Lars Doorenbos*

Learning Non-Linear Invariants for Unsupervised Out-of-Distribution Detection

"The inability of deep learning models to handle data drawn from unseen distributions has sparked much interest in unsupervised out-of-distribution (U-OOD) detection, as it is crucial for reliable deep learning models. Despite considerable attention, theoretically-motivated approaches are few and fa…