Framing RNN as a kernel method: A neural ODE approach

Adeline Fermanian, Pierre Marion, Jean-Philippe Vert, Gérard Biau. Framing RNN as a kernel method: A neural ODE approach. In Marc'Aurelio Ranzato, Alina Beygelzimer, Yann N. Dauphin, Percy Liang, Jennifer Wortman Vaughan, editors, Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual. pages 3121-3134, 2021. [doi]

@inproceedings{FermanianMVB21,
  title = {Framing RNN as a kernel method: A neural ODE approach},
  author = {Adeline Fermanian and Pierre Marion and Jean-Philippe Vert and Gérard Biau},
  year = {2021},
  url = {https://proceedings.neurips.cc/paper/2021/hash/18a9042b3fc5b02fe3d57fea87d6992f-Abstract.html},
  researchr = {https://researchr.org/publication/FermanianMVB21},
  cites = {0},
  citedby = {0},
  pages = {3121-3134},
  booktitle = {Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual},
  editor = {Marc'Aurelio Ranzato and Alina Beygelzimer and Yann N. Dauphin and Percy Liang and Jennifer Wortman Vaughan},
}