Exploring the flavor structure of leptons via diffusion models
This paper proposes using diffusion models with transfer learning to generate neutrino mass matrices consistent with experimental data, revealing non-trivial distributions for CP phases and neutrino mass sums that offer new avenues for verifying lepton flavor models through future experiments.