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. ChronosAD: Leveraging Time Series Foundation Models for Accurate Anomaly Detection

    May 31, 2026Uzair Khan, Luigi Capogrosso, Francesco Biondani +4Industrial Anomaly DetectionTime-Series Anomaly Detection

    University of Verona · Interdisciplinary Transformation University of Austria · ETH Zurich

  2. Benchmarking Recursive-Collapse Warning Claims Under Matched False-Positive Control

    May 29, 2026David MullettBenchmark DesignModel Collapse

    Independent Researcher

  3. 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

  4. Lightweight CNN-Based Anomaly Detection for High Voltage Converter Modulators in the Spallation Neutron Source

    May 29, 2026Alberto D. Cencillo, Leonardo Concepción, Julián Luengo +1Industrial Anomaly DetectionConvolutional Neural Networks

    Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI) · Department of Computer Science and Artificial Intelligence (DECSAI), University of Granada, Granada, 18071, Spain

  5. Tiny but Trusted: Efficient Vision-Language Reasoning for Time-Series Anomaly Detection

    May 28, 2026Xiaona Zhou, Muntasir Wahed, Tianjiao Yu +2LLM-Based Time Series Anomaly DetectionInterpretable Anomaly Detection

    University of Illinois Urbana-Champaign · Sandia National Laboratories

  6. Benchmarking Inductive Biases for Multivariate Time-Series Anomaly Detection with a Robust Multi-View Channel-Graph Detector

    May 27, 2026Junhao Wei, Yanxiao Li, Bidong Chen +9Graph-Based Anomaly DetectionMulti-View Learning

    Faculty of Applied Sciences, Macao Polytechnic University, Macao SAR, China · 2Macao Polytechnic University, Macao SAR, China

  7. Patched-DeltaNet: Token-Level Event-Driven Memory for Linear-Time Anomaly Detection

    May 27, 2026Tae-Gyun Lee, Junyoung Park, Kyu Won HanGated Delta NetworksTime-Series Anomaly Detection

    Electronics and Telecommunications Research Institute, South Korea

  8. Federated Learning for Multivariate Time Series Anomaly Detection in Industrial Automation

    May 26, 2026Khayyam Nosrati, Martin Uray, Saverio Messineo +2Industrial Anomaly DetectionTime-Series Anomaly Detection

    Josef Ressel Centre for Intelligent and Secure Industrial Automation, Salzburg University of Applied Sciences, Austria · Department of Artificial Intelligence and Human Interfaces, Paris Lodron University of Salzburg, Austria

  9. Bridging Classification and Reconstruction: Cooperative Time Series Anomaly Detection

    May 25, 2026Qideng Tang, Dai Chaofan, Wubin Ma +5Reconstruction-Based Anomaly DetectionTime-Series Anomaly Detection

    National Key Laboratory of Information Systems Engineering, National University of Defense Technology Changsha, Hunan, China · Also with Zhejiang Key Laboratory of Space Information Sensing and Transmission, Hangzhou Dianzi University. · College of Systems Engineering, National University of Defense Technology Changsha, Hunan, China +2

  10. ASTRO: Adaptive Spatio-Temporal Reinforcement Optimization for GNN Powered Anomly Detection in Cyber Physical Systems

    May 24, 2026Rai Ali Yar, Umaisa Lail, Anwar ShahIndustrial Anomaly DetectionOnline Anomaly Detection

    Department of Computer Science, FAST NUCES, Development Sector, Faisalabad, Pakistan · Department of Information Technology, Riphah International University, Faisalabad, Pakistan

  11. Contrast to Detect: Dynamic Graph Contrastive Regularization for Unsupervised Anomaly Detection in Multivariate Time Series

    May 22, 2026Yunhua Pei, Zixing Song, Jin Zheng +1Dynamic Graph LearningUnsupervised Anomaly Detection

    School of Computer Science, University of Bristol, Bristol, UK · School of Engineering Mathematics, University of Bristol, Bristol, UK

  12. VACE: Learning Geometrically Structured Representations for Time Series Anomaly Detection

    May 22, 2026Alberto D. Cencillo, Leonardo Concepción, Isaac Triguero +1Self-Supervised Time Series Representation LearningGeometric Representation Learning

    1Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI) · Department of Computer Science and Artificial Intelligence (DECSAI), University of Granada, Granada, 18071, Spain

  13. CALAD: Channel-Aware contrastive Learning for multivariate time series Anomaly Detection

    May 22, 2026Jaehyeop Hong, Youngbum HurContrastive LearningSelf-Supervised Time Series Representation Learning

    Department of Industrial Engineering, Inha University, Incheon, Republic of Korea

  14. Self-Supervised ConvLSTM for Fermi Large Area Telescope Transient Detection

    May 21, 2026Alberto Garinei, Stefano Speziali, Alessandro Vispa +11Convolutional LSTMHigh-Energy Physics

    Idea-Re S.r.l., 06125, Perugia, Italy · bDipartimento Scienze Ingegneristiche, Università Guglielmo Marconi, 00193, Rome, Italy · cIstituto Nazionale Fisica Nucleare, sezione di Perugia, 06123, Perugia, Italy +1

  15. Latent Geometry as a Structural Monitor: Eigenspace Alignment for Anomaly Detection in Anonymity Networks

    May 19, 2026Vaibhav ChhabraOnline Anomaly DetectionCybersecurity

    USPTO Patent #64/034,500

  16. UTOPYA: A Multimodal Deep Learning Framework for Physics-Informed Anomaly Detection and Time-Series Prediction

    May 18, 2026Robson W. S. Pessoa, Julien Amblard, Alessandra Russo +1Multivariate Time Series ForecastingIndustrial Anomaly Detection

    aDepartment of Chemical Engineering, Norwegian University of Science and Technology2026 (NTNU), Trondheim, Norway · bDepartment of Computing, Imperial College London, London, United Kingdom

