How to scale your HEP ML models: A recipe for robust architecture comparisons at scale

Matthias Vigl, Nikita Pond, Jackson Barr +5

Much of the recent progress in machine learning domains such as language models has come from scaling laws that predict performance as a function of training effort. In high-energy…