Time Series

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Period ending 2026-09-21

21 new papers

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  1. When the Martingale Never Stops Firing: Anytime-Valid Gating on Real Forecast Streams

    Aug 31, 2026Weijia Han, Lisha QuConformal Test MartingalesNon-Stationarity

  2. Into the ORBIT for Time Series: Training Regimes for Foundation Models

    Aug 13, 2026Hongjie Xia, Yiding Liu, Yifan Hu +2Time Series Foundation ModelsZero-Shot Forecasting

  3. History-informed Lagrangian Neural Networks

    Aug 13, 2026Tianshuo Zhang, Xianglei Xing, Wenzhe Zhai +2Long-Horizon ForecastingLatent Dynamics

  4. Represent, Then Generate: Multimodal-Conditioned Time-Series Generation under Irregular Missingness

    Aug 12, 2026Haochen Zhang, Jiaheng Guo, Yu-Chao Huang +2Synthetic Time SeriesHigh-Fidelity Conditional Generation

  5. DYSANOS Generative Dynamic Smooth Arbitrage-free Non-parametric Option Surfaces

    Aug 12, 2026Hans Buehler, Blanka Horvath, Anastasis KratsiosDerivative PricingSynthetic Time Series

  6. GENADA: efficient generative time series adversarial attack framework

    Aug 12, 2026Michael Baronov, Denis Vorobev, Margarita Rusanova +2Adversarial ExamplesSynthetic Time Series

  7. Calibration Bets on the Past: Post-Training Quantization for Financial Time-Series Forecasting

    Aug 12, 2026Junyi Ye, Ivy Gateri WanjikuWeight-Only QuantizationQuantization

  8. LabelFusion-TS: Fusing Large Language Models, Transformer Encoders, and Financial Time Series for Monetary-Policy Stance Classification

    Aug 12, 2026Michael Schlee, Fabian Lukassen, Christoph WeisserFinancial Sentiment AnalysisModernbert

  9. Robust and Efficient Noisy-Label Time-Series Classification via Dynamic Time Warping Based Granular Ball Computing

    Aug 12, 2026Ziqiang Li, Yun Liu, Gouhei TanakaGranular-Ball ComputingTime-Series Classification

  10. Long-Horizon Forecasting of Complete Financial Statements with Forma

    Aug 11, 2026Travis L. Johnson, Jiannan Jiang, Soumyabrata Chaudhuri +3Load ForecastingLong-Horizon Forecasting

  11. Two-stage Odd Residual Flows for Mean-Preserving Probabilistic Time Series Forecasting

    Aug 11, 2026Kiran Madhusudhanan, Christian Klötergens, Lars Schmidt-Thieme +1Multivariate ForecastingLong-Horizon Forecasting

  12. GARLIC: Graph Attention-based Relational Learning of Multivariate Time Series in Intensive Care

    Aug 11, 2026Ruirui Wang, Yanke Li, Manuel Günther +1Intensive Care UnitTime-Series Classification

  13. Physics-informed Diffusion Generative Model for Time-Series Data Synthesis in Dynamic Systems

    Aug 11, 2026Haiteng Wang, Yunfei Zhu, Tao Wang +4Synthetic Time SeriesGas Turbine Combustor

  14. Benchmarking Time Series Generation Methods for Privacy-Preserving Forecasting

    Aug 11, 2026Luis Amorim, Vitor Cerqueira, Moises Santos +2Synthetic Time SeriesAnonymization

  15. Retrieval-Corrected Conformal Prediction for Time Series

    Aug 11, 2026Sangjin Jin, Kangmin Kim, Junhyeong Lee +1Conformal PredictionMultivariate Forecasting

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

    Aug 10, 2026Xu Zhang, Chang Xu, Hui Sun +5Multivariate ForecastingEnsemble

  17. Evaluating Generative Time-Series Models on Data with Point Masses

    Aug 10, 2026Jian XuSynthetic Time SeriesDeterminantal Point Process

  18. LITEWAY: LIghtweight HAR via Temporal Efficient highWAY

    Aug 10, 2026Dominique Nshimyimana, Vitor Fortes Rey, Mengxi Liu +2Human Activity RecognitionTemporal Convolutional Networks

  19. CPDA: Class-Conditional Path Distribution Alignment for Unsupervised Time-Series Domain Adaptation

    Aug 10, 2026Felix Ott, Christopher MutschlerDomain AdaptationTime-Series Classification

  20. Hybrid Neural-Classical Correction for Frozen Time Series Foundation Models: A Comprehensive Ablation Study on High-Frequency Stock Prediction

    Aug 9, 2026Kasun Dewage, Suranadi De Silva, Shankhadeep MondalTime Series Foundation ModelsStochastic Volatility

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

    Aug 8, 2026Pingping Liu, Muyao Wang, Zijian Zhang +5Time-Series ClassificationTime-Frequency

