CTAD calibrates anomaly scores via optimal transport distance on empirical and K-means structural distributions of normal data, yielding consistent gains across 34 tabular datasets and seven detector types.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2026 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Calibrating Tabular Anomaly Detection via Optimal Transport
CTAD calibrates anomaly scores via optimal transport distance on empirical and K-means structural distributions of normal data, yielding consistent gains across 34 tabular datasets and seven detector types.