  17. POST: Prior-Observation Adversarial Learning of Spatio-Temporal Associations for Multivariate Time Series Anomaly Detection

    May 18, 2026Suofei Zhang, Yaxuan Zheng, Haifeng HuAnomaly LocalizationTime-Series Anomaly Detection

    School of Internet of Things, Nanjing University of Posts and Telecommunications, Nanjing 210003, China · National Engineering Research Center of Communications and Networking, Nanjing University of Posts and Telecommunications, Nanjing 210003, China

  18. Causal Anomaly Detection for Lithium-Ion Battery Degradation

    May 17, 2026Dieter W. Heermann, Hagen HeermannPredictive MaintenanceTime-Series Anomaly Detection

    Institute for Theoretical Physics, Heidelberg University, Philosophenweg 19, D-69120 Heidelberg, Germany · Intilion GmbH, Wollmarktstraße 115c, D-33098 Paderborn, Germany

  19. Latency-Aware Deep Learning Benchmark for Real-Time Cyber-Physical Attack and Fault Classification in Inverter-Dominated Power Grids

    May 17, 2026Emad Abukhousa, Saman Zonouz, A. P. Sakis MeliopoulosEfficient Neural Network InferenceTime Series Classification

    School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA

  20. Uncertainty-Driven Anomaly Detection for Psychotic Relapse Using Smartwatches: Forecasting and Multi-Task Learning Fusion

    May 13, 2026Nikolaos Tsalkitzis, Panagiotis P. Filntisis, Petros Maragos +1Wearable Health MonitoringTime-Series Anomaly Detection

    School of ECE, National Technical University of Athens, Greece · Robotics Institute, Athena Research and Innovation Center, Greece · HERON - Hellenic Robotics Center of Excellence, Athens, Greece

  21. Learning Unified Representations of Normalcy for Time Series Anomaly Detection

    May 10, 2026Prithul Sarker, Sushmita Sarker, Nicholas G. Murray +1Reconstruction-Based Anomaly DetectionUnsupervised Anomaly Detection

    University of Nevada, Reno

  22. FactoryNet: A Large-Scale Dataset toward Industrial Time-Series Foundation Models

    May 9, 2026Jonas Petersen, Pratik Jawahar, Riccardo Maggioni +11ManufacturingIndustrial Anomaly Detection

    Forgis · ETH Zurich · Cairo University +3

  23. Transformer autoencoder with local attention for sparse and irregular time series with application on risk estimation

    May 9, 2026Panteleimon RodisIrregular Time-Series ModelingAutoencoders

    University of Macedonia, Greece

  24. On the Tradeoffs of On-Device Generative Models in Federated Predictive Maintenance Systems

    May 8, 2026Usevalad Milasheuski, Piero Baraldi, Enrico Zio +1Communication-Efficient Distributed TrainingPredictive Maintenance

    Consiglio Nazionale delle Ricerche, IEIIT institute, 20133 Milan, Italy · Dipartimento di Elettronica, Informazione e Bioingegneria (DEIB), Politecnico di Milano, 20133 Milan, Italy · Department of Energy, Politecnico di Milano, 20156 Milan, Italy +1

  25. Fortifying Time Series: DTW-Certified Robust Anomaly Detection

    May 8, 2026Shijie Liu, Tansu Alpcan, Christopher Leckie +1Adversarial RobustnessCertified Robustness

    Department of Electrical and Electronic Engineering University of Melbourne, Melbourne, Australia · School of Computing and Information Systems University of Melbourne, Melbourne, Australia

  26. Detecting Time Series Anomalies Like an Expert: A Multi-Agent LLM Framework with Specialized Analyzers

    May 7, 2026Hyeongwon Kang, Jeongseob Kim, Jinwoo Park +1LLM-Based Time Series Anomaly DetectionInterpretable Anomaly Detection

    Department of Industrial and Management Engineering Korea University · Mirae Asset Securities · Department of Industrial Engineering Seoul National University

  27. WATCH: Wide-Area Archaeological Site Tracking for Change Detection

    May 4, 2026Girmaw Abebe Tadesse, Titien Bartette, Andrew Hassanali +7Geospatial Foundation ModelsRemote Sensing Change Detection

    Microsoft AI for Good Research Lab · Iconem, Paris, France · Planet Labs PBC

  28. Scalable Context-Aware Graph Attention for Unsupervised Anomaly Detection in Large-Scale Mobile Networks

    May 1, 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

  29. Selfie-Capture Dynamics as an Auxiliary Signal Against Deepfakes and Injection Attacks for Mobile Identity Verification

    Apr 30, 2026Erkka Rantahalvari, Olli Silvén, Zinelabidine Boulkenafet +1Biometric IdentificationTime Series Classification

    Candour Oy, Oulu, Finland · University of Oulu, Oulu, Finland

  30. PhaseNet++: Phase-Aware Frequency-Domain Anomaly Detection for Industrial Control Systems via Phase Coherence Graphs

    Apr 30, 2026Raviteja Bommireddy, Varshith Bandaru, Lohith Pakala +1Industrial Anomaly DetectionAnomaly Detection

    Department of CSE IIITDM Kancheepuram Chennai, India