Deep Learning for Distributed Optimization: Applications to Wireless Resource Management

31 May 2019

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

13 / 13 papers shown

Title
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 Hoon Lee Sang Hyun Lee Tony Q.S. Quek Inkyu Lee 36 40 0 13 Dec 2018
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 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 Zhou Lu Hongming Pu Feicheng Wang Zhiqiang Hu Liwei Wang 96 892 0 08 Sep 2017
Deep Learning-Based Communication Over the Air Sebastian Dörner Sebastian Cammerer J. Hoydis S. Brink 52 713 0 11 Jul 2017
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 Tim O'Shea J. Hoydis AI4CE 128 2,194 0 02 Feb 2017
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 419 43,234 0 11 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.4K 149,842 0 22 Dec 2014
Techniques for Learning Binary Stochastic Feedforward Neural Networks T. Raiko Mathias Berglund Guillaume Alain Laurent Dinh BDL 95 126 0 11 Jun 2014
Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation Yoshua Bengio Nicholas Léonard Aaron Courville 358 3,125 0 15 Aug 2013
Estimating or Propagating Gradients Through Stochastic Neurons Yoshua Bengio 107 110 0 14 May 2013