Review for NeurIPS paper: Directional convergence and alignment in deep learning

The reviewers agree that this paper is solving an important question with an interesting mathematical approach. The contributions, although technical, help to give rigorous justification to many works studying the behavior of neural networks or other models under gradient descent. Do not forget to update the paper as mentioned in the rebuttal.