Differentiable Interval Bottlenecks for Interpretable Anomaly Detection in Numerical Data

Lamine Diop, Marc Plantevit

Reconstruction-based anomaly detectors are accurate but opaque: a deep autoencoder flags a sample without telling a practitioner which feature ranges made it anomalous. We propose…