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astro-ph.IM2026
Morphology of Radio Sources in Representation Space
Nicolas Baron Perez, Marcus Brüggen, Luisa Lucie-Smith
Understanding radio source morphologies and their classification remains challenging. We previously developed a deep clustering method based on self-supervised learning to classify…
physics.data-an2026
Interpreting "Interpretability" and Explaining "Explainability" in Machine Learning in Physics
Rikab Gambhir, Luisa Lucie-Smith, Jesse Thaler
We review the concepts of interpretability and explainability as they apply to machine learning in physics. We define interpretability as concerning the structural transparency of…