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Author

Céline Hudelot

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#machine learning Preprint Sep 2026

Correct then Forecast: Observer State-Space Models for Time Series Forecasting

Time series forecasting requires extrapolating the dynamics of an observed process beyond the last available measurement. Yet recurrent forecasting models typically treat observations as inputs that directly control their latent dynamics. It leads to a regime change when these observations become unavailable at predict...

Alexis-Raja Brachet, Guillaume Clavier-Frémond, Abdelhakim Ziani et al. · 0 citations
Open access May 2024

Advancing human-centric AI for robust X-ray analysis through holistic self-supervised learning

RayDINO is introduced, a self-supervised chest X-ray foundation model trained on 840,000 images, that outperforms supervised methods across nine radiology tasks and shows improved generalization and reduced bias across demographics.

Théo Moutakanni, P. Bojanowski, G. Chassagnon et al. · 28 citations · ⚡1

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