Tunable Efficient Unitary Neural Networks (EUNN) and their application to RNNs

Li Jing, Yichen Shen, Tena Dubcek, John Peurifoy, Scott A. Skirlo, Yann LeCun, Max Tegmark, Marin Soljacic. Tunable Efficient Unitary Neural Networks (EUNN) and their application to RNNs. In Doina Precup, Yee Whye Teh, editors, Proceedings of the 34th International Conference on Machine Learning, ICML 2017, Sydney, NSW, Australia, 6-11 August 2017. Volume 70 of JMLR Workshop and Conference Proceedings, pages 1733-1741, JMLR.org, 2017. [doi]

@inproceedings{JingSDPSLTS17,
  title = {Tunable Efficient Unitary Neural Networks (EUNN) and their application to RNNs},
  author = {Li Jing and Yichen Shen and Tena Dubcek and John Peurifoy and Scott A. Skirlo and Yann LeCun and Max Tegmark and Marin Soljacic},
  year = {2017},
  url = {http://proceedings.mlr.press/v70/jing17a.html},
  researchr = {https://researchr.org/publication/JingSDPSLTS17},
  cites = {0},
  citedby = {0},
  pages = {1733-1741},
  booktitle = {Proceedings of the 34th International Conference on Machine Learning, ICML 2017, Sydney, NSW, Australia, 6-11 August 2017},
  editor = {Doina Precup and Yee Whye Teh},
  volume = {70},
  series = {JMLR Workshop and Conference Proceedings},
  publisher = {JMLR.org},
}