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Non-normal Recurrent Neural Network (nnRNN): learning long time
  dependencies while improving expressivity with transient dynamics
v1v2 (latest)

Non-normal Recurrent Neural Network (nnRNN): learning long time dependencies while improving expressivity with transient dynamics

28 May 2019
Giancarlo Kerg
Kyle Goyette
M. P. Touzel
Gauthier Gidel
Eugene Vorontsov
Yoshua Bengio
Guillaume Lajoie
ArXiv (abs)PDFHTML

Papers citing "Non-normal Recurrent Neural Network (nnRNN): learning long time dependencies while improving expressivity with transient dynamics"

28 / 28 papers shown
Title
Gated Recurrent Neural Networks with Weighted Time-Delay Feedback
Gated Recurrent Neural Networks with Weighted Time-Delay Feedback
N. Benjamin Erichson
Soon Hoe Lim
Michael W. Mahoney
76
6
0
01 Dec 2022
Forecasting Sequential Data using Consistent Koopman Autoencoders
Forecasting Sequential Data using Consistent Koopman Autoencoders
Omri Azencot
N. Benjamin Erichson
Vanessa Lin
Michael W. Mahoney
AI4TSAI4CE
195
152
0
04 Mar 2020
Improved memory in recurrent neural networks with sequential non-normal
  dynamics
Improved memory in recurrent neural networks with sequential non-normal dynamics
A. Orhan
Xaq Pitkow
66
14
0
31 May 2019
AntisymmetricRNN: A Dynamical System View on Recurrent Neural Networks
AntisymmetricRNN: A Dynamical System View on Recurrent Neural Networks
B. Chang
Minmin Chen
E. Haber
Ed H. Chi
PINNGNN
117
207
0
26 Feb 2019
Cheap Orthogonal Constraints in Neural Networks: A Simple
  Parametrization of the Orthogonal and Unitary Group
Cheap Orthogonal Constraints in Neural Networks: A Simple Parametrization of the Orthogonal and Unitary Group
Mario Lezcano Casado
David Martínez-Rubio
50
200
0
24 Jan 2019
Towards Non-saturating Recurrent Units for Modelling Long-term
  Dependencies
Towards Non-saturating Recurrent Units for Modelling Long-term Dependencies
A. Chandar
Chinnadhurai Sankar
Eugene Vorontsov
Samira Ebrahimi Kahou
Yoshua Bengio
93
56
0
22 Jan 2019
Complex Unitary Recurrent Neural Networks using Scaled Cayley Transform
Complex Unitary Recurrent Neural Networks using Scaled Cayley Transform
K. D. G. Maduranga
Kyle E. Helfrich
Qiang Ye
64
32
0
09 Nov 2018
h-detach: Modifying the LSTM Gradient Towards Better Optimization
h-detach: Modifying the LSTM Gradient Towards Better Optimization
Devansh Arpit
Bhargav Kanuparthi
Giancarlo Kerg
Nan Rosemary Ke
Ioannis Mitliagkas
Yoshua Bengio
103
32
0
06 Oct 2018
Dynamical Isometry and a Mean Field Theory of RNNs: Gating Enables
  Signal Propagation in Recurrent Neural Networks
Dynamical Isometry and a Mean Field Theory of RNNs: Gating Enables Signal Propagation in Recurrent Neural Networks
Minmin Chen
Jeffrey Pennington
S. Schoenholz
SyDaAI4CE
67
117
0
14 Jun 2018
Quaternion Recurrent Neural Networks
Quaternion Recurrent Neural Networks
Titouan Parcollet
Mirco Ravanelli
Mohamed Morchid
G. Linarès
C. Trabelsi
R. Mori
Yoshua Bengio
53
132
0
12 Jun 2018
Stabilizing Gradients for Deep Neural Networks via Efficient SVD
  Parameterization
Stabilizing Gradients for Deep Neural Networks via Efficient SVD Parameterization
Jiong Zhang
Qi Lei
Inderjit S. Dhillon
55
112
0
25 Mar 2018
Can recurrent neural networks warp time?
Can recurrent neural networks warp time?
Corentin Tallec
Yann Ollivier
CLLAI4CE
138
136
0
23 Mar 2018
