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