Time-Series Anomaly Detection

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Overview

Time-series anomaly detection seeks unusual points, intervals, or changes in relationships among signals, often when labeled failures are scarce and early warnings matter. Common approaches forecast or reconstruct normal behavior and flag large residuals; others use density models, learned representations, graphs, causal structure, or ensembles to capture dependencies and changing operating regimes. Research spans univariate and multivariate benchmarks as well as industrial, medical, network, and edge-device settings, with growing attention to localization, explanations, and compute limits. A central tension is that results depend heavily on evaluation metrics, thresholds, windowing, and anomaly types, while strong benchmark scores may not carry over to distribution shifts or real-time deployment.

Latest papers

CardsList

208 papers35 papers in the last four weeks, up 169% on the four weeks before. 0.2% of all new papers.

  1. Context-Aware Graph Attention for Unsupervised Telco Anomaly Detection

    Apr 29, 2026Sara Malacarne, Eirik Hoel-Høiseth, Erlend Aune +2Graph Attention NetworksReconstruction-Based Anomaly Detection

    Telenor Research and Innovation, Norway · Norwegian University of Science and Technology (NTNU), Norway · Hance, Norway +2

  2. Avionic Main Fuel Pump Simulation and Fault-Diagnosis Benchmark

    Apr 23, 2026Felix Leonhard Janzen, Lukas Moddemann, Alexander Diedrich +1Fault DetectionUnsupervised Anomaly Detection

    Institute of Artificial Intelligence

  3. Performance Anomaly Detection in Athletics: A Benchmarking System with Visual Analytics

    Apr 23, 2026Blessed Madukoma, Prasenjit MitraBenchmark DesignTime-Series Anomaly Detection

    Carnegie Mellon University Africa · Kigali, Rwanda

  4. A Hierarchical Ensemble Pipeline for Anomaly Detection in ESA Satellite Telemetry

    Apr 22, 2026Lorenzo Riccardo Allegrini, Geremia PompeiEnsemble LearningTime-Series Anomaly Detection

    ContinualIST, Pisa, Italy · University of Pisa, Department of Computer Science, Pisa, Italy

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

    Apr 22, 2026Natalia Martinez Gil, Fearghal O'Donncha, Wesley M. Gifford +3Interpretable Anomaly DetectionIndustrial Anomaly Detection

    IBM Research

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

    Apr 20, 2026Pooyan Khosravinia, João Gama, Bruno VelosoAnomaly LocalizationTime-Series Anomaly Detection

  7. Conditional Attribution for Root Cause Analysis in Time-Series Anomaly Detection

    Apr 19, 2026Shashank Mishra, Karan Patil, Cedric Schockaert +2Feature AttributionInterpretable Anomaly Detection

    German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany · Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau, Germany · Paul Wurth S.A, Luxembourg

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

    Apr 19, 2026Kadir-Kaan Özer, René Ebeling, Markus EnzweilerReconstruction-Based Anomaly DetectionTime-Series Anomaly Detection

    Mercedes-Benz AG, Germany · Institute for Intelligent Systems, Esslingen University of Applied Sciences, Germany

  9. Unsupervised Anomaly Detection in Process-Complex Industrial Time Series: A Real-World Case Study

    Apr 15, 2026Sergej Krasnikov, Lukas Meitz, Samineh Bagheri +3Time-Series Anomaly DetectionIndustrial Anomaly Detection

    Universität Augsburg Augsburg, Germany · Technische Hochschule Augsburg Augsburg, Germany · Independent Researcher Karlsruhe, Germany

  10. ASTER: Latent Pseudo-Anomaly Generation for Unsupervised Time-Series Anomaly Detection

    Apr 15, 2026Romain Hermary, Samet Hicsonmez, Dan Pineau +2LLM-Based Time Series Anomaly DetectionTime-Series Anomaly Detection

    University of Luxembourg, Luxembourg

  11. Anomaly Detection in IEC-61850 GOOSE Networks: Evaluating Unsupervised and Temporal Learning for Real-Time Intrusion Detection

    Apr 14, 2026Joseph MooreNetwork Intrusion DetectionUnsupervised Anomaly Detection

    Computer Science, Boise State University, Boise, Idaho USA

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

    Apr 14, 2026Pierre Lotte, André Péninou, Olivier TesteTime Series GenerationAnomaly Localization

    EPE UT, IRIT · UT2J, IRIT-SIG, IRIT · IRIT-SIG, IRIT, UT2J, Comue de Toulouse

  13. Automated Batch Distillation Process Simulation for a Large Hybrid Dataset for Deep Anomaly Detection

    Apr 10, 2026Jennifer Werner, Justus Arweiler, Indra Jungjohann +4Synthetic Data GenerationIndustrial Anomaly Detection

    Fraunhofer Institute for Industrial Mathematics (ITWM), Kaiserslautern, Germany · Laboratory of Engineering Thermodynamics (LTD), RPTU Kaiserslautern, Germany

  14. ATSS: Detecting AI-Generated Videos via Anomalous Temporal Self-Similarity

    Apr 5, 2026Hang Wang, Chao Shen, Lei Zhang +1Deepfake DetectionMultimodal Anomaly Detection

    Xi’an Jiaotong University, Xi’an, China · The Hong Kong Polytechnic University, Hong Kong, China · School of Engineering and Technology, University of Washington, Tacoma, WA 98402, USA

