Lipschitz regularity of deep neural networks: analysis and efficient estimation

Aladin Virmaux, Kevin Scaman. Lipschitz regularity of deep neural networks: analysis and efficient estimation. In Samy Bengio, Hanna M. Wallach, Hugo Larochelle, Kristen Grauman, Nicolò Cesa-Bianchi, Roman Garnett, editors, Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, NeurIPS 2018, 3-8 December 2018, Montréal, Canada. pages 3839-3848, 2018. [doi]

@inproceedings{VirmauxS18,
  title = {Lipschitz regularity of deep neural networks: analysis and efficient estimation},
  author = {Aladin Virmaux and Kevin Scaman},
  year = {2018},
  url = {http://papers.nips.cc/paper/7640-lipschitz-regularity-of-deep-neural-networks-analysis-and-efficient-estimation},
  researchr = {https://researchr.org/publication/VirmauxS18},
  cites = {0},
  citedby = {0},
  pages = {3839-3848},
  booktitle = {Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, NeurIPS 2018, 3-8 December 2018, Montréal, Canada},
  editor = {Samy Bengio and Hanna M. Wallach and Hugo Larochelle and Kristen Grauman and Nicolò Cesa-Bianchi and Roman Garnett},
}