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Quickest Change Detection with Diffusion-Integrated Scores

Classical CUSUM relies on the log-likelihood ratio of the underlying distributions, which cannot generally be computed from finite pre- and post-change samples alone. We propose diffusion-integrated score CUSUM (DI-SCUSUM), a training-free detector.

By Arman Adibi, Mohammadreza Maleki, Sanjeev Kulkarni, H. Vincent PoorarXiv - stat.ML

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Originally published by arXiv - stat.ML on Oct 9, 2026.

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