Model-free training of end-to-end communication systems

FA Aoudia, J Hoydis - IEEE Journal on Selected Areas in …, 2019 - ieeexplore.ieee.org
The idea of end-to-end learning of communication systems through neural network (NN)-
based autoencoders has the shortcoming that it requires a differentiable channel model. We …

Model-Free Training of End-to-End Communication Systems

FA Aoudia, J Hoydis - IEEE Journal on Selected Areas in …, 2019 - dl.acm.org
The idea of end-to-end learning of communication systems through neural network (NN)-
based autoencoders has the shortcoming that it requires a differentiable channel model. We …

Model-free Training of End-to-end Communication Systems

F Ait Aoudia, J Hoydis - arXiv e-prints, 2018 - ui.adsabs.harvard.edu
The idea of end-to-end learning of communication systems through neural network-based
autoencoders has the shortcoming that it requires a differentiable channel model. We …

[引用][C] Model-Free Training of End-to-End Communication Systems

FA Aoudia, J Hoydis - IEEE Journal on Selected Areas in …, 2019 - cir.nii.ac.jp
Model-Free Training of End-to-End Communication Systems | CiNii Research CiNii 国立
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Model-free Training of End-to-end Communication Systems

FA Aoudia, J Hoydis - arXiv preprint arXiv:1812.05929, 2018 - arxiv.org
The idea of end-to-end learning of communication systems through neural network-based
autoencoders has the shortcoming that it requires a differentiable channel model. We …