarokhLong-Horizon ForecastingNeural Partial Differential Equation Solvers

  19. How Good Are Time-Series Foundation Models for Pedestrian Crowd Count Forecasting? A Cross-Dataset Comparative Study

    Sep 14, 2026Theivaprakasham Hari, Ziteng Li, Yanan Xin +2Pedestrian Trajectory PredictionTime Series Foundation Models

  20. LLMs as Master Forgers: Generating Synthetic Time Series Data for Manufacturing

    Sep 14, 2026Mantek Singh, Jeshwanth Challagundla, Prateek Karnal +3Synthetic Time SeriesManufacturing

  21. LongAgent: History-Guided Agentic Search for Longitudinal Outcome Prediction

    Sep 14, 2026Siyao Wang, Florian Guitton, Shuojie Fu +3Long-Horizon ForecastingLong-Horizon Agents

  22. Distilling Foundation Models for Agentic What-If Reasoning:Cost, Latency, and Governance in a Hybrid LLM+SLM Architecture

    Sep 14, 2026Sourish Dey, Aditya KumarTabular Foundation ModelsAgentic Reasoning

  23. CodeTS: Verifiable Text-to-Time Series Generation via Executable Code

    Sep 14, 2026Xudong Yuan, Shunyu Liu, Tongya Zheng +3Synthetic Time SeriesText Generation

  24. Multi-source Transfer Learning of Time Series with a Shapelet-based Distance Measure

    Sep 14, 2026Jiseok Lee, Brian Kenji IwanaTransfer LearningTime-Series Classification

  25. Beyond Numerical Time Series: A Unified Benchmark for Multimodal Forecasting with Heterogeneous Context

    Sep 14, 2026Peng Chen, Zhihao Zhuang, Hongzhou Chen +6Time Series Foundation ModelsMultimodal Benchmarks

  26. A Hybrid LSTM-XGBoost Framework for Multi-Horizon Stock Return Prediction Across Diversified Equity Portfolios

    Sep 14, 2026Seif ElDein Mostafa, Yahia Ahmed, Farah Datwish +1Long-Horizon ForecastingBidirectional Long Short-Term Memory

  27. Explaining Time Series Forecasting with Horizon-Resolved Attribution

    Sep 14, 2026Seunghan Lee, Jun Seo, Jaehoon Lee +9Multivariate ForecastingTime Series

  28. Observation-Anchored Selective Assimilation for Longitudinal Tumor-State Proxy Forecasting in Post-Treatment Glioma

    Sep 14, 2026Yeonjae Jung, Minwoo ShinGliomaPrognostics

  29. Large Distant Gradients Need Not Be Reliable: reliability-weighted credit assignment for long-horizon autoregressive forecasting

    Sep 14, 2026Junhao Zhao, David Michael Simberg, Jacob Kang +2Long-Horizon ForecastingAutoregressive Model

  30. Competence-Gated Pooling of Language Models and Priors for Event Forecasting

    Sep 14, 2026Aditi Tiwari, Aashrith Bandaru, Heng JiLoad ForecastingCompetency Questions

  31. VertiFuseX: Generalizable Financial Forecasting via Multi-Stream Temporal Fusion

    Sep 14, 2026Aashish Bohra, Vivek VijayMultivariate ForecastingBidirectional Long Short-Term Memory

  32. Making Alternative Data Work: Context-Augmented LLMs for Financial Forecasting

    Sep 12, 2026Jihoon Kwon, Lawrence Liu, Daekyung Park +15Llm-Based Forecasting MethodsAlternative

  33. When Does Text Inform? Benchmarking Information-Theoretic Metrics for Multimodal Time-Series Forecasting

    Sep 12, 2026Emma Andrews, Gianmarco MengaldoSynthetic Time SeriesInformation-Theoretic Limits

  34. LoaDiff: Conditional Generation of Electricity Consumption Time Series for Energy Analytics

    Sep 12, 2026Mariia Baranova, Adrien Petralia, Etienne Le Naour +3Demand ResponseEnergy Resources

  35. CryptoL: Towards Scale Dominance and Physics Constraints Mitigation in Financial Multivariate Time Series Forecasting

    Sep 12, 2026Yalda Taheri, Mohammad Hassan Heydari, Armon Rasooli +3Decentralized FinanceMultivariate Time Series Forecasting

  36. Bidirectional Multimodal Fusion of Sky Images and Time-Series for Solar Forecasting with Large Language Models

    Sep 11, 2026Ken Chen, Maneesha Perera, Wei Wang +3Energy ForecastingSolar

  37. Evaluating Time-Series Foundation Models and Multimodal Dietary Context for CGM Forecasting

    Sep 11, 2026Bowen Zhang, Hsiu-Wen Cheng, Hongyu Yang +9Continuous Glucose MonitoringTime Series Foundation Models

  38. From Explanations to Interventions: Execution-Guided Counterfactual Synthesis in Temporal Graphs

    Sep 10, 2026Minwoo Yu, Young-guk HaCounterfactual ExplanationCounterfactual Reasoning

