Framing RNN as a kernel method: A neural ODE approach
Published:
Recommended citation: A. Fermanian, P. Marion, J.-P. Vert, & G. Biau. Framing RNN as a kernel method: a neural ODE approach. In M. Ranzato, A. Beygelzimer, Y. Dauphin, P.S. Liang, & J. W. Vaughan (Eds), Advances in Neural Information Processing Systems (NeurIPS 2021), volume 34, 3121–3134. Curran Associates, Inc., 2021. https://proceedings.neurips.cc/paper/2021/hash/18a9042b3fc5b02fe3d57fea87d6992f-Abstract.html