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Data-Driven Symbol Detection via Model-Based Machine Learning

Data-Driven Symbol Detection via Model-Based Machine Learning

Symposium on Software Performance (SP), 2020
14 February 2020
Nariman Farsad
Stefano Rini
Andrea J. Goldsmith
Yonina C. Eldar
ArXiv (abs)PDFHTML

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

16 / 16 papers shown
Transformer-Based Decoding in Concatenated Coding Schemes Under Synchronization Errors
Transformer-Based Decoding in Concatenated Coding Schemes Under Synchronization ErrorsInternational Symposium on Information Theory (ISIT), 2025
Julian Streit
Franziska Weindel
Reinhard Heckel
163
1
0
02 Nov 2025
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 KnowledgeIEEE Wireless Communications and Networking Conference (WCNC), 2024
Chin-Hung Chen
B. Karanov
Wim J. van Houtum
Wu Yan
Alex Young
Alex Alvarado
360
3
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 ChannelsIEEE Transactions on Communications (IEEE Trans. Commun.), 2024
Guochen Ma
Xiaopeng Jiao
Jianjun Mu
Hui Han
Yaming Yang
401
8
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
256
14
0
07 Dec 2023
Deep Graph Unfolding for Beamforming in MU-MIMO Interference Networks
Deep Graph Unfolding for Beamforming in MU-MIMO Interference NetworksIEEE Transactions on Wireless Communications (IEEE TWC), 2023
Arindam Chowdhury
Gunjan Verma
A. Swami
Santiago Segarra
235
23
0
02 Apr 2023
Decentralized Low-Latency Collaborative Inference via Ensembles on the
  Edge
Decentralized Low-Latency Collaborative Inference via Ensembles on the EdgeIEEE Transactions on Wireless Communications (TWC), 2022
M. Malka
Erez Farhan
Hai Morgenstern
Stefano Rini
FedML
274
23
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 SensingIEEE Journal on Selected Topics in Signal Processing (IEEE JSTSP), 2022
Wei Xu
Zhaohui Yang
Derrick Wing Kwan Ng
Marco Levorato
Yonina C. Eldar
Mérouane Debbah
327
582
0
01 Jun 2022
Semantic Information Recovery in Wireless Networks
Semantic Information Recovery in Wireless NetworksItalian National Conference on Sensors (INS), 2022
Edgar Beck
C. Bockelmann
Armin Dekorsy
413
35
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
251
4
0
14 Oct 2021
LoRD-Net: Unfolded Deep Detection Network with Low-Resolution Receivers
LoRD-Net: Unfolded Deep Detection Network with Low-Resolution ReceiversIEEE Transactions on Signal Processing (IEEE TSP), 2021
Shahin Khobahi
Stefano Rini
M. Soltanalian
Yonina C. Eldar
240
45
0
05 Feb 2021
Unfolded Algorithms for Deep Phase Retrieval
Unfolded Algorithms for Deep Phase Retrieval
Naveed Naimipour
Shahin Khobahi
M. Soltanalian
184
8
0
21 Dec 2020
Model-Based Deep Learning
Model-Based Deep LearningProceedings of the IEEE (Proc. IEEE), 2020
Stefano Rini
Jay Whang
Yonina C. Eldar
A. Dimakis
603
472
0
15 Dec 2020
FlowStep3D: Model Unrolling for Self-Supervised Scene Flow Estimation
FlowStep3D: Model Unrolling for Self-Supervised Scene Flow EstimationComputer Vision and Pattern Recognition (CVPR), 2020
Yair Kittenplon
Yonina C. Eldar
D. Raviv
3DPC
354
126
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 unfoldingIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020
Arindam Chowdhury
Gunjan Verma
Chirag R. Rao
A. Swami
Santiago Segarra
353
18
0
18 Nov 2020
UPR: A Model-Driven Architecture for Deep Phase Retrieval
UPR: A Model-Driven Architecture for Deep Phase RetrievalAsilomar Conference on Signals, Systems and Computers (Asilomar), 2020
Naveed Naimipour
Shahin Khobahi
M. Soltanalian
179
19
0
09 Mar 2020
Algorithm Unrolling: Interpretable, Efficient Deep Learning for Signal
  and Image Processing
Algorithm Unrolling: Interpretable, Efficient Deep Learning for Signal and Image ProcessingIEEE Signal Processing Magazine (IEEE SPM), 2019
V. Monga
Yuelong Li
Yonina C. Eldar
546
1,297
0
22 Dec 2019
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