Contracting Implicit Recurrent Neural Networks: Stable Models with Improved Trainability

Max Revay, Ian R. Manchester. Contracting Implicit Recurrent Neural Networks: Stable Models with Improved Trainability. In Alexandre M. Bayen, Ali Jadbabaie, George J. Pappas, Pablo A. Parrilo, Benjamin Recht, Claire J. Tomlin, Melanie N. Zeilinger, editors, Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, L4DC 2020, Online Event, Berkeley, CA, USA, 11-12 June 2020. Volume 120 of Proceedings of Machine Learning Research, pages 393-403, PMLR, 2020. [doi]

@inproceedings{RevayM20,
  title = {Contracting Implicit Recurrent Neural Networks: Stable Models with Improved Trainability},
  author = {Max Revay and Ian R. Manchester},
  year = {2020},
  url = {http://proceedings.mlr.press/v120/revay20a.html},
  researchr = {https://researchr.org/publication/RevayM20},
  cites = {0},
  citedby = {0},
  pages = {393-403},
  booktitle = {Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, L4DC 2020, Online Event, Berkeley, CA, USA, 11-12 June 2020},
  editor = {Alexandre M. Bayen and Ali Jadbabaie and George J. Pappas and Pablo A. Parrilo and Benjamin Recht and Claire J. Tomlin and Melanie N. Zeilinger},
  volume = {120},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}