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Learning fixed points of recurrent neural networks by reparameterizing
  the network model

Learning fixed points of recurrent neural networks by reparameterizing the network model

13 July 2023
Vicky Zhu
Robert Rosenbaum
ArXivPDFHTML

Papers citing "Learning fixed points of recurrent neural networks by reparameterizing the network model"

3 / 3 papers shown
Title
Tractable Dendritic RNNs for Reconstructing Nonlinear Dynamical Systems
Tractable Dendritic RNNs for Reconstructing Nonlinear Dynamical Systems
Manuela Brenner
Florian Hess
Jonas M. Mikhaeil
Leonard Bereska
Zahra Monfared
Po-Chen Kuo
Daniel Durstewitz
AI4CE
42
30
0
06 Jul 2022
Optimal input representation in neural systems at the edge of chaos
Optimal input representation in neural systems at the edge of chaos
Guillermo B. Morales
M. A. Muñoz
AAML
51
17
0
12 Jul 2021
Universal scaling laws in the gradient descent training of neural
  networks
Universal scaling laws in the gradient descent training of neural networks
Maksim Velikanov
Dmitry Yarotsky
54
9
0
02 May 2021
1