Invariant Anomaly Detection under Distribution Shifts: A Causal Perspective

1 code implementation • NeurIPS 2023 • João B. S. Carvalho, Mengtao Zhang, Robin Geyer, Carlos Cotrini, Joachim M. Buhmann

In this work, by leveraging tools from causal inference we attempt to increase the resilience of anomaly detection models to different kinds of distribution shifts.

Anomaly Detection Causal Inference