  15. Towards Intelligent Energy Security: A Unified Spatio-Temporal and Graph Learning Framework for Scalable Electricity Theft Detection in Smart Grids

    Apr 3, 2026AbdulQoyum A. Olowookere, Usman A. Oguntola, Ebenezer. Leke Odekanle +2Power SystemsAnomaly Detection

    Department of Chemical and Petroleum Engineering, Abiola Ajimobi Technical University, Ibadan, Oyo State, Nigeria. · Department of Computer Science, Abiola Ajimobi Technical University, Ibadan, Oyo State, Nigeria

  16. Matrix Profile for Time-Series Anomaly Detection: A Reproducible Open-Source Benchmark on TSB-AD

    Apr 2, 2026Chin-Chia Michael YehTime-Series Anomaly DetectionUnsupervised Anomaly Detection

  17. CANDI: Curated Test-Time Adaptation for Multivariate Time-Series Anomaly Detection Under Distribution Shift

    Apr 2, 2026HyunGi Kim, Jisoo Mok, Hyungyu Lee +2Time-Series Anomaly DetectionAnomaly Detection

    Department of ECE, Seoul National University · DGIST · IPAI, Seoul National University +1

  18. Deep Learning-Based Anomaly Detection in Spacecraft Telemetry on Edge Devices

    Mar 31, 2026Christopher Goetze, Tim Schlippe, Daniel LakeyAnomaly DetectionTime-Series Anomaly Detection

    IU International University of Applied Sciences, Germany

  19. IMPACT: Influence Modeling for Open-Set Time Series Anomaly Detection

    Mar 31, 2026Xiaohui Zhou, Yijie Wang, Hongzuo Xu +3Time-Series Anomaly DetectionSynthetic Anomaly Generation

    National Key Laboratory of Parallel and Distributed Computing · College of Computer Science and Technology, National University of Defense Technology · Intelligent Game and Decision Lab (IGDL) +2

  20. Multivariate Time Series Anomaly Detection via Dual-Branch Reconstruction and Autoregressive Flow-based Residual Density Estimation

    Mar 29, 2026Jun Liu, Ying Chen, Ziqian Lu +2Time-Series Anomaly DetectionAnomaly Detection

    Zhejiang University, Hangzhou, China · Zhejiang Sci-Tech University, Hangzhou, China

  21. VAN-AD: Visual Masked Autoencoder with Normalizing Flow For Time Series Anomaly Detection

    Mar 27, 2026PengYu Chen, Shang Wan, Xiaohou Shi +3Masked AutoencodersVision Foundation Model Adaptation

    School of Computer Science (National Pilot Software Engineering School), Beijing University of Posts and Telecommunications, Beijing 100876, China · China Telecom Research Institute Beijing, China · Department of Computer Science, Missouri University of Science and Technology, Rolla, MO 65409 USA

  22. ARTA: Adversarial-Robust Multivariate Time--Series Anomaly Detection via Sparsity-Constrained Perturbations

    Mar 26, 2026Hadi Hojjati, Narges ArmanfardTime-Series Anomaly DetectionAdversarial Robustness

    McGill University, MILA - Quebec AI Institute, Montreal, Quebec, Canada

  23. EngineAD: A Real-World Vehicle Engine Anomaly Detection Dataset

    Mar 26, 2026Hadi Hojjati, Christopher Roth, Rory Woods +2Anomaly DetectionTime-Series Anomaly Detection

    Department of Electrical and Computer Engineering, McGill University, CA · MILA - Quebec AI Institute, CA · Preteckt Inc., Hamilton, ON, Canada

  24. 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

  25. A Heterogeneous Long-Micro Scale Cascading Architecture for General Aviation Health Management

    Mar 24, 2026Xinhang Chen, Zhihuan Wei, Yang Hu +3Fault DiagnosisPredictive Maintenance

  26. Towards Multimodal Time Series Anomaly Detection with Semantic Alignment and Condensed Interaction

    Mar 23, 2026Shiyan Hu, Jianxin Jin, Yang Shu +3Multimodal Anomaly DetectionTime-Series Anomaly Detection

    East China Normal University

  27. Long-Term Outlier Prediction Through Outlier Score Modeling

    Mar 22, 2026Yuma Aoki, Joon Park, Koh Takeuchi +6Time-Series Anomaly DetectionUnsupervised Anomaly Detection

    Nara Institute of Science and Technology · Kyoto University · Panasonic Holdings Corporation

  28. Hybrid Autoencoder-Isolation Forest approach for time series anomaly detection in C70XP cyclotron operation data at ARRONAX

    Mar 20, 2026F Basbous, F Poirier, F Haddad +1Time-Series Anomaly DetectionIndustrial Anomaly Detection

    Nantes Univ, GIP ARRONAX · ARRONAX, Saint Herblain, France · also at Nantes Université, Nantes, France +5

  29. Revisiting OmniAnomaly for Anomaly Detection: performance metrics and comparison with PCA-based models

    Mar 19, 2026Bruna Alves, Ana Martins, Armando J. Pinho +1Time-Series Anomaly Detection

    IEETA/DETI/LASI, University of Aveiro, 3810-193 Aveiro, Portugal

  30. Unified Taxonomy for Multivariate Time Series Anomaly Detection using Deep Learning

    Mar 19, 2026Bruna Alves, Armando J. Pinho, Sónia GouveiaTime-Series Anomaly DetectionAnomaly Detection

    IEETA/DETI/LASI, University of Aveiro, 3810-193, Aveiro, Portugal.