arXiv Machine Learning June 24, 2026 By Nawel Arab, Mohammed Nabil El Korso, Isabelle Vin, Pascal Larzabal

Stochastic Expectation Maximization for Robust State-Space Radio Interferometric Imaging

Read the original on arXiv Machine Learning →

arXiv:2606. 23944v1 Announce Type: cross Abstract: State--space models provide a flexible framework for analyzing dynamical systems, yet they often rely on Gaussian assumptions that fail to capture heavy-tailed or outlier-prone measurement noise.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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