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Data-Driven Symbol Detection via Model-Based Machine Learning

Data-Driven Symbol Detection via Model-Based Machine Learning

14 February 2020
Nariman Farsad
Nir Shlezinger
Andrea J. Goldsmith
Yonina C. Eldar
ArXivPDFHTML

Papers citing "Data-Driven Symbol Detection via Model-Based Machine Learning"

17 / 17 papers shown
Title
On the Robustness of Deep Learning-aided Symbol Detectors to Varying
  Conditions and Imperfect Channel Knowledge
On the Robustness of Deep Learning-aided Symbol Detectors to Varying Conditions and Imperfect Channel Knowledge
Chin-Hung Chen
B. Karanov
Wim J. van Houtum
Wu Yan
Alex Young
Alex Alvarado
24
2
0
23 Jan 2024
Deep Learning-Based Detection for Marker Codes over Insertion and
  Deletion Channels
Deep Learning-Based Detection for Marker Codes over Insertion and Deletion Channels
Guochen Ma
Xiaopeng Jiao
Jianjun Mu
Hui Han
Yaming Yang
18
4
0
02 Jan 2024
Federated Learning for 6G: Paradigms, Taxonomy, Recent Advances and
  Insights
Federated Learning for 6G: Paradigms, Taxonomy, Recent Advances and Insights
Maryam Ben Driss
Essaid Sabir
H. Elbiaze
Walid Saad
28
7
0
07 Dec 2023
Deep Graph Unfolding for Beamforming in MU-MIMO Interference Networks
Deep Graph Unfolding for Beamforming in MU-MIMO Interference Networks
Arindam Chowdhury
Gunjan Verma
A. Swami
Santiago Segarra
15
12
0
02 Apr 2023
Decentralized Low-Latency Collaborative Inference via Ensembles on the
  Edge
Decentralized Low-Latency Collaborative Inference via Ensembles on the Edge
M. Malka
Erez Farhan
Hai Morgenstern
Nir Shlezinger
FedML
13
12
0
07 Jun 2022
Edge Learning for B5G Networks with Distributed Signal Processing:
  Semantic Communication, Edge Computing, and Wireless Sensing
Edge Learning for B5G Networks with Distributed Signal Processing: Semantic Communication, Edge Computing, and Wireless Sensing
Wei Xu
Zhaohui Yang
Derrick Wing Kwan Ng
Marco Levorato
Yonina C. Eldar
Mérouane Debbah
28
398
0
01 Jun 2022
Semantic Information Recovery in Wireless Networks
Semantic Information Recovery in Wireless Networks
Edgar Beck
C. Bockelmann
Armin Dekorsy
18
22
0
28 Apr 2022
Stability Analysis of Unfolded WMMSE for Power Allocation
Stability Analysis of Unfolded WMMSE for Power Allocation
Arindam Chowdhury
Fernando Gama
Santiago Segarra
38
3
0
14 Oct 2021
LoRD-Net: Unfolded Deep Detection Network with Low-Resolution Receivers
LoRD-Net: Unfolded Deep Detection Network with Low-Resolution Receivers
Shahin Khobahi
Nir Shlezinger
M. Soltanalian
Yonina C. Eldar
11
37
0
05 Feb 2021
Unfolded Algorithms for Deep Phase Retrieval
Unfolded Algorithms for Deep Phase Retrieval
Naveed Naimipour
Shahin Khobahi
M. Soltanalian
20
5
0
21 Dec 2020
Model-Based Deep Learning
Model-Based Deep Learning
Nir Shlezinger
Jay Whang
Yonina C. Eldar
A. Dimakis
26
315
0
15 Dec 2020
FlowStep3D: Model Unrolling for Self-Supervised Scene Flow Estimation
FlowStep3D: Model Unrolling for Self-Supervised Scene Flow Estimation
Yair Kittenplon
Yonina C. Eldar
D. Raviv
3DPC
16
115
0
19 Nov 2020
Efficient power allocation using graph neural networks and deep
  algorithm unfolding
Efficient power allocation using graph neural networks and deep algorithm unfolding
Arindam Chowdhury
Gunjan Verma
Chirag R. Rao
A. Swami
Santiago Segarra
41
14
0
18 Nov 2020
UPR: A Model-Driven Architecture for Deep Phase Retrieval
UPR: A Model-Driven Architecture for Deep Phase Retrieval
Naveed Naimipour
Shahin Khobahi
M. Soltanalian
21
17
0
09 Mar 2020
DeepSIC: Deep Soft Interference Cancellation for Multiuser MIMO
  Detection
DeepSIC: Deep Soft Interference Cancellation for Multiuser MIMO Detection
Nir Shlezinger
Rong Fu
Yonina C. Eldar
37
102
0
08 Feb 2020
Algorithm Unrolling: Interpretable, Efficient Deep Learning for Signal
  and Image Processing
Algorithm Unrolling: Interpretable, Efficient Deep Learning for Signal and Image Processing
V. Monga
Yuelong Li
Yonina C. Eldar
26
996
0
22 Dec 2019
An Introduction to Deep Learning for the Physical Layer
An Introduction to Deep Learning for the Physical Layer
Tim O'Shea
J. Hoydis
AI4CE
89
2,171
0
02 Feb 2017
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