SGORNN: Combining scalar gates and orthogonal constraints in recurrent networks

Will Taylor-Melanson, Martha Dais Ferreira, Stan Matwin. SGORNN: Combining scalar gates and orthogonal constraints in recurrent networks. Neural Networks, 159:25-33, February 2023. [doi]

@article{TaylorMelansonFM23,
  title = {SGORNN: Combining scalar gates and orthogonal constraints in recurrent networks},
  author = {Will Taylor-Melanson and Martha Dais Ferreira and Stan Matwin},
  year = {2023},
  month = {February},
  doi = {10.1016/j.neunet.2022.11.028},
  url = {https://doi.org/10.1016/j.neunet.2022.11.028},
  researchr = {https://researchr.org/publication/TaylorMelansonFM23},
  cites = {0},
  citedby = {0},
  journal = {Neural Networks},
  volume = {159},
  pages = {25-33},
}