arXiv stat.ML
· Papers
Local large deviations for linear-region growth in random piecewise-linear networks
arXiv:2607.07014v1 Announce Type: cross Abstract: We study a random compositional model for the growth of affine regions in deep piecewise-linear networks. The model is generated by i.i.d. perturbations of the symmetric height-one tent map, and the main observable is the number (N_n) of affine pieces after (n) lay