Time Series Representation Learning

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10 papers in the last four weeks, up 100% on the four weeks before. 0.1% of all new papers.

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  1. Towards Financial World Modeling

    Oct 6, 2026Humzah Merchant, Alec Guthrie, Simon Mahns +2Representation LearningTime Series Representation Learning

    University of Chicago · Johns Hopkins University · Brown University

  2. Signature-Based Feature Learning for Human Activity Recognition: A Reproducible Machine Learning Study of Representation, Depth, and Model Choice

    Oct 5, 2026Kamal Jarrar, Jacky Cresson, Christian ParoissinHuman Activity RecognitionTime Series Representation Learning

    LMAP

  3. A Comprehensive Benchmark of Source-Free Universal Domain Adaptation on Time Series Representations

    Sep 30, 2026Romain Mussard, Fannia Pacheco, Maxime Berar +2Source-Free Domain AdaptationDomain Adaptation

    Univ Rouen Normandie, INSA Rouen Normandie, Universit´e Le Havre Normandie, Normandie Univ, LITIS UR 4108, F-76000 Rouen, France

  4. Towards Robust Time Series Learning via Capacity-Centric Modulation

    Sep 30, 2026Siru Zhong, Senzhang Wang, James T. Kwok +1Time Series ClassificationNeural Network Robustness

    Data Science & Analytics Thrust, The Hong Kong University of Science and Technology (GZ), Guangzhou, China · School of Computer Science & Engineering, Central South University, Changsha, China · Dept. of Computer Science & Engineering, The Hong Kong University of Science and Technology, Hong Kong

  5. When, Not How Much: Evaluating Time-Series Foundation Models on Sparse Events

    Sep 30, 2026Daniel Schoess, Florian von WangenheimForecasting BenchmarksTime Series Representation Learning

    ETH Zurich

  6. Geometry-Conditioned Fixed-Scaffold Encoders for Time-Warp Robust Sequence Retrieval

    Sep 29, 2026Cassandra Yang, Yufan TangTemporal IRInvariant Representation Learning

    New York University · Fudan University

  7. Retrieval-Augmented Diffusion Modeling for Stochastic Discount Factor Portfolios

    Sep 28, 2026Kelvin J. L. Koa, Xinyang Li, Ke-Wei HuangQuantitative FinancePortfolio Optimization

    National University of Singapore Asian Institute of Digital Finance

  8. Dynamical Parameters: An Interpretability Framework for Time-Series Foundation Models

    Sep 28, 2026Kang Yang, Gaofeng Dong, Liying Han +1Explainable Time Series ForecastingRepresentation Probing

    Department of Electrical and Computer Engineering University of California, Los Angeles

  9. SwitchPFN: Shared Switching Dynamics for Frozen In-Context Time Series Classification

    Sep 24, 2026Zhenyi Zhu, Jacqueline Pang, Peilin Shen +7Tabular Foundation ModelsTime Series Classification

    The Chinese University of Hong Kong, Hong Kong · Cornell University, USA · Southeast University, China +7

  10. TimeInteract: Towards Real-Time Interactive Intelligence for Streaming Time Series

    Sep 22, 2026Sheng Pan, Yongli Gu, Yiqing Guo +4Time Series QATime Series Representation Learning

    Griffith University · CSIRO

  11. DCRA: Diffusion-Conditioned Representation Alignment for Robust Time-Series Learning

    Sep 14, 2026Wenrui Xu, Anas Enanaa, Keshab K. ParhiEEG Seizure DetectionRepresentation Learning

    University of Minnesota, Twin Cities

  12. Quantile-Led Feature Extraction for Multi-Horizon Predictive Maintenance in Industrial Manufacturing Systems

    Sep 7, 2026David J Poland, Daniele Ravi, Na HelianQuantile RegressionPredictive Maintenance

    Department of Computer Science, University of Hertfordshire, College Lane, Hatfield, AL10 9AB, United Kingdom

  13. Calendar-Structured Sparse Principal Component Analysis for Interpretable Multi-Periodic Electricity Consumption Profiles

