Unsupervised Anomaly Detection through Mass Repulsing Optimal Transport

Eduardo Fernandes Montesuma, Adel El Habazi, Fred Ngole Mboula

Detecting anomalies in datasets is a longstanding problem in machine learning. In this context, anomalies are defined as a sample that significantly deviates from the remaining dat…