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Deep Learning for Distributed Optimization: Applications to Wireless
  Resource Management

Deep Learning for Distributed Optimization: Applications to Wireless Resource Management

31 May 2019
Hoon Lee
Sang Hyun Lee
Tony Q.S. Quek
ArXivPDFHTML

Papers citing "Deep Learning for Distributed Optimization: Applications to Wireless Resource Management"

13 / 13 papers shown
Title
Machine Learning in the Air
Machine Learning in the Air
Deniz Gunduz
Paul de Kerret
N. Sidiropoulos
David Gesbert
C. Murthy
M. Schaar
AI4CE
48
195
0
28 Apr 2019
Deep Learning Framework for Wireless Systems: Applications to Optical
  Wireless Communications
Deep Learning Framework for Wireless Systems: Applications to Optical Wireless Communications
Hoon Lee
Sang Hyun Lee
Tony Q.S. Quek
Inkyu Lee
36
40
0
13 Dec 2018
Learning Optimal Resource Allocations in Wireless Systems
Learning Optimal Resource Allocations in Wireless Systems
Mark Eisen
Clark Zhang
Luiz F. O. Chamon
Daniel D. Lee
Alejandro Ribeiro
38
208
0
21 Jul 2018
End-to-end Deep Learning of Optical Fiber Communications
End-to-end Deep Learning of Optical Fiber Communications
B. Karanov
M. Chagnon
F. Thouin
T. Eriksson
H. Bülow
D. Lavery
P. Bayvel
Laurent Schmalen
72
287
0
11 Apr 2018
The Expressive Power of Neural Networks: A View from the Width
The Expressive Power of Neural Networks: A View from the Width
Zhou Lu
Hongming Pu
Feicheng Wang
Zhiqiang Hu
Liwei Wang
96
892
0
08 Sep 2017
Deep Learning-Based Communication Over the Air
Deep Learning-Based Communication Over the Air
Sebastian Dörner
Sebastian Cammerer
J. Hoydis
S. Brink
55
713
0
11 Jul 2017
OptNet: Differentiable Optimization as a Layer in Neural Networks
OptNet: Differentiable Optimization as a Layer in Neural Networks
Brandon Amos
J. Zico Kolter
150
958
0
01 Mar 2017
An Introduction to Deep Learning for the Physical Layer
An Introduction to Deep Learning for the Physical Layer
Tim O'Shea
J. Hoydis
AI4CE
128
2,194
0
02 Feb 2017
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
430
43,234
0
11 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.5K
149,842
0
22 Dec 2014
Techniques for Learning Binary Stochastic Feedforward Neural Networks
Techniques for Learning Binary Stochastic Feedforward Neural Networks
T. Raiko
Mathias Berglund
Guillaume Alain
Laurent Dinh
BDL
101
126
0
11 Jun 2014
Estimating or Propagating Gradients Through Stochastic Neurons for
  Conditional Computation
Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation
Yoshua Bengio
Nicholas Léonard
Aaron Courville
366
3,125
0
15 Aug 2013
Estimating or Propagating Gradients Through Stochastic Neurons
Estimating or Propagating Gradients Through Stochastic Neurons
Yoshua Bengio
113
110
0
14 May 2013
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