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Author

S. Prunet

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2 papers indexed here

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Preprint Sep 2026

Diffusion Models for Polarimetric Reconstruction of Circumstellar Environments in Correlated Speckle Noise

High-contrast polarimetric imaging of circumstellar disks is severely limited by stellar leakage and speckle noise. Building upon the RHAPSODIE framework for polarimetric inverse problems, diffusion-based methods have shown promising results by replacing classical regularization with learned priors. However, RHAPSODIE'...

Quentin Villegas, L. Denneulin, S. Prunet et al. · 0 citations
Aug 2026

Probabilistic machine learning for short-term atmospheric seeing forecasting

Accurate short-term forecasting of atmospheric seeing is of significant interest for astronomical observations and free-space optical communication systems, where rapid variations in optical turbulence can affect system performance and operational planning. In this work, we benchmark machine learning models for predict...

Mary-Joe Medlej, R. Srinivasan, S. Prunet et al. · 0 citations

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