Time-Series Anomaly Detection

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Anomaly DetectionVideo Anomaly DetectionGraph Anomaly DetectionUnsupervised Anomaly DetectionMultimodal Industrial Anomaly DetectionAnomalyZero-Shot Anomaly DetectionAnomaly Score

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Period ending 2026-09-14

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A weekly snapshot of new work published in Time-Series Anomaly Detection.

53 papers

Latest in Time-Series Anomaly Detection

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

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

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

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

  3. 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 DetectionAnomaly Detection

  4. 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

  5. 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

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

    Aug 3, 2026Zemin Chao, Qianhui Xu, Jianhe Cen +3Time-Series Anomaly DetectionAnomaly Detection

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

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

  8. 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 DetectionAnomaly Detection

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

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

  10. 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

  11. 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 DetectionEvaluation Metrics

  12. 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 DetectionGraph Anomaly Detection

  13. 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 DetectionAnomaly Detection

  14. 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 Classification

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

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

  16. 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

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

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

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

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

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

    Jun 11, 2026William SmitsTime-Series Anomaly DetectionAnomaly Detection

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

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

  21. 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

  22. Attack Detection using Time Series Foundation Models

    Jun 4, 2026Sribalaji C. Anand, Anh Tung Nguyen, George J. PappasReal-Time Threat DetectionTime Series Foundation Models

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

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

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

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

  25. 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 DetectionFault Diagnosis

  26. Trans GAN-WT: A Feature Extraction and Interactive Learning-Based Anomaly Detection Model for Wind Turbine Time Series Data

    Jun 2, 2026Jingzhe KangOffshore Wind TurbineTime-Series Anomaly Detection

  27. Anomalies in Multivariate Time Series Benchmarks Are Mostly Univariate

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

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

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

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

    May 28, 2026Xiaona Zhou, Muntasir Wahed, Tianjiao Yu +2Time-Series Anomaly DetectionVision-Language Model Reasoning

  30. 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 DetectionAnomaly Detection

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

    May 27, 2026Tae-Gyun Lee, Junyoung Park, Kyu Won HanTime-Series Anomaly DetectionUnsupervised Detectors

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

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

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

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

  34. 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 DetectionUnsupervised Anomaly Detection

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

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

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

    May 22, 2026Jaehyeop Hong, Youngbum HurTime-Series Anomaly DetectionAnomaly Detection

  37. 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 DetectionAnomaly Detection

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

    May 13, 2026Jascha WangerImage SteganalysisModel Provenance

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

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

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

    May 9, 2026Panteleimon RodisTime-Series Anomaly DetectionTime Series

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

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

  42. 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 DetectionGraph Anomaly Detection

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

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

  44. 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

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

    Apr 20, 2026Pooyan Khosravinia, João Gama, Bruno VelosoTime-Series Anomaly DetectionAnomaly Detection

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

    Apr 19, 2026Shashank Mishra, Karan Patil, Cedric Schockaert +2Time-Series Anomaly DetectionGraph Anomaly Detection

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

    Apr 19, 2026Kadir-Kaan Özer, René Ebeling, Markus EnzweilerTime-Series Anomaly DetectionTime Series

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

    Apr 14, 2026Pierre Lotte, André Péninou, Olivier TesteTime-Series Anomaly DetectionSynthetic Time Series

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

    Mar 27, 2026PengYu Chen, Shang Wan, Xiaohou Shi +3Time-Series Anomaly DetectionUnsupervised Detectors

  50. Anomaly detection in time-series via inductive biases in the latent space of conditional normalizing flows

    Mar 12, 2026David Baumgartner, Eliezer de Souza da Silva, Iñigo UrteagaTime-Series Anomaly DetectionAnomaly Detection

  51. LEFT: Learnable Fusion of Tri-view Tokens for Unsupervised Time Series Anomaly Detection

    Feb 9, 2026Dezheng Wang, Tong Chen, Guansong Pang +3Time-Series Anomaly DetectionTemporal Learnability

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

    Feb 1, 2026Jinju Park, Seokho KangTime-Series Anomaly DetectionTime Series

  53. Weighted Contrastive Learning for Anomaly-Aware Time-Series Forecasting

    Dec 8, 2025Joel Ekstrand, Tor Mattsson, Zahra Taghiyarrenani +3Time-Series Anomaly DetectionTime Series Forecasting