Time Series

Ask about this topic

Recent momentum

-43%

12 papers in the last 28 days · 0.2% of indexed attention

Twelve weeks of publication activity for this topic as it is defined today.

Also in Time Series

Neighbouring directions

Time Series Foundation ModelsTime-Series ClassificationLong-Horizon ForecastingMultivariate ForecastingMultivariate Time Series ForecastingLoad ForecastingSynthetic Time SeriesLlm-Based Forecasting Methods

Weekly history

Recent digests

What was published in this topic, kept on the site without email delivery.

Period ending 2026-09-21

3 new papers

A weekly snapshot of new work published in Time Series.

Period ending 2026-09-14

4 new papers

A weekly snapshot of new work published in Time Series.

Period ending 2026-09-07

2 new papers

A weekly snapshot of new work published in Time Series.

256 papers

Latest in Time Series

Browse all topics →
CardsList

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

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

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

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

  3. 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

  4. Explaining Time Series Forecasting with Horizon-Resolved Attribution

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

  5. 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

  6. 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

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

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

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

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

  9. 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

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

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

  11. 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

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

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

  13. 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

  14. GENADA: efficient generative time series adversarial attack framework

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

  15. 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

  16. Retrieval-Corrected Conformal Prediction for Time Series

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

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

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

  18. LITEWAY: LIghtweight HAR via Temporal Efficient highWAY

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

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

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

  20. 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

  21. 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

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

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

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

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

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

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

  25. 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

  26. 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

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

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

  28. 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

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

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

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

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

  31. DoTime: A Synthetic Benchmark Generator for Interventional and Counterfactual Time Series

    Jul 29, 2026Dennis Thumm, Billy Tim Anthony, Ying ChenCausal InferencesSynthetic Time Series

  32. Causal-TS: A Python Library for Causal Discovery in High-Dimensional and Nonstationary Time Series

    Jul 27, 2026Mohammad FesangharyCausal Foundation ModelsCausal Reasoning

  33. Multivariate Time Series Forecasting with Adaptive Non-Local Observables

    Jul 27, 2026Yu-Ting Lee, Huan-Hsin Tseng, Samuel Yen-Chi ChenMultivariate Time Series ForecastingQuantum Neural Networks

  34. Domain-Prior-Regularized Graph Modeling for Anomaly Detection in Cyber-Physical Systems

    Jul 25, 2026Youngseok Hwang, Joonsung Kwon, Geonwoo Lee +1Generalist Graph Anomaly DetectionAnomaly Detection

  35. Foundation Models and Fine-Tuning: Toward a New Generation of Models for Time Series Forecasting

    Jul 25, 2026Morad Laglil, Bertrand Pracca, Emilie Devijver +1Zero-Shot ForecastingTime Series

  36. Hopformer: Homogeneity-Pursuit Transformer for Time Series Forecasting

    Jul 24, 2026Wan Zhang, Qinjie Lin, Chan Lee +3Time SeriesMixformer

  37. Beyond Sufficiency: Time Series Explanation with Counterfactual Necessity

    Jul 23, 2026Hongnan Ma, Yiwei Shi, Mengyue Yang +1Counterfactual ExplanationTime Series

  38. Transformer-based Diffusion models for Hydrological Time Series Probabilistic Imputation and Forecasting

    Jul 23, 2026Ferdinand Bhavsar, Lionel Benoit, Maxime Savatier +1Fundamental Hydrological PrinciplesTime Series

  39. From Scalars to Time Series: Rethinking Implicit Neural Representations for Time-Varying Volumetric Data

    Jul 23, 2026Weihan Zhang, Xuan Zhao, Yenwen Peng +2Implicit Neural RepresentationsSpatiotemporal Representations

  40. Spectrogram-Based Joint Detection, Localization, and Classification of Events in Continuously Recorded IBR Waveforms

    Jul 23, 2026Shivanshu Tripathi, Maziar Raissi, Hamed Mohsenian-RadWaveformsTime Series

  41. PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling

    Jul 22, 2026Shiyuan Luo, Runlong Yu, Chonghao Qiu +6Physics-Informed Machine LearningPhysics-Aware Models

