Time Series

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Period ending 2026-09-21

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  1. Training-Free Probabilistic Time-Series Forecasting with Conformal Seasonal Pools

    May 5, 2026Valery ManokhinMultivariate ForecastingConformal Prediction

  2. OracleProto: A Reproducible Framework for Benchmarking LLM Native Forecasting via Knowledge Cutoff and Temporal Masking

    May 5, 2026Yiding Ma, Chengyun Ruan, Kaibo Huang +2Load ForecastingOracles

  3. FinSTaR: Towards Financial Reasoning with Time Series Reasoning Models

    May 5, 2026Seunghan Lee, Jun Seo, Jaehoon Lee +7Large Reasoning ModelsTime Series

  4. Global and Local Topology-Aware Attention with Persistent Homology and Euler Biases for Time-Series Forecasting

    May 4, 2026Usef Faghihi, Amir SakiTopological Deep LearningTime Series

  5. Temporal-Decay Shapley: A Time-Aware Data Valuation Framework for Time-Series Data

    May 4, 2026Chuwen Pang, Bing Mi, Kongyang ChenTime SeriesShapley Value

  6. TimeTok: Granularity-Controllable Time-Series Generation via Hierarchical Tokenization

    May 2, 2026Seokhyun Lee, Jaeho Kim, Changjun Oh +2Synthetic Time SeriesAutoregressive Generation

  7. Forecasting Source Stability in Scientific Experiments using Temporal Learning Models: A Case Study from Tritium Monitoring

    May 2, 2026Nicholas Tan Jerome, Nadia Aouadi, Christoph Koehler +2Multivariate ForecastingEarly Failure Prediction

  8. CombinationTS: A Modular Framework for Understanding Time-Series Forecasting Models

    May 2, 2026Xiaorui Wang, Fanda Fan, Chenxi Wang +9Multivariate ForecastingModular Framework

  9. PAMNet: Cycle-aware Phase-Amplitude Modulation Network for Multivariate Time Series Forecasting

    May 1, 2026Yingbo Zhou, Yutong Ye, Zhiwei Ling +5Multivariate Time Series ForecastingGlobal Attention Mechanism

  10. Learning Fingerprints for Medical Time Series with Redundancy-Constrained Information Maximization

    Apr 30, 2026Huayu Li, ZhengXiao He, Xiwen Chen +4Time-Series ClassificationMasked Autoencoders

  11. SPLICE: Latent Diffusion over JEPA Embeddings for Conformal Time-Series Inpainting

    Apr 30, 2026Arnaud ZinflouMultivariate Time Series ImputationElectricity Price Forecasting

  12. Explainable Load Forecasting with Covariate-Informed Time Series Foundation Models

    Apr 30, 2026Matthias Hertel, Alexandra Nikoltchovska, Sebastian Pütz +3Electricity Price ForecastingTime Series Foundation Models

  13. Comparative Analysis of Polygon-Based and Global Machine Learning Models for Bus Occupancy Prediction

    Apr 30, 2026Daniel Azenkot, Michael Fire, Eran Ben EliaAccurate Traffic ForecastingLlm-Based Forecasting Methods

  14. Parameter-Efficient Adaptation of Pre-Trained Vision Foundation Models for Active and Passive Seismic Data Denoising

    Apr 30, 2026Jiahua Zhao, Umair bin Waheed, Jing Sun +3Full Waveform InversionParameter-Efficient Adaptation

  15. ITS-Mina: A Harris Hawks Optimization-Based All-MLP Framework with Iterative Refinement and External Attention for Multivariate Time Series Forecasting

    Apr 30, 2026Pourya Zamanvaziri, Amirhossein Sadr, Aida Pakniyat +1Multivariate Time Series ForecastingTemporal Convolutional Networks

  16. Differentiable latent structure discovery for interpretable forecasting in clinical time series

    Apr 30, 2026Ivan Lerner, Jean Feydy, Alexandre Kalimouttou +2Electronic Health RecordsMimic-Iv Datasets

  17. CastFlow: Learning Role-Specialized Agentic Workflows for Time Series Forecasting

    Apr 30, 2026Bokai Pan, Mingyue Cheng, Zhiding Liu +6Llm-Based Forecasting MethodsAgentic Workflows

  18. Probabilistic Circuits for Irregular Multivariate Time Series Forecasting

    Apr 30, 2026Christian Klötergens, Vijaya Krishna Yalavarthi, Lars Schmidt-ThiemeMultivariate Time Series ForecastingTime Series

  19. Soft-MSM: Differentiable Context-Aware Elastic Alignment for Time Series

    Apr 30, 2026Christopher Holder, Anthony BagnallTime-Series ClassificationTime Series

