Time-Series Anomaly Detection

Ask about this topic

Momentum

12 papers in the last four weeks, against 1 the four weeks before. 0.1% of all new papers.

Jul 13Week of Sep 28
View on map

Latest papers 71

All topics
CardsList

  1. Normality Constraint Learning: Adapting Foundation Models for Time Series Anomaly Detection

    Oct 5, 2026Xiaohui Zhou, Yijie Wang, Hongzuo Xu +2Time-Series Anomaly DetectionTime Series Foundation Models

    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) +1

  2. Anlu: Enabling In-Context Time Series Anomaly Detection in Foundation Models via Counterfactual Supervision

    Oct 5, 2026Tian Lan, Yifei Gao, Yimeng Lu +5Time-Series Anomaly DetectionTime Series Foundation Models

    Department of Industrial Engineering, Tsinghua University · Huawei

  3. Have an LLM Write Your Anomaly Detector: Autonomous Discovery of Compact, Interpretable Detectors for Time Series

    Oct 1, 2026David BerghausTime-Series Anomaly DetectionUnsupervised Detection

    Lamarr Institute Germany · Fraunhofer IAIS Germany

  4. Detect, Explain, Interpret: An End-to-End Benchmark for Time Series Anomaly Detection, Explainability and Interpretability

    Oct 1, 2026Roberto Stanzione, Jules Barbe, Magali Parrino +2Time-Series Anomaly DetectionTime Series

    Inria, ENS, CNRS, PSL Paris, France · Scality Paris, France · Inria, ENS, CNRS, PSL, EDF Paris, France

  5. Generalist Representation, Specialist Detection: TS-Router for Time-Series Anomaly Detection

    Oct 1, 2026Tian Lan, Yifei Gao, Yimeng Lu +6Time-Series Anomaly DetectionGraph Anomaly Detection

    Department of Industrial Engineering Tsinghua University · Huawei · Datadog AI Research Paris, France

  6. From Benchmarks to Production: Transferring Time Series Anomaly Detection Methods for Electricity Production Monitoring

    Sep 30, 2026Nicolas Vautier, Paul Caron, Nardi Xhepi +4Time-Series Anomaly DetectionPower Systems

    EDF Lab Paris Saclay · EDF, DOAAT · Inria, Ecole Normale Sup´erieure (PSL), CNRS

  7. What Streaming Anomaly Detection Finds (and Misses) in Industrial Time Series

    Sep 30, 2026Magali Parrino, Antoine Ajenjo, Emmanuel Remy +2Time-Series Anomaly DetectionStreaming

    EDF R&D, France · Inria, ENS, CNRS, PSL, France

  8. In a Streaming World, Should You Stand Still? A Comprehensive Benchmark of Anomaly Detection in Streams

    Sep 30, 2026Magali Parrino, Antoine Ajenjo, Emmanuel Remy +3Time-Series Anomaly DetectionStreaming

    EDF R&D Chatou, France · ENS, PSL University, CNRS, Inria Paris, France · DI ENS, ENS, PSL University, CNRS, Inria Paris, France

  9. LEARN-TS: LLM-Enhanced Alignment and Reconstruction with Normality Guidance for Multivariate Time-Series Anomaly Detection

    Sep 30, 2026Jahyeob Koo, Kio Yun, Byoungmo Koo +1Time-Series Anomaly DetectionTime Series

    Department of Industrial and Management Engineering, Korea University Seoul, Republic of Korea

  10. No Scale Left Behind: Multi-Scale Autoencoder with Bi-directional Attention for Time Series Anomaly Detection

    Sep 29, 2026Jiaheng Guo, Haochen Zhang, Yu-Chao Huang +3Time-Series Anomaly Detection

    UNITES Lab, University of North Carolina at Chapel Hill

  11. GT-PSSM: Unified Probabilistic Framework for Stochastic Dynamics Modeling and Dependency Learning in Multivariate Time Series Anomaly Detection

    Sep 28, 2026Wonmo Koo, Jaeyeong Lee, Taeseong Yoon +1Time-Series Anomaly DetectionLong-Range Temporal Dependencies

    KAIST Daejeon, Republic of Korea

  12. Supervision Recovery for Time Series Anomaly Detection via Context-Anchored Pairing

    Sep 27, 2026Yifei Gao, Tian Lan, Yimeng Lu +5Time-Series Anomaly Detection

    Department of Industrial Engineering, Tsinghua University · Huawei

  13. GSLAD: Prototype-Regularized Graph Structure Learning for Multivariate Time Series Anomaly Detection

    Sep 14, 2026Zepeng Zhang, Fuad Khuri, Keivan Faghih Niresi +1Time-Series Anomaly DetectionGraph Representation Learning

