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hep-ph2026
Physically Consistent Parameter Inference: Transparent Machine Learning Emulation in High Energy Physics and Cosmology
Jorge Alda, Jacobo Asorey, Alejandro Mir +1
Global fits in high energy physics and cosmology often face the challenge of exploring high-dimensional parameter spaces with computationally expensive or topologically complex lik…
hep-ph2026
Lecture notes on Machine Learning applications for global fits
Jorge Alda
These lecture notes provide a comprehensive framework for performing global statistical fits in high-energy physics using modern Machine Learning (ML) surrogates. We begin by revie…