    Sep 5, 2026Carlos Quesada-Granja, Tony Castillo-Calzadilla, Carlos Rizo-MaestrePrincipal Component AnalysisStructured Sparsity

    Dept. of Computer Science and Artificial Intelligence, University of Alicante. Ctra. de San Vicente del Raspeig s/n, 03690 San Vicente del Raspeig, Alicante, Spain. · Dept. of Industrial Engineering, University of La Laguna. Camino San Francisco de Paula s/n, 38200 San Cristóbal de La Laguna, Santa Cruz de Tenerife, Spain. · Dept. of Architectural Constructions, University of Alicante. Ctra. de San Vicente del Raspeig s/n, 03690 San Vicente del Raspeig, Alicante, Spain.

  14. SMart: A Multi-source Multi-phase Time Series Representation Transfer Framework

    Sep 2, 2026Fang He, Wang-chien LeeTime Series Representation LearningTransfer Learning

    Department of Computer Science and Engineering, The Pennsylvania State University, PA, USA

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

    Aug 31, 2026Chuanhang Qiu, Yanran Xu, Yue Wang +1Class-Imbalanced LearningData Augmentation

    School of Electronics and Computer Science University of Southampton Southampton, United Kingdom

  16. Liquid Gated Attention

    Aug 31, 2026Yiheng Jiang, Yuanbo Xu, Yongjian YangGated AttentionLinear Attention

    Mobile Intelligent Computing Laboratory, College of Computer Science and Technology, Jilin University, China

  17. CLaST: Context-aware Contrastive VAE for Probabilistic Time Series Forecasting

    Aug 20, 2026Alexander Marusov, Dmitry Anikin, Petr Sokerin +3Variational AutoencodersMultivariate Time Series Forecasting

    Applied AI Institute Moscow, Russia

  18. 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 +3RUL EstimationUnsupervised Representation Learning

    Comtrade 360 d.o.o., Letališka cesta 29b, Ljubljana, 1000, Slovenia · Comtrade AI GmbH, Grafenauweg 8, Zug, 6300, Switzerland · Alma Mater Studiorum – Università di Bologna, Department of Electrical, Electronic, and Information Engineering (DEI), Viale del Risorgimento 2, Bologna, 40136, Italy +2

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

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

    Faculty of Computer Science, AGH University of Krakow, al. A. Mickiewicza 30, 30-059 Krakow, Poland · Department of Computer Science, American University, 4400 Massachusetts Ave NW, Washington, DC 20016, USA

  20. Interpretable EEG biomarkers with bag-of-waves: Spatial and temporal waveform dictionaries for low-data regimes

    Jul 24, 2026Athanasios Papastathopoulos-Katsaros, Steven T. Lee, Lin Yao +4ElectroencephalographyInterpretable ML

    Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA · Jan and Dan Duncan Neurological Research Institute, Texas Children’s Hospital, Houston, TX, USA · Department of Child Neurology and Developmental Neurosciences, Texas Children’s Hospital, Houston, TX, USA +3

  21. Physically-Relevant Information Learning in High-Dimensional Time-Derivatives Spaces

    Jul 6, 2026Domiziano Doria, Matteo Becchi, Giovanni M. PavanDynamical SystemsTime Series Representation Learning

    Department of Applied Science and Technology, Politecnico di Torino, Torino 10129, Italy

  22. Omni-Sleep: A Sleep Foundation Model via Hierarchical Contrastive Learning of CNS-ANS Dynamics

    Jul 4, 2026Zhoujie Hou, Song Wang, Kexin Lou +3Sleep Stage ClassificationLatent Dynamics Modeling

    Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, China · Omni-Intelligence, Shenzhen, China · Shenzhen Loop Area Institute, Shenzhen, China

  23. Missingness as Signal: Channel-Independent Spectrogram Learning for Clinical Time Series Prediction

    Jul 3, 2026Soyeon Park, Charmgil HongClinical Outcome PredictionTime Series Representation Learning

    Handong Global University Pohang, Republic of Korea

  24. Aionoscope: Debugging Latent-State Accessibility in Time-Series Representations

    Jul 1, 2026Alexander Chemeris, Ming Jin, Randall BalestrieroSynthetic Benchmark GenerationTime Series Representation Learning

