Dimension-Free Scaling Laws for Size Generalization: An Exponential Separation.

arXiv:2610.19279v1 Announce Type: cross Abstract: Modern machine learning models increasingly operate on variable-size structured data, such as sets and graphs. A central requirement is \emph{size generalization}: the ability of a model trained on inputs of on