Random Matrix Theory for Deep Learning: Beyond Eigenvalues of Linear Models
arXiv:2506.13139v2 Announce Type: replace
Abstract: Modern Machine Learning (ML) and Deep Neural Networks (DNNs) often operate on high-dimensional data and rely on overparameterized models, where classical low-dimensional intuitions break down. In par…