    Intelligent Maintenance and Operations Systems (IMOS) Lab École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland

  14. Real-time and adaptive anomaly detection algorithm for cyclostationary models

    Sep 8, 2026Justyna Witulska, Tomasz Barszcz, Ireneusz Jabłoński +1Time-Series Anomaly DetectionGraph Anomaly Detection

    Faculty of Pure and Applied Mathematics and Hugo Steinhaus Center, Wrocław University of Science and Technology, Wrocław, 50-370, Poland · AGH University, Kraków, 30-059, Poland · Faculty of MINT, Brandenburg University of Technology, Cottbus, 03046, Germany

  15. JAPE: Joint Anomaly Prediction and Intrinsic Explanation in Multivariate Time Series

    Aug 12, 2026Yian Wei, Yuanyuan Yao, Lu Chen +2Time-Series Anomaly DetectionInterpretable Anomaly Detection

    Zhejiang University · RMIT University · Aalborg University

  16. Agentic Anomaly Detection with ORCA-Style Dynamic Inductive Bias Adaptation in Multimodal Wearable Time Series Data

    Aug 9, 2026Anushka Roy, Jyotirmoy Singh, Shreea Bose +1Time-Series Anomaly DetectionWearable Devices

    Department of Electrical and Electronics Engineering BITS Pilani, Hyderabad Campus · Department of Computer Science & Information Systems BITS Pilani, Hyderabad Campus · Department of Computer Science & Information Systems2026 BITS Pilani, Hyderabad Campus

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

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

    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

  18. TimeRLM: Recursive Language Models Enable Precise Anomaly Localization in Long-Context Time-Series

    Aug 4, 2026Nicolas Zumarraga, Lorenzo Steno, Ning Wang +9Time-Series Anomaly DetectionTime Series

    1Agentic Systems Lab, ETH Zürich · 3Seldon Technologies · 2Stanford University +4

  19. CARE: A Cascaded Framework for Efficient and Reliable Time Series Anomaly Detection

    Aug 3, 2026Zemin Chao, Qianhui Xu, Jianhe Cen +3Time-Series Anomaly DetectionDeep Learning

    Massive Data Computing Lab, Harbin Institute of Technology

  20. ARM: Detector-Agnostic Changepoint Attribution with Finite-Sample Error Control

    Aug 3, 2026Chenchen Peng, Mixia Wu, Qijing Yan +2Change-Point DetectionFalse Discovery Rate

    School of Mathematics, Statistics and Mechanics, Beijing University of Technology, Beijing 100124, China · College of Computing and Data Science, Nanyang Technological University, Singapore 639798, Singapore · College of Electrical Engineering, Sichuan University, Chengdu, Sichuan 610065, China

  21. Extreme Volatility Warning under Label Scarcity via Multi-Source Anomaly Fusion

    Jul 26, 2026Jin Qian, Zhangzhi Xiong, Mingrui Li +1VolatilityTime-Series Anomaly Detection

    ShanghaiTech University, Shanghai, China

  22. Optimizing Transformer Neural Network for Real-Time Outlier Detection on FPGAs

    Jul 24, 2026Ilia Sobakinskikh, Paul Alexander BilokonTime-Series Anomaly DetectionTime Series

  23. Knowledge-Assisted Multi-Graph Dependency Learning for Multivariate Time Series Anomaly Detection in Multi-Stage Industrial Processes

    Jul 17, 2026Jaeyeong Lee, Taeseong Yoon, Wonmo Koo +1Time-Series Anomaly DetectionGraph Neural Networks

    Department of Industrial and Systems Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea

  24. Lightweight Multi-Scale Anomaly Detection for Resource-Constrained Edge Devices

    Jul 14, 2026Raheen Junaid Wani, Smruti R. SarangiTime-Series Anomaly DetectionMultimodal Anomaly Detection

    School of Information Technology Indian Institute of Technology, Delhi New Delhi, India 110016 · Department of Computer Science Indian Institute of Technology, Delhi New Delhi, India 110016

  25. Exploring Zero-Shot Foundation Models for Multivariate Time Series Anomaly Detection

    Jul 14, 2026Martin Uray, Saverio Messineo, Roland Kwitt +1Time-Series Anomaly DetectionTime Series Foundation Models

    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

  26. Did We Actually Fix It? An Independent Adversarial Stress-Test of Post-Point-Adjustment Evaluation Metrics for Time-Series Anomaly Detection

    Jul 12, 2026Zongye LyuTime-Series Anomaly DetectionArea Under The Receiver Operating Characteristic Curve

    Faculty of Information Technology, Monash University, Melbourne, VIC 3800, Australia

