G. Yang. (2019)cite arxiv:1902.04760Comment: tldr: A theoretical tool for understanding the behavior of large width randomly initialized neural networks for almost all deep learning architectures.
P. Wang, P. Donti, B. Wilder, and Z. Kolter. (2019)cite arxiv:1905.12149Comment: Accepted at ICML'19. The code can be found at https://github.com/locuslab/satnet.
A. Genevay, L. Chizat, F. Bach, M. Cuturi, and G. Peyré. Proceedings of Machine Learning Research, volume 89 of Proceedings of Machine Learning Research, page 1574--1583. PMLR, (16--18 Apr 2019)