Design of Communication Systems using Deep Learning: A Variational
Inference Perspective

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Design of Communication Systems using Deep Learning: A Variational Inference Perspective

18 April 2019

Sheetal Kalyani

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Papers citing "Design of Communication Systems using Deep Learning: A Variational Inference Perspective"

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Title
Model-free Training of End-to-end Communication Systems Fayçal Ait Aoudia J. Hoydis 61 193 0 14 Dec 2018
One-Bit OFDM Receivers via Deep Learning Eren Balevi J. Andrews MQ 92 98 0 02 Nov 2018
Learning to Detect N. Samuel Tzvi Diskin A. Wiesel 64 436 0 19 May 2018
Constrained-CNN losses for weakly supervised segmentation H. Kervadec Jose Dolz Meng Tang Eric Granger Yuri Boykov Ismail Ben Ayed 73 239 0 12 May 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 84 288 0 11 Apr 2018
Physical Layer Communications System Design Over-the-Air Using Adversarial Networks Tim O'Shea Tamoghna Roy Nathan E. West Benjamin C. Hilburn GAN 46 109 0 08 Mar 2018
Calibrating Noise to Variance in Adaptive Data Analysis Vitaly Feldman Thomas Steinke 71 50 0 19 Dec 2017
Deep Learning-Based Communication Over the Air Sebastian Dörner Sebastian Cammerer J. Hoydis S. Brink 63 716 0 11 Jul 2017
Imposing Hard Constraints on Deep Networks: Promises and Limitations Pablo Márquez-Neila Mathieu Salzmann Pascal Fua PINN UQCV 145 140 0 07 Jun 2017
An Introduction to Deep Learning for the Physical Layer Tim O'Shea J. Hoydis AI4CE 140 2,198 0 02 Feb 2017
Learning to Communicate: Channel Auto-encoders, Domain Specific Regularizers, and Attention Tim O'Shea Kiran Karra T. Clancy AI4CE 53 224 0 23 Aug 2016
Variational Inference: A Review for Statisticians David M. Blei A. Kucukelbir Jon D. McAuliffe BDL 285 4,793 0 04 Jan 2016
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.9K 150,260 0 22 Dec 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 452 16,929 0 20 Dec 2013