Unsupervised Anomaly Detection

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31 papers in the last four weeks, up 82% on the four weeks before. 0.2% of all new papers.

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  1. CINDI: Conditional Imputation and Noisy Data Integrity with Flows in Power Grid Data

    Mar 12, 2026David Baumgartner, Helge Langseth, Heri RamampiaroTime Series ImputationTime-Series Anomaly Detection

    Department of Computer Science, Norwegian University of Science and Technology, Trondheim, Norway

  2. Spatio-Temporal Attention Graph Neural Network: Explaining Causalities With Attention

    Mar 11, 2026Kosti Koistinen, Kirsi Hellsten, Joni Herttuainen +1Industrial Anomaly DetectionInterpretable Anomaly Detection

    Aalto University School of Science Computer Science Department P.O.Box 11000, 00076 AALTO, Finland

  3. RC-NF: Robot-Conditioned Normalizing Flow for Real-Time Anomaly Detection in Robotic Manipulation

    Mar 11, 2026Shijie Zhou, Bin Zhu, Jiarui Yang +3Anomaly DetectionUnsupervised Anomaly Detection

    Institute of Trustworthy Embodied AI, Fudan University · Shanghai Key Laboratory of Multimodal Embodied AI · Singapore Management University

  4. Explainable Condition Monitoring via Probabilistic Anomaly Detection Applied to Helicopter Transmissions

    Mar 9, 2026Aurelio Raffa Ugolini, Jessica Leoni, Valentina Breschi +4Anomaly DetectionInterpretable Anomaly Detection

    DEIB, Politecnico di Milano Via Giuseppe Ponzio 34, Milano, 20133 (Italy) · Dep. of Electrical Engineering, TU\e Groene Loper 19, Eindhoven, 5600 MB (The Netherlands) · Leonardo Labs, Leonardo S.p.A. Piazza Monte Grappa 4, Roma, 00195 (Italy)

  5. An Interpretable Generative Framework for Anomaly Detection in High-Dimensional Financial Time Series

    Mar 9, 2026Waldyn G MartinezTime-Series Anomaly DetectionInterpretable Anomaly Detection

    Department of Information Systems & Analytics Farmer School of Business Miami University Oxford, OH 45056

  6. GSAT: Geometric Traversability Estimation using Self-supervised Learning with Anomaly Detection for Diverse Terrains

    Mar 8, 2026Dongjin Cho, Miryeong Park, Juhui Lee +2Robotic PerceptionRobot Navigation

    the Electrical and Computer Engineering and INHA Future Mobility IPCC, Inha University, Incheon, South Korea.

  7. Cross-Modal Mapping and Dual-Branch Reconstruction for 2D-3D Multimodal Industrial Anomaly Detection

    Mar 4, 2026Radia Daci, Vito Renò, Cosimo Patruno +4Industrial Anomaly DetectionMultimodal Anomaly Detection

    CNR-ISASI, Institute of Applied Sciences and Intelligent Systems / National Research Council of Italy, via Monteroni snc, Lecce, 73100, Italy · CNR-STIIMA, Institute of Intelligent Industrial Technologies and Systems for Advanced Manufacturing, Via G. Amendola 122 D/O, Bari, 70126, Italy · Institute d’Electronique de Microelectronique et de Nanotechnologie (IEMN) / Universite Polytechnique Hauts de France; Universite de Lille; CNRS, UMR 8520, City, 59313, France

  8. Spatial Autoregressive Modeling of DINOv3 Embeddings for Unsupervised Anomaly Detection

    Mar 3, 2026Ertunc Erdil, Nico Schulthess, Guney Tombak +1Medical Image Anomaly DetectionIndustrial Anomaly Detection

    Computer Vision Lab. ETH Zurich, Zurich, Switzerland

  9. Learning to Pay Attention: Unsupervised Modeling of Attentive and Inattentive Respondents in Survey Data

    Mar 2, 2026Ilias Triantafyllopoulos, Panos IpeirotisUnsupervised Anomaly Detection

    Stern School of Business, New York University, New York, NY, USA

  10. TRAKNN: Efficient Trajectory Aware Spatiotemporal kNN for Rare Meteorological Trajectory Detection

    Mar 2, 2026Guillaume Coulaud, Davide Farandak-Nearest NeighborsAnomaly Detection

    UM, IROKO · University of Montpellier, Inria, CNRS, LIRMM, Montpellier, France · LMD, LSCE, ESTIMR +3

