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Mohammadreza Maleki

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#machine learning Preprint Oct 2026

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. We add Gaussian noise to the samples to form two smooth density estima...

Arman Adibi, Mohammadreza Maleki, Sanjeev R. Kulkarni et al. · 0 citations

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