arXiv stat.ML
· Papers
Neural Networks Provably Learn Spectral Representations for Group Composition
arXiv:2606.02993v2 Announce Type: replace-cross Abstract: Understanding how structured internal structure emerges during neural network training is central to the study of deep learning. We investigate this phenomenon through the group composition task, where a two-layer neural network is trained to predict $g_1 star