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Gaia Grosso

2 papers indexed

arxivphysics.data-ancs.LGhep-ph2026-07-10

Are We Ready for AI-Driven Discovery? AI Verification Before the Next Fundamental Physics Breakthrough

Gaia Grosso, Vinicius Mikuni, Lukas Heinrich

Machine learning (ML) has become integral to fundamental physics, accelerating statistical workflows from data acquisition through inference and hypothesis testing. As ML systems grow increasingly autonomous, ensuring their reliability for discovery claims becomes critical. This…

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crossrefMachine Learning: Science and Technology2026-07-07

Learning to validate generative models: a goodness-of-fit approach

Pietro Cappelli, Gaia Grosso, Marco Letizia, Humberto Reyes-González, Marco Zanetti

Abstract Generative models are increasingly central to scientific workflows, yet their systematic use and interpretation require a proper understanding of their limitations through rigorous validation. Classic approaches struggle with scalability, statistical power, or interpreta…

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