  20. VTBench: A Multimodal Framework for Time-Series Classification with Chart-Based Representations

    Apr 29, 2026Madhumitha Venkatesan, Xuyang Chen, Dongyu LiuTime-Series ClassificationChart

  21. Preserving Temporal Dynamics in Time Series Generation

    Apr 29, 2026Ci Lin, Futong Li, Tet Yeap +1Synthetic Time SeriesGenerative Adversarial Network

  22. Exploring the Potential of Probabilistic Transformer for Time Series Modeling: A Report on the ST-PT Framework

    Apr 29, 2026Zhangzhi Xiong, Haoyi Wu, You Wu +3Time SeriesSpatio-Temporal Transformers

  23. Evaluating Strategic Reasoning in Forecasting Agents

    Apr 28, 2026Tom Liptay, Dan Schwarz, Rafael Poyiadzi +2Load ForecastingStrategic Agents

  24. EvoTSC: Evolving Feature Learning Models for Time Series Classification via Genetic Programming

    Apr 28, 2026Xuanhao Yang, Bing Xue, Mengjie ZhangTime-Series ClassificationGenetic Algorithms

  25. Prior-Agnostic Robust Forecast Aggregation

    Apr 27, 2026Zhi Chen, Cheng Peng, Wei TangLlm-Based Forecasting MethodsLinear Regret

  26. Hindsight Preference Optimization for Financial Time Series Advisory

    Apr 27, 2026Yanwei Cui, Guanghui Wang, Xing Zhang +7Large Language Model Decision-MakingTime Series

  27. FETS Benchmark: Foundation Models Outperform Dataset-specific Machine Learning in Energy Time Series Forecasting

    Apr 24, 2026Marco Obermeier, Marco Pruckner, Florian Haselbeck +1Electricity Price ForecastingTime Series Foundation Models

  28. Fixation Sequences as Time Series: A Topological Approach to Dyslexia Detection

    Apr 23, 2026Marius Huber, David R. Reich, Lena A. JägerPersistent HomologyTopological Data Analysis

  29. ARFBench: Benchmarking Time Series Question Answering Ability for Software Incident Response

    Apr 23, 2026Stephan Xie, Ben Cohen, Mononito Goswami +6Time Series Foundation ModelsTime Series

  30. A Hybridizable Neural Time Integrator for Stable Autoregressive Forecasting

    Apr 22, 2026Brooks Kinch, Xiaozhe Hu, Yilong Huang +6Autoregressive TransformersLong-Horizon Forecasting

  31. DialToM: A Theory of Mind Benchmark for Forecasting State-Driven Dialogue Trajectories

    Apr 22, 2026Neemesh Yadav, Palakorn Achananuparp, Jing Jiang +1Theory-Of-Mind ReasoningTheoretical Foundations

  32. Adaptive Conformal Anomaly Detection with Time Series Foundation Models for Signal Monitoring

    Apr 22, 2026Natalia Martinez Gil, Fearghal O'Donncha, Wesley M. Gifford +3Time-Series Anomaly DetectionTime Series Foundation Models

  33. Time Series Augmented Generation for Financial Applications

    Apr 21, 2026Anton Kolonin, Alexey Glushchenko, Evgeny Bochkov +1Synthetic Time Series

  34. Scalable Memristive-Friendly Reservoir Computing for Time Series Classification

    Apr 21, 2026Coşku Can Horuz, Andrea Ceni, Claudio Gallicchio +1Reservoir ComputingNeuromorphic Hardware

  35. Barrier-enforced multi-objective optimization for direct point and sharp interval forecasting

    Apr 20, 2026Worachit Amnuaypongsa, Yotsapat Suparanonrat, Pana Wanitchollakit +1Energy ForecastingPredictive Uncertainty

  36. CAARL: In-Context Learning for Interpretable Co-Evolving Time Series Forecasting

    Apr 20, 2026Etienne Tajeuna, Patrick Asante Owusu, Armelle Brun +1Multivariate Time Series ForecastingTime Series

  37. Earth System Foundation Model (ESFM): A unified framework for heterogeneous data integration and forecasting

    Apr 20, 2026Firat Ozdemir, Yun Cheng, Salman Mohebi +11Time Series Foundation ModelsGeospatial Foundation Models

  38. Causally-Constrained Probabilistic Forecasting for Time-Series Anomaly Detection

    Apr 20, 2026Pooyan Khosravinia, João Gama, Bruno VelosoTime-Series Anomaly DetectionAnomaly Detection

  39. Back to Repair: A Minimal Denoising Network for Time Series Anomaly Detection

    Apr 19, 2026Kadir-Kaan Özer, René Ebeling, Markus EnzweilerTime-Series Anomaly DetectionTime Series