  42. D3VL: Understanding Driving Scenes from 3D Time Series Data and Video with Language Models

    Jul 21, 2026Heesang Han, A. Lynn Abbott, Abhijit SarkarWaymo Open Motion DatasetAutonomous Driving

  43. Biological Amnesia in ICU Time-Series Prediction: A Drift-Adaptive Two-Stream Architecture with Temporal Retrieval

    Jul 21, 2026Fatema Ferdous Tamanna, K. M. Merajul Arefin, Md. Abdul MasudIntensive Care UnitMortality

  44. ConceptCF: Concept-based Counterfactuals for the Explainability of Time Series

    Jul 21, 2026Annemarie Jutte, Faizan Ahmed, Jeroen Linssen +1Counterfactual ExplanationCounterfactual Reasoning

  45. Causal Discovery on Irregular Time Series

    Jul 20, 2026Martim Penim, Ricardo Ribeiro Pereira, Jacopo Bono +3Causal Foundation ModelsCausal Graph

  46. Knowledge-Assisted Multi-Graph Dependency Learning for Multivariate Time Series Anomaly Detection in Multi-Stage Industrial Processes

    Jul 17, 2026Jaeyeong Lee, Taeseong Yoon, Wonmo Koo +1Anomaly DetectionGraph Neural Networks

  47. Scaling Time Series Classification via XAI-Driven Data Reduction

    Jul 17, 2026Davide Italo Serramazza, Thach Le Nguyen, Georgiana IfrimTime-Series ClassificationTime Series

  48. MIDiff: Tackling Sparsity and Imbalance in Mobile Usage Generation via Multivariate-Imaging Diffusion

    Jul 15, 2026Yilai Liu, Shiyuan Zhang, Hongyang DuDiscrete Diffusion ModelGenerative Models

  49. VAIOM: Continuous-Input, Discrete-Output Decoder-Only Financial Sequence Modeling

    Jul 15, 2026Yiming Ma, Xinyu ChenStochastic VolatilityAutoregressive Model

  50. ReDiTT: Retrieval Augmented Conditional Diffusion Transformers for Asynchronous Time Series

    Jul 14, 2026Saiyue Lyu, Zhitian Zhang, Ruizhi Deng +1Time SeriesLong-Horizon Forecasting

  51. GatedLinear: Adaptive Routing of Complementary Linear Bases for Time Series Forecasting

    Jul 10, 2026Qitai Tan, Ruiwen Gu, Yilin Su +3Time SeriesGated Recurrent Unit

  52. Terminal Dimension Reduction for Time Series with Applications

    Jul 10, 2026Alexander Munteanu, Matteo Russo, David Saulpic +1Dimensionality ReductionTime Series

  53. TSRouter: Dynamic Modality-Model Selection for Time Series Reasoning

    Jul 9, 2026Fangxu Yu, Tao Feng, Dehai Min +3Time SeriesInference-Time

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

    Jul 9, 2026Sumit Satishrao Shevtekar, Chandresh Kumar MauryaLong-Horizon ForecastingTime Series

  55. FMMVCC: Fuzzy Mamba-based Multi-View Contrastive Clustering for Univariate Time Series

    Jul 8, 2026Donato Cerciello, Leonardo Schiavo, Angel Panizo-LLedot +2Time-Series ClassificationTime Series

  56. Rethinking Multimodal Time-Series Forecasting Evaluation

    Jul 8, 2026Haoxin Liu, Yichen Zhou, Rajat Sen +2Zero-Shot ForecastingTime Series

  57. Enhancing deep learning models for time series classification via knowledge distillation

    Jul 7, 2026Javidan Abdullayev, Maxime Devanne, Jonathan Weber +1Knowledge DistillationTime-Series Classification

  58. tsbootstrap: Distribution-Free Uncertainty Quantification and Conformal Prediction for Time Series

    Jul 7, 2026Sankalp GildaMultiplier BootstrapConfidence Intervals

  59. Advances in Neural Controlled Differential Equations

    Jul 6, 2026Benjamin WalkerNeural Ordinary Differential EquationsNeural Control

  60. Exogenous Dropout: A Simple, Strong Baseline for Corruption-Robust Time Series Forecasting with Covariates

    Jul 5, 2026Hao Hu, Xue-shan AiMultivariate ForecastingTime Series