uLEAD-TabPFN detects anomalies in tabular data by scoring violations of conditional dependencies estimated via frozen PFNs with uncertainty awareness, achieving top average rank and up to 20% ROC-AUC gains on high-dimensional ADBench datasets.
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uLEAD-TabPFN: Uncertainty-aware Dependency-based Anomaly Detection with TabPFN
uLEAD-TabPFN detects anomalies in tabular data by scoring violations of conditional dependencies estimated via frozen PFNs with uncertainty awareness, achieving top average rank and up to 20% ROC-AUC gains on high-dimensional ADBench datasets.