  22. TSDS-Toolbox: A Toolbox for Measuring Time-Series Dataset Similarity

    Aug 8, 2026Yen-Ku Liu, Hongjie Chen, Ryan A. Rossi +1Time SeriesSemantic Similarity Metrics

  23. Ground-Truth Neighborhood Regularization for Reinforcement Learning Post-Training of Time Series Foundation Models

    Aug 8, 2026Jianqi Zhang, Xingyu Zhang, Zeen Song +3Time Series Foundation ModelsReinforcement Learning Post-Training

  24. PhysAttNet: Enhancing Predictive Performance in Industrial and Astrophysical Time Series via Physics-Informed Attention

    Aug 7, 2026Amal Saadallah, Julia Tjus, Petra Wiederkeher +1Multivariate ForecastingTime Series

  25. Beyond Myopic World Models: Long-Horizon End-to-End Training for Direct Future Prediction

    Aug 7, 2026Xinyi Li, Zaishuo Xia, Chenjie Hao +1Long-Horizon ForecastingWorld Models

  26. When GNNs Fail: Quantifying and Overcoming Temporal Correlation Volatility in Time Series

    Aug 7, 2026Chen Shao, Yue Wang, Zhenyi Zhu +4Temporal Graph Neural NetworksGraph Neural Networks

  27. Accounting Graph Transformer for Short-History Multi-KPI Forecasting in Small Businesses

    Aug 7, 2026Shrutendra Harsola, Vignesh SubrahmaniamLlm-Based Forecasting MethodsLoad Forecasting

  28. Beyond Foundation Models: Dimension-Aware Neural Architecture Search with Small-Data Representation Models for Cryocooler Lifetime Prediction

    Aug 7, 2026Gregor Molan, Grafika Jati, Francesco Barchi +3Time Series Foundation ModelsRepresentation Learning

  29. Dirichlet Follow-the-Leader Closes the Gap in Simultaneous Multiclass U-Calibration

    Aug 7, 2026Pahan DewasurendraLinear RegretMultiplier Bootstrap

  30. Is Self-Pretraining really useful to improve diagnosis in medical Time Series?

    Aug 6, 2026Omar Coser, Antonio Orvieto, Paolo Soda +1Time-Series ClassificationSelf-Supervised

  31. Dense-Cast: A lightweight ensemble of deep learning architectures for precipitation nowcasting

    Aug 6, 2026Gourav Jyoti Kalita, Hidam Kumarjit SinghPrecipitationLong-Horizon Forecasting

  32. Hybrid Machine Learning Framework for Herd-Level Cattle Growth Pattern and Weight Gain Forecasting in Grazing-Based Production Systems

    Aug 6, 2026Muhammad Riaz Hasib Hossain, Rafiqul Islam, Shawn R. McGrath +2Long-Horizon ForecastingMachine Learning

  33. Multivariate Time Series Forecasting needs Cross Variable Loss

    Aug 6, 2026Kuiye Ding, Yifan Hu, Hanchen Wang +1Multivariate Time Series ForecastingCovariate Shift

  34. Align-RAG: Alignment Is All You Need for TSFM In-Context Learning

    Aug 6, 2026Mohammad Asadi, Soheil Hor, Bardiya Akhbari +6Time Series Foundation ModelsHievi-Rag

  35. IMFACT: Counterfactual Explanations for Time Series via Intrinsic Mode Function Substitution

    Aug 5, 2026Udo Schlegel, Julian Rakuschek, Thomas Seidl +3Counterfactual ExplanationCounterfactual Reasoning

  36. Personalized Federated Sparse Adaptation of Time-Series Foundation Models

    Aug 5, 2026Priyanka Nihalchandani, Naman Srivastava, Varun Ojha +1Time Series Foundation ModelsParameter-Efficient Adaptation

  37. Beyond Linear Dynamics: Neural Bilinear Dynamical Models for Time Series Forecasting

    Aug 5, 2026Mengzhou Gao, Huangqian Yu, Pengfei JiaoNonlinear DynamicsLong-Horizon Forecasting

  38. TS2TabPFN: Time Series Classification and Extrinsic Regression through Feature Extraction and a Tabular Foundation Model

    Aug 4, 2026Gabriel da Costa Merlin, Diego Furtado SilvaTime-Series ClassificationTabular Prior-Data Fitted Network

  39. MINT: Tensor Decomposition on Stacked Recurrence Matrices for Time Series Data Mining

    Aug 4, 2026Kaamil Kaka, Audrey Der, Evangelos E. Papalexakis +2Time SeriesTensor

  40. PRISM: Powerful Time Series to Image (TS2I) Representations for Multivariate Anomaly Detection

    Aug 4, 2026Mateusz Smendowski, Kamil Faber, Piotr Nawrocki +2Time-Series Anomaly DetectionTime Series