  27. Federated Low-Rank Koopman Learning for Multivariate Time-Series Anomaly Detection in IoT Systems

    Jul 9, 2026Tung-Anh Nguyen, Van-Phuc Bui, Anh Tuyen Le +4Time-Series Anomaly DetectionInternet Of Thing

    Faculty of Engineering and IT, University of Technology Sydney, Ultimo, NSW, 2007, Australia · Faculty of Information Technology, FPT University, Vietnam · School of Electrical and Electronic Engineering, Hanoi University of Science and Technology, Vietnam

  28. CAAD: Causality-Aware Multivariate Time Series Anomaly Detection via Multi-Scale Alignment and Structural Causal Consistency

    Jul 9, 2026Xin Wang, Yunshi Wen, Yanan He +4Time-Series Anomaly Detection

    Stony Brook University · Stony Brook, New York, USA · Rensselaer Polytechnic Institute +4

  29. Detecting the Undetectable: Enhancing Unsupervised time series Anomaly Detection via Active Learning

    Jul 1, 2026Seung Hun Han, Hyeongwon Kang, Jinwoo Park +1Time-Series Anomaly DetectionTime Series

    LG CNS, 71 Magokjungang 8-ro, Gangseo-gu, Seoul, Republic of Korea · Department of Industrial & Management Engineering, Korea University, 126-16 Anam-dong 5-ga, Seongbuk-gu, Seoul, Republic of Korea · Department of Industrial Engineering, Seoul National University, Gwanak-ro 1, Gwanak-gu, Seoul, Republic of Korea

  30. Distributed Hierarchical Temporal Memory with Shared Associative Memory for Cross-Entity Preemptive Warning

    Jun 30, 2026Pavia Bera, Jennifer Adorno, Sanjukta BhanjaTime-Series Anomaly DetectionGraph Anomaly Detection

    University of South Florida, Tampa, FL, USA

  31. PaAno+: Multiscale Encoding and Cross-Variable Attention for Time Series Anomaly Detection

    Jun 18, 2026Youji Zhu, Hongbing Wang, Wenchao Liu +2Time-Series Anomaly DetectionTime Series

    School of Mathematical Sciences, Guizhou Normal University, Guiyang 550025, China. · School of Big Data and Computer Science, Guizhou Normal University, Guiyang 550025, China.

  32. SCAN: Enhance Time Series Anomaly Detection via Multi-Scale Neighborhood-Centered Clustering

    Jun 17, 2026Xingze Zheng, Hanyin Cheng, Siyuan Wang +4Time-Series Anomaly DetectionAnomaly Score

    East China Normal University · APPLab, Huawei · Huawei

  33. Anomaly Detection for Sparse and Irregular Multivariate Time Series with Latent SDEs

    Jun 17, 2026Martin Uray, Dominik Geng, Florian Graf +2Time-Series Anomaly DetectionMultivariate Time-Series

    Josef Ressel Centre for Intelligent and Secure Industrial Automation, University of Applied Sciences, Salzburg, Austria · University of Salzburg, Austria

  34. TimeLAVA: Learning-Agnostic Valuation for Time Series Data

    Jun 17, 2026Wenqin Liu, Weizhi Quan, Aoqi Zuo +5Time-Series Anomaly DetectionTime Series

    School of Mathematics and Statistics, The University of Melbourne · School of Mathematics and Statistics, University of Sydney · Responsible AI Research Centre, Australian Institute for Machine Learning +3

  35. CRAFTIIF: Cross-Resolution Analytic Four-Type Interpretable Isolation Forest for Multivariate Time Series Anomaly Detection

    Jun 11, 2026William SmitsTime-Series Anomaly DetectionMultivariate Time-Series

    Avathon, Austin, TX, USA

  36. ProtoX-AD: Self-Explainable Time Series Anomaly Detection and Characterization

    Jun 11, 2026Aitor Sánchez-Ferrera, Elisabeth Wetzer, Kristoffer Wickstrøm +2Time-Series Anomaly DetectionTransform Concepts

    aDepartment of Computer Science and Artificial Intelligence, University of the Basque Country UPV/EHU, Donostia, Spain · bDepartment of Physics and Technology, UiT The Arctic University of Norway, Tromsø, Norway

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

    Jun 8, 2026Kang Zhang, Wei Jian Lau, Shoushou Ren +3Time-Series Anomaly DetectionAnomaly Score

    1HUAWEI · 2KAIST

  38. Attack Detection using Time Series Foundation Models

    Jun 4, 2026Sribalaji C. Anand, Anh Tung Nguyen, George J. PappasThreat DetectionTime Series Foundation Models

