Tabular Anomaly Detection

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1 paper in the last four weeks, against 2 the four weeks before. 0.0% of all new papers.

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  1. Adapting prior-data fitted networks for tabular anomaly detection

    Oct 5, 2026Maximilian Bershtman, Niv CohenTabular Anomaly DetectionUnsupervised Anomaly Detection

    Faculty of Electrical and Computer Engineering Technion – Israel Institute of Technology Haifa, Israel

  2. Understanding Errors in LLM-Based Question Answering over Imperfect Tables

    Oct 3, 2026Baowen Zhang, Wei Fan, Ruman Wang +1Table QALanguage Model Error Detection

    University of Wisconsin–Madison · University of Auckland, Auckland, New Zealand · Liaoning Provincial People’s Hospital +1

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

    Sep 3, 2026Lamine Diop, Marc PlantevitTabular Anomaly DetectionAutoencoders

    EPITA, Laboratoire de Recherche de l’EPITA (LRE) · Le Kremlin-Bicˆetre, France

  4. Witnesses Explain Anomalies

    Sep 3, 2026Lamine DiopFeature AttributionTabular Anomaly Detection

    EPITA Research Laboratory, Le Kremlin-Bicˆetre FR-94276, France

  5. CORE: In-Context Reconstruction for Unified Tabular Anomaly Detection

    Jul 30, 2026Yunfeng Zhao, Qingfeng Chen, Yue Tan +4Tabular Anomaly DetectionReconstruction-Based Anomaly Detection

    1Guangxi University · 2Griffith University · 3Jilin University

  6. Toward Auditable Fraud Detection: Combining Graph Features, Model Explanations, and Agentic Case Investigation

    Jul 21, 2026Rahil SharmaAlgorithmic AuditingTabular Anomaly Detection

    Vrije Universiteit Amsterdam

  7. FlexTab: A Flexible Encoder-Decoder Architecture for In-Context Learning Across Diverse Tabular Tasks

    Jun 29, 2026Marek Polewczyk, Maximilian Schambach, Marco Spinaci +2Tabular Foundation ModelsTabular Anomaly Detection

    1SAP SE · 2SAP France

  8. RGLD: Randomized Global-Local Density Estimation for Tabular Anomaly Detection

    Jun 27, 2026Quanling Zhao, Jiaying Yang, Ye Tian +5Tabular Anomaly DetectionUnsupervised Anomaly Detection

    1Computer Science and Engineering, University of California San Diego · 2Intel Corporation

  9. TaskFusion: Continual Anomaly Detection for Heterogeneous Tabular Data

    Jun 10, 2026Dayananda Herurkar, Federico Raue, Joachim Folz +2Tabular Anomaly DetectionContinual Learning

    German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany · RPTU Kaiserslautern-Landau, Germany · Hochschule Bonn-Rhein-Sieg (H-BRS), Germany

  10. Masked Diffusion Modeling for Anomaly Detection

    May 28, 2026Lixing Zhang, Yuchen Liang, Liyan XieMasked Diffusion ModelsTabular Anomaly Detection

    University of Minnesota · Ohio State University

  11. SilIF: Silhouette-Augmented Isolation Forest for Unsupervised Transaction Fraud Detection

    May 21, 2026Venkatakrishnan GopalakrishnanTabular Anomaly DetectionIsolation Forest

    Independent Researcher Redmond, WA, USA

  12. When Normality Shifts: Risk-Aware Test-Time Adaptation for Unsupervised Tabular Anomaly Detection

    May 11, 2026Wei Huang, Hezhe Qiao, Kailai Zhang +3Test-Time AdaptationTabular Anomaly Detection

  13. Kurtosis-Guided Denoising Score Matching for Tabular Anomaly Detection

    May 7, 2026Victor Livernoche, Jie Zan, Reihaneh RabbanyTabular Anomaly DetectionUnsupervised Anomaly Detection

    McGill University, Mila, Montréal, Canada

  14. Unsupervised Machine Learning for Detecting Structural Anomalies in European Regional Statistics

    May 4, 2026Bogdan OanceaTabular Anomaly DetectionUnsupervised Anomaly Detection

    Department of Applied Economics and Quantitative Analysis, University of Bucharest, Romania · National Institute for Research and Development for Biological Sciences, Bucharest, Romania

  15. uLEAD-TabPFN: Uncertainty-aware Dependency-based Anomaly Detection with TabPFN

    Apr 22, 2026Sha Lu, Jixue Liu, Stefan Peters +4Tabular Anomaly DetectionAnomaly Detection

    Adelaide University · Queen's University Belfast

  16. Enhancing Tabular Anomaly Detection via Pseudo-Label-Guided Generation

    Apr 20, 2026Wei Huang, Yuxuan Xiong, Hezhe Qiao +3Tabular Anomaly DetectionPseudo-Labeling

  17. 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