An Analysis of Neural Language Modeling at Multiple Scales
An Analysis of Neural Language Modeling at Multiple Scales
Stephen Merity
N. Keskar
R. Socher
74
171
0
22 Mar 2018
Independently Recurrent Neural Network (IndRNN): Building A Longer and
  Deeper RNN
Independently Recurrent Neural Network (IndRNN): Building A Longer and Deeper RNN
Shuai Li
W. Li
Chris Cook
Ce Zhu
Yanbo Gao
98
731
0
13 Mar 2018
Resurrecting the sigmoid in deep learning through dynamical isometry:
  theory and practice
Resurrecting the sigmoid in deep learning through dynamical isometry: theory and practice
Jeffrey Pennington
S. Schoenholz
Surya Ganguli
ODL
53
254
0
13 Nov 2017
Orthogonal Recurrent Neural Networks with Scaled Cayley Transform
Orthogonal Recurrent Neural Networks with Scaled Cayley Transform
Kyle E. Helfrich
Devin Willmott
Qiang Ye
101
131
0
29 Jul 2017
Gated Orthogonal Recurrent Units: On Learning to Forget
Gated Orthogonal Recurrent Units: On Learning to Forget
Li Jing
Çağlar Gülçehre
J. Peurifoy
Yichen Shen
Max Tegmark
Marin Soljacic
Yoshua Bengio
88
126
0
08 Jun 2017
On orthogonality and learning recurrent networks with long term
  dependencies
On orthogonality and learning recurrent networks with long term dependencies
Eugene Vorontsov
C. Trabelsi
Samuel Kadoury
C. Pal
ODL
117
242
0
31 Jan 2017
Tunable Efficient Unitary Neural Networks (EUNN) and their application
  to RNNs
Tunable Efficient Unitary Neural Networks (EUNN) and their application to RNNs
Li Jing
Yichen Shen
T. Dubček
J. Peurifoy
S. Skirlo
Yann LeCun
Max Tegmark
Marin Soljacic
95
178
0
15 Dec 2016
Efficient Orthogonal Parametrisation of Recurrent Neural Networks Using
  Householder Reflections
Efficient Orthogonal Parametrisation of Recurrent Neural Networks Using Householder Reflections
Zakaria Mhammedi
Andrew D. Hellicar
Ashfaqur Rahman
James Bailey
101
129
0
01 Dec 2016
Full-Capacity Unitary Recurrent Neural Networks
Full-Capacity Unitary Recurrent Neural Networks
Scott Wisdom
Thomas Powers
J. Hershey
Jonathan Le Roux
L. Atlas
87
294
0
31 Oct 2016
On the Expressive Power of Deep Neural Networks
On the Expressive Power of Deep Neural Networks
M. Raghu
Ben Poole
Jon M. Kleinberg
Surya Ganguli
Jascha Narain Sohl-Dickstein
84
791
0
16 Jun 2016
Recurrent Orthogonal Networks and Long-Memory Tasks
Recurrent Orthogonal Networks and Long-Memory Tasks
Mikael Henaff
Arthur Szlam
Yann LeCun
83
133
0
22 Feb 2016
Unitary Evolution Recurrent Neural Networks
Unitary Evolution Recurrent Neural Networks
Martín Arjovsky
Amar Shah
Yoshua Bengio
ODL
86
771
0
20 Nov 2015
A Simple Way to Initialize Recurrent Networks of Rectified Linear Units
A Simple Way to Initialize Recurrent Networks of Rectified Linear Units
Quoc V. Le
Navdeep Jaitly
Geoffrey E. Hinton
ODL
105
722
0
03 Apr 2015
Deep Fried Convnets
Deep Fried Convnets
Zichao Yang
Marcin Moczulski
Misha Denil
Nando de Freitas
Alex Smola
Le Song
Ziyu Wang
134
267
0
22 Dec 2014
Exact solutions to the nonlinear dynamics of learning in deep linear
  neural networks
Exact solutions to the nonlinear dynamics of learning in deep linear neural networks
Andrew M. Saxe
James L. McClelland
Surya Ganguli
ODL
200
1,852
0
20 Dec 2013
On the difficulty of training Recurrent Neural Networks
On the difficulty of training Recurrent Neural Networks
Razvan Pascanu
Tomas Mikolov
Yoshua Bengio
ODL
218
5,361
0
21 Nov 2012
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