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Dissipative Deep Neural Dynamical Systems

Dissipative Deep Neural Dynamical Systems

26 November 2020
Ján Drgoňa
Soumya Vasisht
Aaron Tuor
D. Vrabie
ArXivPDFHTML

Papers citing "Dissipative Deep Neural Dynamical Systems"

7 / 7 papers shown
Title
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
T. Konstantin Rusch
Siddhartha Mishra
62
90
0
02 Oct 2020
Lagrangian Neural Networks
Lagrangian Neural Networks
M. Cranmer
S. Greydanus
Stephan Hoyer
Peter W. Battaglia
D. Spergel
S. Ho
PINN
160
426
0
10 Mar 2020
Contracting Implicit Recurrent Neural Networks: Stable Models with
  Improved Trainability
Contracting Implicit Recurrent Neural Networks: Stable Models with Improved Trainability
Max Revay
I. Manchester
39
43
0
22 Dec 2019
IMEXnet: A Forward Stable Deep Neural Network
IMEXnet: A Forward Stable Deep Neural Network
E. Haber
Keegan Lensink
Eran Treister
Lars Ruthotto
53
40
0
06 Mar 2019
L1-Norm Batch Normalization for Efficient Training of Deep Neural
  Networks
L1-Norm Batch Normalization for Efficient Training of Deep Neural Networks
Shuang Wu
Guoqi Li
Lei Deng
Liu Liu
Yuan Xie
Luping Shi
32
117
0
27 Feb 2018
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
59
129
0
01 Dec 2016
Norm-Based Capacity Control in Neural Networks
Norm-Based Capacity Control in Neural Networks
Behnam Neyshabur
Ryota Tomioka
Nathan Srebro
213
583
0
27 Feb 2015
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