  40. SPaRSe-TIME: Saliency-Projected Low-Rank Temporal Modeling for Efficient and Interpretable Time Series Prediction

    Apr 19, 2026K. A. ShahriarTime SeriesTemporal Deep Learning Framework

  41. LLaTiSA: Towards Difficulty-Stratified Time Series Reasoning from Visual Perception to Semantics

    Apr 19, 2026Yueyang Ding, HaoPeng Zhang, Rui Dai +4Large Vision Language ModelsTime Series

  42. In-Context Learning Under Regime Change

    Apr 18, 2026Carson Dudley, Yutong Bi, Xiaofeng Liu +1Time Series Foundation ModelsChange-Point Detection

  43. Test-Time Adaptation for EEG Foundation Models: A Systematic Study under Real-World Distribution Shifts

    Apr 18, 2026Gabriel Jason Lee, Jathurshan Pradeepkumar, Jimeng SunElectroencephalography Foundation ModelsContinual Test-Time Adaptation

  44. Extraction of informative statistical features in the problem of forecasting time series generated by It{ô}-type processes

    Apr 18, 2026Victor Korolev, Mikhail Ivanov, Tatiana Kukanova +4Time SeriesStochastic Differential Equations

  45. TimeRFT: Stimulating Generalizable Time Series Forecasting for TSFMs via Reinforcement Finetuning

    Apr 18, 2026Siyang Li, Yize Chen, Zijie Zhu +4Time Series Foundation ModelsMultivariate Forecasting

  46. The CTLNet for Shanghai Composite Index Prediction

    Apr 18, 2026Haibin JiaoMultivariate Time Series ForecastingHybrid Transformer

  47. TriTS: Time Series Forecasting from a Multimodal Perspective

    Apr 17, 2026Xiang AoMultivariate Time Series ForecastingDiscrete Wavelet Transform

  48. Chronax: A Jax Library for Univariate Statistical Forecasting and Conformal Inference

    Apr 17, 2026Xan Carey, Yash Deshmukh, Aileen Huang +7Multivariate ForecastingChronos

  49. Univariate Channel Fusion for Multivariate Time Series Classification

    Apr 17, 2026Fernando Moro, Vinicius M. A. SouzaTime-Series ClassificationMultimodal Physiological Signals

  50. QuantSightBench: Evaluating LLM Quantitative Forecasting with Prediction Intervals

    Apr 17, 2026Jeremy Qin, Maksym AndriushchenkoLoad ForecastingOverconfidence

  51. Modern Structure-Aware Simplicial Spatiotemporal Neural Network

    Apr 17, 2026Zhaobo Hu, Vincent Gauthier, Mehdi NaimaTemporal Graph Neural NetworksSpatiotemporal

  52. Convolutionally Low-Rank Models with Modified Quantile Regression for Interval Time Series Forecasting

    Apr 17, 2026Miaoxuan Zhu, Yi Yu, Yuyang Li +2Multivariate ForecastingQuantile Regression

  53. EVIL: Evolving Interpretable Algorithms for Zero-Shot Inference on Event Sequences and Time Series with LLMs

    Apr 17, 2026David BerghausInference EngineZero-Shot Inference

  54. MedMamba: Recasting Mamba for Medical Time Series Classification

    Apr 17, 2026ZhengXiao He, Huayu Li, Xiwen Chen +4Time-Series ClassificationState Space Models

  55. MambaSL: Exploring Single-Layer Mamba for Time Series Classification

    Apr 16, 2026Yoo-Min Jung, Leekyung KimBidirectional MambaTime-Series Classification

  56. Assessing the Performance-Efficiency Trade-off of Foundation Models in Probabilistic Electricity Price Forecasting

    Apr 16, 2026Jan Niklas Lettner, Hadeer El Ashhab, Veit Hagenmeyer +1Electricity Price ForecastingTime Series Foundation Models

  57. Fun-TSG: A Function-Driven Multivariate Time Series Generator with Variable-Level Anomaly Labeling

    Apr 14, 2026Pierre Lotte, André Péninou, Olivier TesteTime-Series Anomaly DetectionSynthetic Time Series

  58. Sliding-Window Reordering with Overlap Averaging: A Simple Time-Domain Augmentation for Multivariate Forecasting

    Apr 10, 2026Jafar Bakhshaliyev, Johannes Burchert, Niels Landwehr +1AugmentationMultivariate Forecasting

  59. Channel-wise Retrieval for Multivariate Time Series Forecasting

    Apr 7, 2026Junhyeok Kang, Jun Seo, Soyeon Park +4Multivariate Time Series ForecastingEfficient Inference

  60. A Foundation Model for Instruction-Conditioned In-Context Time Series Tasks

    Mar 23, 2026Anish Saha, Konstantin ShmakovTime Series Foundation ModelsIn-Context Learning