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Kry Yik-Chau Lui

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#machine learning Preprint Sep 2026

Score-based Outlier Generation via Controlling the Radon-Nikodym Derivative

Outliers are important for stress-testing algorithms and understanding system behaviour under rare conditions. Despite being commonly described as low-likelihood events, existing generative approaches rarely control likelihood explicitly. In this work, we introduce a measure-theoretic notion of outliers based on the di...

Amartya Mukherjee, Tristan Milne, Kry Yik-Chau Lui et al. · 0 citations

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