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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

C. Cuesta-Lázaro

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2 papers indexed here

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Review Sep 2026

From starlight to dark matter: a stochastic interpolation approach to map dark matter from stellar density

The dark matter halo profile in galaxies holds key information about the nature of dark matter and galaxy formation. Constraining the dark matter profile of galaxies beyond the Milky Way traditionally requires expensive spectroscopic observations for kinematic information. In this paper, we explore a conditional genera...

Xiao-Wei Ou, L. Necib, C. Cuesta-Lázaro et al. · 0 citations
Preprint Aug 2026

Unknown Unknowns: Model Misspecification in Machine Learning for Physics

Machine learning is now a central tool for solving inverse problems in particle physics and astronomy. Models are trained on simulation and deployed on real data, raising the question not just of whether they fit, but of whether they are wrong in ways we did not anticipate: the unknown unknowns. This challenge of model...

J. Cruz-Martinez, C. Cuesta-Lázaro, Alexander Held et al. · 1 citation

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