    University of Pennsylvania, United States · Uppsala University, Sweden

  39. DAST: A VLM-LLM Framework for Cross-Interface Anomaly Detection in O-RAN

    Jun 4, 2026Francesco Spinelli, Esteban Municio, Pau Baguer +2Interpretable Anomaly DetectionTime-Series Anomaly Detection

    i2CAT Foundation · NEC Laboratories Europe · ICREA

  40. T-SAR-JEPA: Self-Supervised Temporal Anomaly Detection in SAR Amplitude Stacks via Latent Prediction

    Jun 4, 2026Kerod Woldesenbet, Abem WoldesenbetTime-Series Anomaly DetectionSynthetic Aperture Radar

    Independent Researcher · Dakota State University

  41. Disjoint or Overlapping? Inference Windowing for Reconstruction-Based Time Series Anomaly Detection

    Jun 2, 2026Guillaume Coulaud, Reza Akbarinia, Florent MassegliaTime-Series Anomaly DetectionGraph Anomaly Detection

    UM, IROKO · University of Montpellier, Inria, CNRS, LIRMM, Montpellier, France · IROKO +1

  42. TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection

    Jun 2, 2026Xiancheng Wang, Zhibo Zhang, Ran Li +4Time-Series Anomaly DetectionGraph Anomaly Detection

    School of Ocean Engineering, Harbin Institute of Technology, West Wenhua Road, Weihai, 264209, Shandong, China · Technical Center, Bogie Development Department, CRRC Qingdao Sifang Locomotive and Rolling Stock Co., Ltd, Jinhong East Road, Qingdao, 266111, Shandong, China · Qingdao University, No. 308 Ningxia Road, Qingdao, 266071, Shandong, China

  43. Anomalies in Multivariate Time Series Benchmarks Are Mostly Univariate

    Jun 1, 2026Marc Pinet, Julien Cumin, Samuel Berlemont +1Time-Series Anomaly DetectionMultivariate Time-Series

    Orange Research, Meylan, France · Univ. Grenoble Alpes, CNRS, Grenoble INP, LIG, 38000 Grenoble, France

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

    May 31, 2026Uzair Khan, Luigi Capogrosso, Francesco Biondani +4Time-Series Anomaly DetectionTime Series Foundation Models

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

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

    May 28, 2026Xiaona Zhou, Muntasir Wahed, Tianjiao Yu +2Time-Series Anomaly DetectionRecent Vision-Language Models

    University of Illinois Urbana-Champaign · Sandia National Laboratories

  46. 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 +9Time-Series Anomaly DetectionMultivariate Time-Series

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

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

    May 27, 2026Tae-Gyun Lee, Junyoung Park, Kyu Won HanTime-Series Anomaly DetectionGated Deltanet

    Electronics and Telecommunications Research Institute, South Korea

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

    May 26, 2026Khayyam Nosrati, Martin Uray, Saverio Messineo +2Time-Series Anomaly DetectionFederated Learning

    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

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

    May 25, 2026Qideng Tang, Dai Chaofan, Wubin Ma +5Time-Series Anomaly DetectionTime-Series Classification

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

    May 22, 2026Yunhua Pei, Zixing Song, Jin Zheng +1Time-Series Anomaly DetectionGraph Anomaly Detection

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

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

    May 22, 2026Alberto D. Cencillo, Leonardo Concepción, Isaac Triguero +1Time-Series Anomaly DetectionMultivariate Time-Series

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

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

    May 22, 2026Jaehyeop Hong, Youngbum HurTime-Series Anomaly DetectionLogical Anomalies

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

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

    May 18, 2026Suofei Zhang, Yaxuan Zheng, Haifeng HuTime-Series Anomaly DetectionSpatiotemporal

    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

  54. VectorSmuggle: Steganographic Exfiltration in Embedding Stores and a Cryptographic Provenance Defense

    May 13, 2026Jascha WangerSteganographyVector Database

    ThirdKey / Tarnover, LLC

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

    May 10, 2026Prithul Sarker, Sushmita Sarker, Nicholas G. Murray +1Time-Series Anomaly DetectionGraph Anomaly Detection

    University of Nevada, Reno

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

    May 9, 2026Panteleimon RodisTime-Series Anomaly DetectionTime Series

    University of Macedonia, Greece

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

    May 8, 2026Shijie Liu, Tansu Alpcan, Christopher Leckie +1Time-Series Anomaly DetectionTime Series

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

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

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

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

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

    May 1, 2026Sara Malacarne, Eirik Hoel-Høiseth, Erlend Aune +2Graph Anomaly DetectionTime-Series Anomaly Detection

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

  60. 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

    IBM Research