    Langotime South Africa · Griffith University Australia · Brown University United States

  25. Domain-Informed Multi-View Self-Distillation for Astronomical Light-Curve Representation Learning with JEPA

    Jun 26, 2026Yicheng RuiIrregular Time-Series ModelingSelf-Supervised Time Series Representation Learning

    Tsung-Dao Lee Institute, Shanghai Jiao Tong University, Shanghai 201210, China

  26. Are Time-Series Foundation Models Ready for E-Nose Data? An Empirical Assessment of Their Embeddings

    Jun 26, 2026Taeyeong Choi, Mohammed KamruzzamanTime Series ClassificationTime Series Representation Learning

    Department of Information Technology Kennesaw State University Marietta, GA 30060, USA · Department of Agricultural and Biological Engineering University of Illinois Urbana-Champaign Urbana, IL 61801, USA

  27. Naturalness Predicts but Does Not Cause Transferability in Image Encodings of Real-World Streams

    Jun 24, 2026Faruk Alpay, Baris BasaranTime Series ClassificationTransfer Learning

    Department of Computer Engineering, Bahçeşehir University, Istanbul, Turkey

  28. SPOTR: Spatio-temporal Pooling One-Token Reconstruction for Universal Physiological Signal Self-supervised Learning

    Jun 20, 2026Yiyu Gui, Mingzhi Chen, Yuesheng Zhu +2Representation LearningSelf-Supervised Learning

    New Cornerstone Science Laboratory, Guangdong Provincial Key Laboratory of In-Memory Computing Chips, Shenzhen Graduate School, Peking University, Shenzhen, China · Guangdong Provincial Key Laboratory of Ultra High Definition Immersive Media Technology, Shenzhen Graduate School, Peking University, Shenzhen, China

  29. Beyond Tokenization: Direct Timestep Embedding and Contrastive Alignment for Time-Series Question Answering

    Jun 17, 2026Yafeng Wu, Huu Hiep Nguyen, Thin Nguyen +1Time Series ReasoningTime Series QA

    Deakin University

  30. A Stationarity-and-Coupling Criterion for Training-Free Time-Lagged Spectral Embeddings of Multivariate Time Series

    Jun 11, 2026Siddharth Pal, Viktoria RojkovaMultivariate Time Series ClassificationTime Series Classification

  31. Representing Time Series as Structured Programs for LLM Reasoning

    Jun 10, 2026Jaeho Kim, Changhun Oh, Seokhyun Lee +2Time Series ReasoningTime Series QA

    Korea University · Mila, University of Montreal

  32. One Step Closer to Ground Truth: A Multi-Scale Residual-Aware Representation Learning Pipeline for Predicting Time Series Data

    Jun 9, 2026Amrijit Biswas, Mustafa Kamal, Robin Krambroeckers +4Multivariate Time Series ForecastingResidual Learning

    Artificial Intelligence Department, RobotBulls Labs Geneva, Switzerland · Department of Electrical and Computer Engineering, North South University Dhaka, Bangladesh

  33. LakeFM: Toward a Foundation Model for Aquatic Ecosystems Using Irregular Multivariate Multi-depth Time Series Data

    Jun 9, 2026Abhilash Neog, Sepideh Fatemi, Medha Sawhney +9Irregular Time-Series ModelingMultivariate Time Series Forecasting

    Virginia Tech Blacksburg, VA, USA · Grand Valley State University Muskegon, MI, USA · University of Wisconsin - Madison Madison, WI, USA +2

  34. PAI: Preserving Amplitude Information in Representation-Based Time-Series Anomaly Detection

    Jun 8, 2026Kang Zhang, Wei Jian Lau, Shoushou Ren +3Time Series Representation LearningTime-Series Anomaly Detection

    1HUAWEI · 2KAIST

  35. Generating Financial Time Series by Matching Random Convolutional Features

    Jun 3, 2026Konrad J. Mueller, Nikita Zozoulenko, Ben Wood +2Time Series GenerationRandom Feature Methods

