2 papers
cs.LG2026
Concept frustration: Aligning human concepts and machine representations
Enrico Parisini, Christopher J. Soelistyo, Ahab Isaac +2
Aligning human-interpretable concepts with the internal representations learned by modern machine learning systems remains a central challenge for interpretable AI. We introduce a…
astro-ph.HE2024
Toward using GANs in astrophysical Monte-Carlo simulations
Ahab Isaac, Wesley Armour, Karel Adámek
Accurate modelling of spectra produced by X-ray sources requires the use of Monte-Carlo simulations. These simulations need to evaluate physical processes, such as those occurring…