  39. Deep Learning-Based Detection of Electrical Faults and Power Quality Disturbances in Aerospace Power Systems

    Sep 9, 2026Ian C. Guzmán, Radu Babiceanu, Berker PeközHigh-Frequency TexturesAccelerator

  40. A Later Test Set Is Not a New Domain: Pretraining Familiarity Survives a Contamination-Free Hold-Out

    Sep 9, 2026Mahdi Naser Moghadasi, Faezeh GhaderiTime Series Foundation ModelsModel Pretraining

  41. RAP: Research Attention Prediction Reveals Target-Conditioned Evidence Acquisition Biases

    Sep 9, 2026Yingqian Wu, Jingcong Liang, Siyuan Wang +4PapersRelation-Conditioned Evidence Encoder

  42. Distillation of Synthetic Data for Time Series Foundation Models

    Sep 9, 2026Niloy Biswas, Noureddine El KarouiTime Series Foundation ModelsSynthetic Data

  43. Not All Variables Agree: Reliability-Aware Variable-Wise Gradient Surgery for Multivariate Time-Series Forecasting

    Sep 8, 2026Jinwoo Park, Hyeongwon Kang, Pilsung KangMultivariate Time Series ForecastingMultivariate Forecasting

  44. IPM-FM: A Foundation Model with Consensus Feature Selection for Industrial Process Monitoring

    Sep 8, 2026Liang Cao, Weide Liu, Yan Qin +3Predictive MaintenanceTime Series Foundation Models

  45. A Multimodal Label Forecasting Method for Aperiodic Visuo-Motor Time Series

    Sep 7, 2026Borui He, Garrett E KatzHuman Motion PredictionMultivariate Forecasting

  46. CLUES-WEASEL: No additional clues required to choose your time series clustering algorithm

    Sep 7, 2026Johann FaouziTime-Series ClassificationImage Clustering

  47. Improving Multivariate Time Series Classification with Class-Wise Training and Model Aggregation

    Sep 7, 2026Mouhamadou Mansour Lo, Gildas Morvan, Mathieu Rossi +2Time-Series ClassificationMulticlass Classification

  48. MedFlow: Class-Aware Multi-Scale Generation for Medical Time-Series Synthesis

    Sep 7, 2026Yanhao Huang, Shibo Feng, Wanjin Feng +2Synthetic Time SeriesMedical Image Generation

  49. Long Horizon Transformer Quantile Fault Prediction for Multi Site Industrial Predictive Maintenance

    Sep 7, 2026David J Poland, Daniele Ravi, Na HelianPredictive MaintenanceLong-Horizon Forecasting

  50. RATL: Learning from Retrieved Residuals for Robust Multivariate Time-Series Forecasting

    Sep 3, 2026Yuchen He, Yueyang Cang, Zhiyuan Ning +2Time SeriesAutoregressive Model

  51. Neural-Network Maxent: a general extension with learned nonlinearity, applied to time-series for Desert Locust distribution modelling

    Sep 3, 2026Alessandro Grassi, Edoardo Kimani Bellotto, Wassim El Azami +2Logistic RegressionTime Series

  52. A Two-Stage Forecasting System for CPU Workload Prediction in Private Clouds

    Sep 3, 2026Ashir Javeed, Anton Borg, Håkan Grahn +3Llm-Based Forecasting MethodsLoad Forecasting

  53. DynG-Diff: A State-Aware Dynamic Guidance Diffusion Framework for Probabilistic Time Series Forecasting

    Sep 2, 2026Zhente Zhang, Zhengwei Ni, Wei FanMultivariate Time Series ForecastingMultivariate Forecasting

  54. Poisson-Gamma Dynamical Systems with Time-varying Transition Dynamics

    Sep 1, 2026Jiahao Wang, Yijun Wang, Nan Fang +1MarkovBayesian

  55. TSPFN: A Temporal Tabular Foundation Model for Physiological Time Series Classification

    Aug 31, 2026Jérémie Stym-Popper, Clément Rambour, Federica Granese +2Physiological DataElectronic Health Record Foundation Models

  56. A Human-in-the-Loop Autonomous Agent for Industry Time Series Forecasting

    Aug 31, 2026Xiaoyu Tao, Mingyue Cheng, Ze Guo +4Load ForecastingHuman-In-The-Loop

  57. Local Reference Geometry Residual Augmentation for Imbalanced Time Series Classification

    Aug 31, 2026Chuanhang Qiu, Yanran Xu, Yue Wang +1Residual LearningTime-Series Classification

  58. Foundation models for electricity price forecasting and battery arbitrage: Can they replace market-specific forecasting models?

    Aug 31, 2026Arkadiusz Lipiecki, Rafał WeronElectricity Price ForecastingLlm-Based Forecasting Methods

  59. Season-Aware Hybrid Convolutional-Transformer for Antarctic Sea Ice Concentration Forecasting

    Aug 31, 2026Danyang Li, John Taylor, Thang Bui +1Hybrid TransformerSea-Surface Temperature Data

  60. TSExplorer: An interactive data annotation and exploration tool for time-series data

    Aug 31, 2026Einari Vaaras, Manu Airaksinen, Okko RäsänenVisual AnalyticsTime Series