    Imperial College London · JPMorgan Chase & Co.‡

  36. An explainable hierarchical self attention-based approach for tremor detection in the time domain

    May 30, 2026Timothy Odonga, Jeanne M. Powell, Mark Saad +5Time Series ClassificationTime Series Representation Learning

    Department of Biomedical Informatics, School of Medicine, Emory University, Atlanta, GA, USA · Jean and Paul Amos Parkinson’s Disease and Movement Disorders Program, Department of Neurology, School of Medicine, Emory University, Atlanta, GA, USA · Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA, USA

  37. Giving Sensors a Voice: Multimodal JEPA for Semantic Time-Series Embeddings

    May 29, 2026Utsav Dutta, Gerardo Pastrana, Sina Khoshfetrat Pakazad +1Multivariate Time Series ForecastingJoint-Embedding Predictive Architecture

    C3 AI, Redwood City, CA, USA

  38. Learning Hyperspherical Time-Frequency Representations for Time-Series Out-of-Distribution Detection

    May 29, 2026Willian T. Lunardi, Samridha Shrestha, Martin AndreoniHyperspherical Representation LearningDistribution Shift Detection

    Technology Innovation Institute, Abu Dhabi, United Arab Emirates · Khalifa University, Abu Dhabi, United Arab Emirates

  39. Learning Transferable Predictability Representations

    May 28, 2026Diyali Goswami, Auroop R. GangulyDynamical SystemsOrdinal Regression

    Sustainability and Data Sciences Laboratory (SDS Lab), Northeastern University, Boston, MA, USA · AI4CaS: AI for Climate and Sustainability, Institute for Experiential AI, Northeastern University, Boston, MA, USA · Pacific Northwest National Laboratory (PNNL), Richland, WA, USA

  40. Faithful Embeddings of Irregular and Asynchronous Data for Online Log-NCDEs

    May 28, 2026Benjamin Walker, Alexandre Bloch, Lingyi Yang +2Irregular Time-Series ModelingNeural Controlled Differential Equations

    Mathematical Institute University of Oxford · School of Mathematical Sciences University of Nottingham · Department of Mathematics, Imperial College London

  41. QuITE: Query-Based Irregular Time Series Embedding

    May 27, 2026Junghoon LimIrregular Time-Series ModelingMultivariate Time Series Forecasting

    SK Shieldus, Seongnam, Republic of Korea

  42. STaT: Resolving Shape Distortion in Non-Stationary Time Series via Tri-Modal Synergy

    May 25, 2026Hui Cheng, Jinsheng Guo, Zhenhao Weng +2Non-Stationary Time Series ForecastingMultimodal Fusion

    Hefei University of Technology Hefei, China

  43. Continuity and Ordinality Matter: Constraining Time Series Tokens for Effective Time Series Analysis with Large Language Models

    May 22, 2026Musheng Li, Ziying Zhang, Cheng jin +1Time Series ForecastingTime Series Representation Learning

    Department of Electronic Engineering Tsinghua University

  44. Dynamic Hypergraph Representation Learning for Multivariate Time Series without Prior Knowledge

    May 21, 2026Marco Gregnanin, Johannes De Smedt, Giorgio Gnecco +1Multivariate Time Series ForecastingGraph Structure Learning

    IMT School for Advanced Studies Lucca · KU Leuven · University of Chieti-Pescara

  45. CASE-NET: Deep Spatio-Temporal Representation Learning via Causal Attention and Channel Recalibration for Multivariate Time Series Classification

    May 21, 2026Fan Zhang, Yating Cui, Hua WangMultivariate Time Series ClassificationTime Series Classification

    Shandong Technology and Business University · Ludong University

  46. LLM Pretraining Shapes a Generalizable Manifold: Insights into Cross-Modal Transfer to Time Series

    May 19, 2026Alexis Roger, Prateek Humane, Zhenghan Tai +4Cross-Modal LearningLanguage Model Pretraining

    Université de Montréal Mila - Quebec AI Institute

  47. PIMSM: Physics-Informed Multi-Scale Mamba for Stable Neural Representations under Distribution Shift

    May 8, 2026Sangyoon Bae, Shinjae Yoo, Jiook ChaDomain GeneralizationPhysics-Informed ML

