AI RESEARCH

Neural Scaling Laws for Jet Generation

arXiv CS.LG

ArXi:2605.28940v1 Announce Type: cross Recently observed empirical scaling laws describe the performance of foundation-type models as three independent key quantities -- dataset size, compute, and model parameters -- are modified. Extracting these scaling laws informs the