  11. GCTAM: Global and Contextual Truncated Affinity Combined Maximization Model For Unsupervised Graph Anomaly Detection

    Mar 2, 2026Xiong Zhang, Hong Peng, Zhenli He +3Unsupervised Anomaly DetectionAnomaly Detection

    School of Software, Yunnan University, Kunming, China

  12. An Efficient Unsupervised Federated Learning Approach for Anomaly Detection in Heterogeneous IoT Networks

    Feb 27, 2026Mohsen Tajgardan, Atena Shiranzaei, Mahdi Rabbani +2Unsupervised Anomaly DetectionAnomaly Detection

    Faculty of Electrical and Computer Engineering, Qom University of Technology, Qom, Iran · Department of Computer Engineering, Faculty of Industry and Mining (Khash), Sistan and Baluchestan University, Zahedan, Iran · Canadian Institute for Cybersecurity, University of New Brunswick, NB, Canada +1

  13. Unsupervised Anomaly Detection in Wearable Foot Sensor Data: A Baseline Feasibility Study Towards Diabetic Foot Ulcer Prevention

    Feb 27, 2026Md Tanvir Hasan TurjaUnsupervised Anomaly DetectionWearable Health Monitoring

    Department of Computer Science, Middlesex University London, London, UK

  14. Learning Rewards, Not Labels: Adversarial Inverse Reinforcement Learning for Machinery Fault Detection

    Feb 25, 2026Dhiraj Neupane, Richard Dazeley, Mohamed Reda Bouadjenek +1Fault DetectionUnsupervised Anomaly Detection

    Deakin University Waurn Ponds, Victoria, Australia

  15. Inspectorch: Efficient rare event exploration in solar observations

    Feb 23, 2026C. J. Díaz Baso, I. J. Soler Poquet, C. Kuckein +2Anomaly DetectionUnsupervised Anomaly Detection

    Institute of Theoretical Astrophysics, University of Oslo, P.O. Box 1029 Blindern, N-0315 Oslo, Norway · Rosseland Centre for Solar Physics, University of Oslo, P.O. Box 1029 Blindern, N-0315 Oslo, Norway · Instituto de Astrofísica de Canarias, C/Vía Láctea s/n, E-38205 La Laguna, Tenerife, Spain +3

  16. Unsupervised Anomaly Detection in NSL-KDD Using ββ-VAE: A Latent Space and Reconstruction Error Approach

    Feb 23, 2026Dylan Baptiste, Ramla Saddem, Alexandre Philippot +1Unsupervised Anomaly DetectionNetwork Intrusion Detection

    CRESTIC · Université de Reims Champagne-Ardenne, CRESTIC, Reims, France · Seckiot, Paris, France

  17. RAID: Retrieval-Augmented Anomaly Detection

    Feb 23, 2026Mingxiu Cai, Zhe Zhang, Gaochang Wu +2Unsupervised Anomaly DetectionAnomaly Detection

    State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University · University of Surrey

  18. TimeRadar: A Domain-Rotatable Foundation Model for Time Series Anomaly Detection

    Feb 22, 2026Hui He, Hezhe Qiao, Yutong Chen +2Time-Series Anomaly DetectionUnsupervised Anomaly Detection

    School of Computing and Information Systems, Singapore Management University, Singapore · Chongqing Institute of Green and Intelligent Technology, University of Chinese Academy of Sciences, Chongqing, China · State Information Center, Beijing, China

  19. Mind the Gap: Detecting Cluster Exits for Robust Local Density-Based Score Normalization in Anomalous Sound Detection

    Feb 21, 2026Kevin Wilkinghoff, Gordon Wichern, Jonathan Le Roux +1Anomaly DetectionUnsupervised Anomaly Detection

    Department of Electronic Systems, Aalborg University, Aalborg, Denmark · Pioneer Centre for Artificial Intelligence, Copenhagen, Denmark · Mitsubishi Electric Research Laboratories (MERL), Cambridge, MA, USA