    Interdisciplinary Program in Artificial Intelligence Seoul National University Seoul, South Korea, 08826 · Department of Psychology Seoul National University Seoul, South Korea, 08826

  48. Preliminary Insights in Chronos Frequency Data Understanding and Reconstruction

    May 7, 2026Alessandro Pagani, Marco Cominelli, Liying Han +11Frequency-Domain Feature LearningTime Series Representation Learning

    DII, University of Brescia, Italy. · DEIB, Politecnico di Milano, Italy. · ECE Department, University of California, Los Angeles, USA. +6

  49. The Predictive-Causal Gap: An Impossibility Theorem and Large-Scale Neural Evidence

    May 6, 2026Kejun LiuCausal Representation LearningPredictive Representation Learning

    State Key Laboratory of Bioinspired Interface Material Science, Institute of Nano & Functional Materials, Soochow University, Suzhou 215123, China

  50. From Packets to Patterns: Interpreting Encrypted Network Traffic as Longitudinal Behavioral Signals

    May 2, 2026Rameen Mahmood, Omar El Shahawy, Souptik Barua +5Encrypted Network Traffic AnalysisTime Series Representation Learning

    New York University, New York, New York, USA · NYU Langone Health, New York, New York, USA · NYU Grossman School of Medicine, New York, New York, USA +3

  51. Continuous Temporal Representations of Event-Based Signals via Interference-Based Wave Modeling

    May 2, 2026Magnus BengtssonRepresentation LearningTime Series Representation Learning

    Department of Engineering, University of Borås, Borås, Sweden

  52. CGM-JEPA: Learning Consistent Continuous Glucose Monitor Representations via Predictive Self-Supervised Pretraining

    May 1, 2026Hada Melino Muhammad, Zechen Li, Flora Salim +1Cross-Modal Representation LearningSelf-Supervised Time Series Representation Learning

    University of New South Wales · Google Research

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

    Apr 30, 2026Huayu Li, ZhengXiao He, Xiwen Chen +4Disentangled Representation LearningRate-Distortion Theory

    University of Arizona, AZ, USA · Morgan Stanley, NY, USA · Clemson University, SC, USA +2

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

    Apr 29, 2026Madhumitha Venkatesan, Xuyang Chen, Dongyu LiuData VisualizationTime Series Classification

    University of California, Davis Davis, United States

  55. Leveraging Imperfect Medical Data: A Manifold-Consistent Spatio-Temporal Network for Sensor-based Human Activity Recognition

    Apr 29, 2026Jiangtao Fan, Anish Jindal, Amir Atapour-AbarghoueiHuman Activity RecognitionWearable Sensing

    Department of Computer Science, Durham University, Durham, DH1 3LE, UK

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

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

    Centre for Data Science and Artificial Intelligence & School of Engineering and Computer Science, Victoria University of Wellington, PO Box 600, Wellington 6140, New Zealand

  57. Continuous ageing trajectory representations for knee-aware lifetime prediction of lithium-ion batteries across heterogeneous dataset

    Apr 17, 2026Agnieszka Pregowska, Stefan MarynowiczRUL EstimationDomain Generalization

  58. Hyperspectral Trajectory Image for Multi-Month Trajectory Anomaly Detection

    Mar 26, 2026Md Awsafur Rahman, Chandrakanth Gudavalli, Hardik Prajapati +1Anomaly LocalizationTransformer Attention

    UC Santa Barbara, USA

  59. PaAno: Patch-Based Representation Learning for Time-Series Anomaly Detection

    Feb 1, 2026Jinju Park, Seokho KangSelf-Supervised Time Series Representation LearningTime Series Representation Learning

    Department of Industrial Engineering, Sungkyunkwan University

  60. Unlocking Pretrained Vision Transformers for Time Series Classification

    Jun 10, 2025Simon Roschmann, Quentin Bouniot, Vasilii Feofanov +2Time Series ClassificationVision Transformer

    Helmholtz Munich · Technical University of Munich · Munich Center for Machine Learning +2