On global convergence of ResNets: From finite to infinite width using linear parameterization

Raphaël Barboni, Gabriel Peyré, François-Xavier Vialard. On global convergence of ResNets: From finite to infinite width using linear parameterization. In Sanmi Koyejo, S. Mohamed, A. Agarwal, Danielle Belgrave, K. Cho, A. Oh, editors, Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022. 2022. [doi]

@inproceedings{BarboniPV22,
  title = {On global convergence of ResNets: From finite to infinite width using linear parameterization},
  author = {Raphaël Barboni and Gabriel Peyré and François-Xavier Vialard},
  year = {2022},
  url = {http://papers.nips.cc/paper_files/paper/2022/hash/67ea314d1df751bbf99ab664ae3049a5-Abstract-Conference.html},
  researchr = {https://researchr.org/publication/BarboniPV22},
  cites = {0},
  citedby = {0},
  booktitle = {Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022},
  editor = {Sanmi Koyejo and S. Mohamed and A. Agarwal and Danielle Belgrave and K. Cho and A. Oh},
  isbn = {9781713871088},
}