Deep learning theory and Neural Collapse of features space

1) Prevalence of Neural Collapse during the terminal phase of deep learning training

2)Limitations of Neural Collapse for Understanding Generalization in Deep Learning

3)Neural Collapse A Review on Modelling Principles and Generalization

4)A Geometric Analysis of Neural Collapse with Unconstrained Features

5)Grassmannian Frames with Applications to Coding and Communication