Interpretable Anomaly Detection

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  1. Cog-VADU: A Training-Free Cognitive Reasoning Framework for Video Anomaly Detection and Understanding

    Oct 1, 2026Mohd Ubaid Wani, Sara Atito, Josef Kittler +1CoT ReasoningInterpretable Anomaly Detection

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

    Oct 1, 2026Roberto Stanzione, Jules Barbe, Magali Parrino +2Interpretable Anomaly DetectionAnomaly Localization

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

    Sep 30, 2026Nicolas Vautier, Paul Caron, Nardi Xhepi +4Interpretable Anomaly DetectionIndustrial Anomaly Detection

  4. Augmenting Visual Anomaly Detection with Automated Interpretability

    Sep 27, 2026Antonio De Santis, Arsenio Leo, Marco BrambillaInterpretable Anomaly Detection

  5. PISCES: Physics-Informed Solar-wind Convolutional autoEncoder for Space-weather Anomaly Detection and Early Warning

    Sep 23, 2026Kevin Lee, Alison J. MarchInterpretable Anomaly DetectionConvolutional Autoencoder

  6. Collaborative Streaming Anomaly Detection with Interactive Explanations and Ensemble Consensus

    Sep 20, 2026Diogo Risca, Afonso Lourenço, Ricardo Martins +1Online Anomaly DetectionInterpretable Anomaly Detection

  7. Self-Verifying Anomaly Detection using Explainable AI for Cybersecurity of DER Networks

    Sep 14, 2026Damilola Popoola, Souradeep Bhattacharya, Manimaran GovindarasuCyber-Physical SystemsNetwork Intrusion Detection

  8. Differentiable Interval Bottlenecks for Interpretable Anomaly Detection in Numerical Data

    Sep 3, 2026Lamine Diop, Marc PlantevitTabular Anomaly DetectionAutoencoders

  9. Witnesses Explain Anomalies

    Sep 3, 2026Lamine DiopFeature AttributionTabular Anomaly Detection

  10. Dual Spatial-Temporal Attribution: Architecture-Aligned Post-Hoc Explainability for Recurrent Graph Anomaly Detection

    Aug 12, 2026Iyad Assaad Nekka, Hamida Seba, Khaled Walid Hidouci +1Gradient-Based AttributionInterpretable Anomaly Detection

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

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

  12. BREAD: Baseline-Referenced Explanations for Anomaly Diagnosis

    Aug 11, 2026Jiaqi Qiu, Rob Goedhart, Jannis Kurtz +1Feature AttributionExplainable Artificial Intelligence

  13. Beyond Hazard Resemblance: Contrastive Event Adjudication for Training-Free Video Anomaly Detection

    Aug 10, 2026Wenti Yin, Xiang Wang, Huaxin Zhang +4Interpretable Anomaly DetectionAnomaly Localization

  14. An Explainable LLM Agent Layer for Open-World Anomaly Detection in Oil Wells

    Aug 4, 2026Lucas Gouveia Omena Lopes, Thales Miranda de Almeida Vieira, Eduardo Toledo de Lima Junior +1Interpretable Anomaly DetectionLLM Agent Evaluation

  15. INCLAIR: Inception-Based Longitudinal Clinical Anomaly Detection with Informed Reasoning

    Jul 29, 2026Maxx Richard Rahman, Wolfgang MaassInterpretable Anomaly DetectionTime-Series Anomaly Detection

  16. Financial Audit Assistance using Misinformation Detection and Explanation

    Jul 20, 2026Kshitij Madhav Jadhav, Sushodhan Vaishampayan, Manoj Apte +3Interpretable Anomaly DetectionFinancial Fraud Detection

  17. IBAD: Interpretable Behavioral Anomaly Detection on Human Mobility Data

    Jun 14, 2026Bita Azarijoo, John Krumm, Cyrus ShahabiInterpretable Anomaly DetectionAnomaly Detection

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

    Jun 11, 2026Aitor Sánchez-Ferrera, Elisabeth Wetzer, Kristoffer Wickstrøm +2Prototype-Based LearningSelf-Supervised Time Series Representation Learning

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

    May 28, 2026Xiaona Zhou, Muntasir Wahed, Tianjiao Yu +2Interpretable Anomaly DetectionAnomaly Localization

  20. CoReVAD: A Contextual Reasoning Framework for Training-Free Video Anomaly Detection

    May 22, 2026Hyeongmuk Lim, Youngbum HurInterpretable Anomaly DetectionVLM Reasoning

  21. LATERN: Test-Time Context-Aware Explainable Video Anomaly Detection

    May 14, 2026Mitchell Piehl, Muchao YeInterpretable Anomaly DetectionVLM Reasoning

  22. Detect, Localize, and Explain: Interactive Hierarchical Log Anomaly Analytics with LLM Augmentation

    May 9, 2026Lei Ma, Suhani Chaudhary, Ethan Shanbaum +5Online Anomaly DetectionInterpretable Anomaly Detection

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

    May 7, 2026Hyeongwon Kang, Jeongseob Kim, Jinwoo Park +1Interpretable Anomaly DetectionMulti-Agent Systems

  24. ZSG-IAD: A Multimodal Framework for Zero-Shot Grounded Industrial Anomaly Detection

    Apr 20, 2026Qiuhui Chen, Jiaxiang Song, Shuai Tan +1Multimodal GroundingInterpretable Anomaly Detection

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

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