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

This story is from 2026-09-14. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2609.12113v1 Announce Type: new Abstract: 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…

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  1. 2026-09-14 04:00 · arXiv cs.LG
    Score-based Outlier Generation via Controlling the Radon-Nikodym Derivative

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