Memory of recurrent networks: Do we compute it right?

2 May 2023

Papers citing "Memory of recurrent networks: Do we compute it right?"

9 / 9 papers shown

Title
Designing Universal Causal Deep Learning Models: The Case of Infinite-Dimensional Dynamical Systems from Stochastic Analysis Luca Galimberti Anastasis Kratsios Giulia Livieri OOD 90 14 0 24 Oct 2022
Designing Universal Causal Deep Learning Models: The Geometric (Hyper)Transformer Beatrice Acciaio Anastasis Kratsios G. Pammer OOD 99 23 0 31 Jan 2022
Learning strange attractors with reservoir systems Lyudmila Grigoryeva Allen G. Hart Juan-Pablo Ortega 53 27 0 11 Aug 2021
Fading memory echo state networks are universal Lukas Gonon Juan-Pablo Ortega 64 58 0 22 Oct 2020
Reservoir Computing Universality With Stochastic Inputs Lukas Gonon Juan-Pablo Ortega 48 111 0 07 Jul 2018
Echo state networks are universal Lyudmila Grigoryeva Juan-Pablo Ortega 60 232 0 03 Jun 2018
Memory and Information Processing in Recurrent Neural Networks A. Goudarzi Sarah E. Marzen Peter Banda Guy Feldman C. Teuscher D. Stefanovic 34 16 0 23 Apr 2016
Gaussian Approximation for High Dimensional Time Series Danna Zhang Wei Biao Wu 85 132 0 27 Aug 2015
Sequence to Sequence Learning with Neural Networks Ilya Sutskever Oriol Vinyals Quoc V. Le AIMat 446 20,590 0 10 Sep 2014