Unsupervised Anomaly Detection Using Flow Matching on Tabular Data

Philip Konz, Tejaswini Medi, Margret Keuper

Financial anomaly detection often relies on large unlabeled transaction logs, where anomalous samples may already be present during training. Such training-set contamination violat…