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Explainable Deep One-Class Classification., , , , , and . CoRR, (2020)Exposing Outlier Exposure: What Can Be Learned From Few, One, and Zero Outlier Images., , , , , and . Trans. Mach. Learn. Res., (2022)VICE: Variational Interpretable Concept Embeddings., , , , , and . NeurIPS, (2022)Robust Kernel Density Estimation by Scaling and Projection in Hilbert Space., and . NIPS, page 433-441. (2014)Learning Interpretable Concept Groups in CNNs., , , , , , and . IJCAI, page 1061-1067. ijcai.org, (2021)Rethinking Assumptions in Deep Anomaly Detection., , , , and . CoRR, (2020)Consistent Estimation of Identifiable Nonparametric Mixture Models from Grouped Observations., , and . NeurIPS, (2020)Beyond Smoothness: Incorporating Low-Rank Analysis into Nonparametric Density Estimation., and . NeurIPS, page 12180-12193. (2021)Set Learning for Accurate and Calibrated Models., , , , and . ICLR, OpenReview.net, (2024)Image Anomaly Detection with Generative Adversarial Networks., , , , and . ECML/PKDD (1), volume 11051 of Lecture Notes in Computer Science, page 3-17. Springer, (2018)