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Coupled Oscillatory Recurrent Neural Network (coRNN): An accurate and
  (gradient) stable architecture for learning long time dependencies

Coupled Oscillatory Recurrent Neural Network (coRNN): An accurate and (gradient) stable architecture for learning long time dependencies

2 October 2020
T. Konstantin Rusch
Siddhartha Mishra
ArXivPDFHTML

Papers citing "Coupled Oscillatory Recurrent Neural Network (coRNN): An accurate and (gradient) stable architecture for learning long time dependencies"

5 / 55 papers shown
Title
Momentum Residual Neural Networks
Momentum Residual Neural Networks
Michael E. Sander
Pierre Ablin
Mathieu Blondel
Gabriel Peyré
27
57
0
15 Feb 2021
Noisy Recurrent Neural Networks
Noisy Recurrent Neural Networks
S. H. Lim
N. Benjamin Erichson
Liam Hodgkinson
Michael W. Mahoney
14
52
0
09 Feb 2021
Dissipative Deep Neural Dynamical Systems
Dissipative Deep Neural Dynamical Systems
Ján Drgoňa
Soumya Vasisht
Aaron Tuor
D. Vrabie
21
7
0
26 Nov 2020
Understanding Recurrent Neural Networks Using Nonequilibrium Response
  Theory
Understanding Recurrent Neural Networks Using Nonequilibrium Response Theory
S. H. Lim
24
16
0
19 Jun 2020
Symplectic Recurrent Neural Networks
Symplectic Recurrent Neural Networks
Zhengdao Chen
Jianyu Zhang
Martín Arjovsky
Léon Bottou
152
220
0
29 Sep 2019
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