Time Series

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  1. Deep Learning for Accelerated Long-Horizon Forecasting of Multicomponent Multiphase Microstructure Evolution in High-Entropy Alloys

    Jul 30, 2026Hamidreza Razavi, Nele MoelansPorous MediaLong-Horizon Forecasting

  2. HealthCAT: An Interpretable Encoder-only Transformer Framework for Health Indicator Prediction and Temporal Interpretation of Wearable Sensor Data

    Jul 30, 2026Xiaotong Yu, Joshua Y. Kim, HaeJin Lee +1Wearable DevicesTime-Series Classification

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

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

  4. Contrastive Representation Learning of Longitudinal Disease Trajectories on Temporal Graphs

    Jul 28, 2026Bastian PfeiferLongitudinal Patient RecordsTemporal Graphs

  5. TWICE: Two-Clock, Two-Window Learning for Long-Horizon Conversion Prediction in Online Advertising

    Jul 28, 2026Kaiyuan Li, Kun Wang, Zhongbo Wang +4Click-Through Rate PredictionTime Window Temporal Logic Specifications

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

    Jul 27, 2026Mohammad FesangharyCausal Foundation ModelsCausal Reasoning

  7. LLM-SoccerArena: Benchmarking LLMs on Real-World Predictions in Sports

    Jul 27, 2026Jonas Schröder, Jonas Schweisthal, Oliver Müller +2Load Forecasting

  8. The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows

    Jul 27, 2026Alberto Solera-Rico, Patricia García-Caspueñas, Carlos Sanmiguel Vila +1Reduced-Order ModelsLatent Dynamics

  9. LLM as Forecasting Planner: Training-Free Text Conditioning for Time-Series Foundation Models

    Jul 27, 2026Huu Hiep Nguyen, Dung Nguyen, Minh Hoang Nguyen +2Time Series Foundation ModelsPlanning Methods

  10. 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

  11. Neural operator discovery from heterogeneous trajectories

    Jul 25, 2026Zituo Chen, Qiaofeng Li, Jiaxin Hu +1Neural OperatorsInteraction Trajectories

  12. 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

  13. 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

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

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

  15. Beyond Sufficiency: Time Series Explanation with Counterfactual Necessity

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

  16. CARNet Cycle-Conditioned Core Aggregation and Redistribution for Multivariate Time Series Forecasting

    Jul 23, 2026Awsaf Tausif Adib, Md. Shahria Sarker Shuvo, Md. Estehaar Ahmed Emon +4Multivariate Time Series Forecasting

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

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

  18. Nipping the Butterfly Effect in the Bud: Self-Output Fine-Tuning for Autoregressive Weather Prediction

    Jul 23, 2026Yun-Ye Cai, Hsuan-Tien LinArtificial Intelligence Weather ModelsLong-Horizon Forecasting

  19. 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

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

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

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

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

  22. Zero-Shot Heart Rate Variability Forecasting from Consumer Wearables Using Time Series Foundation Models

    Jul 22, 2026Luukas Peräkylä, Fahad Sohrab, Ville Hautamäki +3Time Series Foundation ModelsHeart Rate

  23. Post-Training in Time Series Foundation Models: A Unifying Framework

    Jul 22, 2026Shifeng Xie, Ambroise Odonnat, Zehao Xiao +7Time Series Foundation ModelsLLM Post-Training Methods

  24. Forecasting the Number of Harvest-ready Fruits of Sweet Peppers Using Multimodal Time-Series Data

    Jul 22, 2026Enrico Pallotta, Mohamed Farag, Esra Guclu +3Apple Tree Leaf Disease Segmentation DatasetFruit

  25. Nonlinear Bias-Compensated Adaptive Filter and Its Application for Time-Series Prediction

    Jul 22, 2026Yi Peng, Haiquan Zhao, Jinhui HuMultivariate ForecastingNoise-Aware

  26. Expert-Guided Forecast Editing for Time-Series Foundation Models

    Jul 22, 2026Hung Le, Minh Hoang Nguyen, Manh Nguyen +2Time Series Foundation ModelsLoad Forecasting

  27. 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

  28. In-Context Time Series Classification with Random Convolutional Features

    Jul 21, 2026Joscha Cüppers, Jilles VreekenTime-Series ClassificationTemporal Convolutional Networks

  29. 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

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

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

  31. Causal Discovery on Irregular Time Series

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

  32. Towards Reliable Zero-Shot Crowd Forecasting: Evaluating Time Series Foundation Models for Special Event Pedestrian Forecasting

    Jul 20, 2026Ziteng Li, Yanan Xin, Tina Comes +1Zero-Shot ForecastingPedestrian Trajectory Prediction

  33. Lightweight Wrappers for Adapting Time Series Foundation Models to Regional Drought Forecasting

    Jul 20, 2026Wentao Gao, Jiuyong Li, Lin Liu +4Time Series Foundation ModelsZero-Shot Forecasting