  41. Spatiotemporal Graph Transformer for Traffic Intelligence in Edge Computing

    Aug 4, 2026Laha Ale, Letian Lin, Na Cao +2Accurate Traffic ForecastingTemporal Graph Neural Networks

  42. Pivot-Centric Trajectory Prediction: Bridging Long Horizons via Dynamical Guidance

    Aug 4, 2026Xiucong Zhao, Jindong Tian, Hao MiaoTrajectory PredictionLong-Horizon Forecasting

  43. TimeRLM: Recursive Language Models Enable Precise Anomaly Localization in Long-Context Time-Series

    Aug 4, 2026Nicolas Zumarraga, Lorenzo Steno, Ning Wang +9Time-Series Anomaly DetectionAnomalous Frame Detection

  44. CastFSR: A Fast--Slow--Reflect Agentic Reasoning Framework for Context-Aware Time Series Forecasting

    Aug 4, 2026Xiaoyu Tao, Mingyue Cheng, Bokai Pan +6Llm-Based Forecasting MethodsAgentic Reasoning

  45. Forecasting Revenue with its Customer-Base Drivers: When and Why Coordination Helps

    Aug 3, 2026Kyeongbin Kim, Daniel McCarthy, Dokyun LeeLlm-Based Forecasting MethodsCoordination

  46. NOMADD: Numerical Optimization of Models Adapting to Data Drift

    Aug 3, 2026Swapn Shah, Keith BurghardtTabular Prior-Data Fitted NetworkTabular Learning

  47. GLAIM: Learning Global and Local Adaptive Inter-Variable Dependency for Multivariate Time Series Imputation

    Aug 3, 2026Mingyang Wang, Rongwen Li, Xiao Wang +1Multivariate Time Series ImputationMissing Data

  48. ReasonCast: Towards Explainable Time Series Forecasting with Reasoning

    Aug 3, 2026Seunghan Lee, Jun Seo, Jaehoon Lee +9Multivariate Forecasting

  49. Beyond Magnitude and Shape: A Direction-Aware Loss for Time Series Forecasting

    Aug 3, 2026Seunghan Lee, Jaehoon Lee, Jun Seo +9Multivariate ForecastingLoss Function

  50. CENTILE: A Telemetry Foundation Model Evaluated by the Decisions It Drives

    Aug 3, 2026Zifan Zhang, Zhichao Hou, Tingxiang Ji +1Multivariate Telemetry DataLong-Horizon Forecasting

  51. Statistical comparisons of time-series feature sets on classification tasks

    Aug 3, 2026Trent Henderson, Ben D. FulcherTime-Series ClassificationTime Series

  52. FedChronos: Federated Fine-Tuning of Time-Series Foundation Models for Privacy-Preserving Commodity Price Forecasting

    Aug 2, 2026Amit Sharma, Nitin Auluck, Akramul AzimTime Series Foundation ModelsChronos

  53. A Sequence-to-Sequence ConvLSTM Approach for Leaf Area Index Forecasting over the South-Central United States

    Aug 1, 2026Zhixing Ruan, Lixin LuNormalized Difference Vegetation IndexLlm-Based Forecasting Methods

  54. BayesSeg: A Bayesian Optimization Framework for State Segmentation of Electricity Consumption Time Series

    Aug 1, 2026Zhenya Zhang, Wendi Zhu, Ping Wang +2Time-Series ClassificationBayesian Optimization

  55. TFGformer: Multivariate Time Series Forecasting via Time-Frequency Graph Learning and Covariate Fusion

    Jul 31, 2026Yu Sun, Yuan Chang, Xiaohou Shi +1Multivariate Time Series ForecastingLlm-Based Forecasting Methods

  56. HERO: History-Enriched Rollout Training for Long-Horizon Autoregressive Neural Operators

    Jul 31, 2026Jiaquan Zhang, Shuxu Chen, Haifan Meng +6Autoregressive RolloutNeural Operators

  57. Geometry-aware Incremental Neural Operator for Long-Horizon PDE prediction

    Jul 31, 2026Jiaquan Zhang, Shuxu Chen, Haifan Meng +6Long-Horizon ForecastingPartial Differential Equations

  58. Causal Discovery with Inverted Self-attention for Multivariate Time Series

    Jul 30, 2026Yusen Liu, Yong Wang, Yifan Yin +3Causal Foundation ModelsTime Series

  59. Information Bottleneck Learning for Faithful Time Series Forecasting Explanations

    Jul 30, 2026Xu Zheng, Wei Cheng, Zhuomin Chen +3Multivariate ForecastingLoad Forecasting

  60. Enhancing Irregular Time Series Forecasting with Continuous-Time Modeling Framework

    Jul 30, 2026Tianen Shen, Zhengyu Li, Yutong Li +4Multivariate Time Series ForecastingTime Series