  20. Conditional Flow Matching for Continuous Anomaly Detection in Autonomous Driving on a Manifold-Aware Spectral Space

    Feb 19, 2026Antonio Guillen-PerezUnsupervised Anomaly DetectionAutonomous Driving Safety Evaluation

    Independent Researcher

  21. StructCore: Structure-Aware Image-Level Scoring for Training-Free Unsupervised Anomaly Detection

    Feb 19, 2026Joongwon Chae, Lihui Luo, Yang Liu +8Unsupervised Anomaly DetectionAnomaly Detection

    Tsinghua University Shenzhen International Graduate School, Shenzhen, China · Ratel Soft · Affiliated Fifth Hospital, Wenzhou Medical University, Wenzhou, Zhejiang, China +1

  22. Forecasting Anomaly Precursors via Uncertainty-Aware Time-Series Ensembles

    Feb 19, 2026Hyeongwon Kang, Jinwoo Park, Seunghun Han +1Time-Series Anomaly DetectionUnsupervised Anomaly Detection

    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 · LG CNS, 71, Magokjungang 8-ro, Gangseo-gu, Seoul, Republic of Korea

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

    Feb 9, 2026Dezheng Wang, Tong Chen, Guansong Pang +3Multi-View LearningUnsupervised Anomaly Detection

    School of Automation, Southeast University Nanjing, China · School of Electrical Engineering and Computer Science, The University of Queensland Brisbane, Australia · School of Computing and Information Systems, Singapore Management University Singapore

  24. Auditing Frozen-Encoder Anomaly Detection Across Mechanical Systems: Representation Provenance, Calibration, and Protocol Effects

    Jan 16, 2026Jose Sánchez AndreuMahalanobis DistanceIndustrial Anomaly Detection

    Independent Researcher, Murcia, Spain

  25. Explainable Visual Anomaly Detection via Concept Bottleneck Models

    Nov 25, 2025Arianna Stropeni, Valentina Zaccaria, Francesco Borsatti +3Interpretable Anomaly DetectionAnomaly Localization

    University of Padova, Italy

  26. Isolation-based Spherical Ensemble Representations for Tabular Anomaly Detection

    Oct 15, 2025Yang Cao, Sikun Yang, Hao Tian +5Tabular Anomaly DetectionIsolation Forest

    Tsinghua Shenzhen International Graduate School, Tsinghua University, China · School of Computing and Information Technology, Great Bay University, China · School of Compuer Science, Nanjing University, China +3

  27. OCSVM-Guided Representation Learning for Unsupervised Anomaly Detection

    Jul 25, 2025Nicolas Pinon, Robin Trombetta, Carole LartizienMedical Image Anomaly DetectionUnsupervised Representation Learning

    MYRIAD

  28. Detecting and explaining clinical-omics inconsistencies to improve patient cohort stratification: an application to Parkinson's disease

    Jul 4, 2025José A. Pardo-Pérez, Tomás Bernal, Jaime Ñiguez +5Medical DiagnosisUnsupervised Anomaly Detection

    Department of Information and Communications Engineering, Faculty of Computer Science, University of Murcia, Murcia, Spain. · Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, London, UK. · Department of Neurology, Washington University School of Medicine, Saint Louis, MO, 63110, USA. +1

  29. ISP-AD: A Large-Scale Real-World Dataset for Advancing Industrial Anomaly Detection with Synthetic and Real Defects

    Mar 6, 2025Paul J. Krassnig, Dieter P. GruberIndustrial Anomaly DetectionIndustrial Inspection

    Polymer Competence Center Leoben GmbH, Leoben, Austria. · Chair of Materials Science and Testing of Polymers, Montanuniversitat Leoben, Leoben, Austria.

  30. Tuned Reverse Distillation: Enhancing Multimodal Industrial Anomaly Detection with Crossmodal Tuners

    Dec 12, 2024Xinyue Liu, Jianyuan Wang, Biao Leng +1Cross-Modal Knowledge DistillationIndustrial Anomaly Detection

    School of Computer Science and Engineering, Beihang University, Beijing 100191, China · Key Laboratory of Intelligent Bionic Unmanned Systems, Ministry of Education, and the School of Artificial Intelligence, University of Science and Technology Beijing, Beijing 100083, China · School of Computer Science and Technology, Beijing Jiaotong University, Beijing 100044, China