  34. Residual-Guided Multi-Resolution Refinement of Foundation Models: A Case Study in Drought Forecasting

    Jul 20, 2026Wentao Gao, Jiuyong Li, Lin Liu +4Time Series Foundation ModelsDiffusion Refinement

  35. HyBDM: Multi-Scale Hybrid Experts for Time Series Forecasting with Bidirectional Dependency Modeling

    Jul 18, 2026Wenqiang Ma, Chen Cheng, Xue Cheng +1Multivariate Time Series ForecastingLong-Range Temporal Dependencies

  36. A Quantum-Classical Hybrid Framework for Multivariate Time-Series Forecasting Complexity-Fidelity Trade-offs and Limitations

    Jul 17, 2026Sanjay Chakraborty, Fredrik HeintzHybrid Quantum Neural NetworksMultivariate Time Series Forecasting

  37. 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

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

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

  39. A Benchmark for Electrical Load Forecasting Across Grid Levels: Time-Series Transformers Outperform Established Methods

    Jul 17, 2026Matthias Hertel, Sebastian Pütz, Jonathan Kolar +3Electricity Price ForecastingTime Series Foundation Models

  40. A Minimal Interpretable Architecture for Zero-Shot Reconstruction of Dynamical Systems

    Jul 16, 2026Christoph Jürgen Hemmer, Florian Plaswig, Daniel DurstewitzZero-Shot ForecastingDynamical Systems

  41. Asymmetric Peak-Aware Loss for Peak-Critical Time Series Forecasting

    Jul 16, 2026Theivaprakasham Hari, Yanan Xin, Winnie Daamen +2Multivariate ForecastingEarly Failure Prediction

  42. A Comparative Analysis of Machine Learning Models for Long and Short-Term Forecasting of the Egyptian Stock Market: A Focus on EGX30

    Jul 15, 2026Muhammed Walid, Ahmed El-Naeimy, Hosam Moubarak +1Long-Horizon ForecastingMachine Learning

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

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

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

    Jul 15, 2026Yiming Ma, Xinyu ChenStochastic VolatilityAutoregressive Model

  45. Exploring Zero-Shot Foundation Models for Multivariate Time Series Anomaly Detection

    Jul 14, 2026Martin Uray, Saverio Messineo, Roland Kwitt +1Time-Series Anomaly DetectionTime Series Foundation Models

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

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

  47. When Directional Accuracy Lies: A Base-Rate-Honest Benchmark for LoRA-Adapted TimesFM on Equity Forecasting

    Jul 14, 2026Taizhen CheungTime Series Foundation ModelsFinance Benchmarks

  48. From Checker to Forecaster: Code-Owned Evaluation of Model-Generated Strategic Routes Under Delayed Ground Truth

    Jul 13, 2026Aleh ManchuliantsauLoad ForecastingGround Truth

  49. Multi-Scale Convolution with Optimal Transport Attention Effect on Multivariate Time Series

    Jul 12, 2026HaoChong Fu, Jian XuMultivariate Time Series ForecastingTemporal Convolutional Networks

  50. GRATE: Temporal Extensions for Inductive KG Foundation Models via Gated Rotary Attention

    Jul 11, 2026Jiaxin Pan, Osama Mohammed, Daniel Hernández +1Temporal Knowledge GraphsKnowledge Graph Embeddings

  51. A Foundation Model for Multimodal Event Sequences in Financial Applications

    Jul 10, 2026Nikita Rusakov, Vladislav Meshkov, Konstantin Zorin +4Multimodal Foundation ModelTime Series Foundation Models

  52. Global Merger-Arbitrage Forecasting with Language Models

    Jul 10, 2026Hinal Jajal, Michal Mucha, Charles Sweat +3Load ForecastingProbability

  53. CLIR-Bench: Benchmarking Multimodal Question Answering over Irregular Clinical Time Series

    Jul 10, 2026Frank Nie, Ethan B. Liu, Yuan Zhu +3Time-Series ClassificationMultimodal Query

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

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

  55. Terminal Dimension Reduction for Time Series with Applications

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

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

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

  57. Progression as Latent Drift: Generative Forecasting of Slow-Evolving Pathologies

    Jul 9, 2026Yuxiang Feng, Juncheng Wang, Chao Xu +7Identity-Conditioned Latent Diffusion ModelsLatent Bridge Matching

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

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

  59. What LLM Forecasters Know but Don't Say: Probing Internal Representations for Calibration and Faithfulness

    Jul 9, 2026Raphaël Sarfati, Pratyush Ranjan Tiwari, Siddharth Boppana +3Load ForecastingChain-of-Thought Reasoning

  60. Evaluating the Generalizability of Foundation Models for Extreme Environmental Events: Case Study of California Wildfire PM2.5

    Jul 8, 2026Yongcan Huang, Li Jiang, Ze Yu LiuWildfire PredictionTime Series Foundation Models