Stochastic Expectation Maximization for Robust State-Space Radio Interferometric Imaging

arXiv:2606.23944 · astro-ph.IM, cs.LG, stat.ML · Submitted 2026-06-22 · Read on arXiv

Nawel Arab, Mohammed Nabil El Korso, Isabelle Vin, Pascal Larzabal

astro-ph.IM, cs.LG, stat.ML

Submitted: 2026-06-22

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

Latent Variables — 4× in this paper · explained in 2 episodes
Robustness — 4× in this paper · explained in 6 episodes
Fidelity — 3× in this paper · explained in 2 episodes
Heavy-Tailed Noise — 3× in this paper · explained in 3 episodes
Monte Carlo Sampling — 2× in this paper · explained in 2 episodes
Accuracy — 1× in this paper · explained in 1 episode
Calibration — 1× in this paper · explained in 9 episodes
Composition — 1× in this paper · explained in 2 episodes
Degeneracy — 1× in this paper · explained in 4 episodes
Heavy-Tailed Distributions — 1× in this paper · explained in 2 episodes
Inverse Problem — 1× in this paper · explained in 2 episodes
Latent Dynamics — 1× in this paper · explained in 2 episodes
Parameterization — 1× in this paper · explained in 2 episodes
Sparsity — 1× in this paper · explained in 5 episodes
Stochastic Approximation Expectation--Maximization — 1× in this paper
Variational Bayes — 1× in this paper · explained in 2 episodes
Very Large Array — 1× in this paper

Sources

Missing Data in Signal Processing and Machine Learning: Models, Methods and Modern Approaches

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