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RE-MIMO: Recurrent and Permutation Equivariant Neural MIMO Detection

RE-MIMO: Recurrent and Permutation Equivariant Neural MIMO Detection

30 June 2020
Kumar Pratik
Bhaskar D. Rao
Max Welling
ArXivPDFHTML

Papers citing "RE-MIMO: Recurrent and Permutation Equivariant Neural MIMO Detection"

18 / 18 papers shown
Title
Neural Enhanced Belief Propagation on Factor Graphs
Neural Enhanced Belief Propagation on Factor Graphs
Victor Garcia Satorras
Max Welling
65
96
0
04 Mar 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
277
42,038
0
03 Dec 2019
Invert to Learn to Invert
Invert to Learn to Invert
P. Putzky
Max Welling
42
75
0
25 Nov 2019
Adaptive Neural Signal Detection for Massive MIMO
Adaptive Neural Signal Detection for Massive MIMO
Mehrdad Khani
Mohammad Alizadeh
J. Hoydis
Phil Fleming
32
212
0
11 Jun 2019
Combining Generative and Discriminative Models for Hybrid Inference
Combining Generative and Discriminative Models for Hybrid Inference
Victor Garcia Satorras
Zeynep Akata
Max Welling
34
56
0
06 Jun 2019
FFDNet: Toward a Fast and Flexible Solution for CNN based Image
  Denoising
FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising
Peng Sun
W. Zuo
Lei Zhang
93
2,108
0
11 Oct 2017
Recurrent Inference Machines for Solving Inverse Problems
Recurrent Inference Machines for Solving Inverse Problems
P. Putzky
Max Welling
AI4CE
39
127
0
13 Jun 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
453
129,831
0
12 Jun 2017
Deep MIMO Detection
Deep MIMO Detection
N. Samuel
Tzvi Diskin
A. Wiesel
119
407
0
04 Jun 2017
Deep Sets
Deep Sets
Manzil Zaheer
Satwik Kottur
Siamak Ravanbakhsh
Barnabás Póczós
Ruslan Salakhutdinov
Alex Smola
225
2,441
0
10 Mar 2017
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNN
SSL
447
28,901
0
09 Sep 2016
Layer Normalization
Layer Normalization
Jimmy Lei Ba
J. Kiros
Geoffrey E. Hinton
254
10,412
0
21 Jul 2016
Convolutional Neural Networks on Graphs with Fast Localized Spectral
  Filtering
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
M. Defferrard
Xavier Bresson
P. Vandergheynst
GNN
253
7,622
0
30 Jun 2016
Maximal Sparsity with Deep Networks?
Maximal Sparsity with Deep Networks?
Bo Xin
Yizhou Wang
Wen Gao
David Wipf
3DPC
52
167
0
05 May 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.4K
192,638
0
10 Dec 2015
Image Super-Resolution Using Deep Convolutional Networks
Image Super-Resolution Using Deep Convolutional Networks
Chao Dong
Chen Change Loy
Kaiming He
Xiaoou Tang
SupR
111
8,048
0
31 Dec 2014
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
850
149,474
0
22 Dec 2014
Spectral Networks and Locally Connected Networks on Graphs
Spectral Networks and Locally Connected Networks on Graphs
Joan Bruna
Wojciech Zaremba
Arthur Szlam
Yann LeCun
GNN
141
4,856
0
21 Dec 2013
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