Compositional Sparsity as an Inductive Bias for Neural Architecture Design
arXiv:2605.14764v1 Announce Type: new
Abstract: Identifying the structural priors that enable Deep Neural Networks (DNNs) to overcome the curse of dimensionality is a fundamental challenge in machine learning theory. Existing literature suggests that …