Learning to Detect

19 May 2018

Papers citing "Learning to Detect"

50 / 94 papers shown

Title
ISDNN: A Deep Neural Network for Channel Estimation in Massive MIMO systems Do Hai Son Vu Tung Lam T. T. T. Quynh 22 0 0 26 Oct 2024
Rapid and Power-Aware Learned Optimization for Modular Receive Beamforming Mathieu dÁquin Nir Shlezinger 16 0 0 01 Aug 2024
GCEPNet: Graph Convolution-Enhanced Expectation Propagation for Massive MIMO Detection Qincheng Lu Sitao Luan Xiaoming Chang 25 5 0 23 Apr 2024
Truncated Polynomial Expansion-Based Detection in Massive MIMO: A Model-Driven Deep Learning Approach Mohammad Kazem Izadinasab A. Shaban O. Damen 24 0 0 19 Feb 2024
Deep Learning for Computer Vision based Activity Recognition and Fall Detection of the Elderly: a Systematic Review F. X. Gaya-Morey Cristina Manresa-Yee Jose Maria Buades Rubio 31 12 0 22 Jan 2024
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
Generative AI for Physical Layer Communications: A Survey Nguyen Van Huynh Jiacheng Wang Hongyang Du D. Hoang Dusit Niyato Diep N. Nguyen Dong In Kim K. B. Letaief AI4CE 41 31 0 09 Dec 2023
Model-based Deep Learning for Beam Prediction based on a Channel Chart Taha Yassine Baptiste Chatelier Vincent Corlay M. Crussiére S. Paquelet Olav Tirkkonen Luc Le Magoarou 27 5 0 04 Dec 2023
CLIP-DIY: CLIP Dense Inference Yields Open-Vocabulary Semantic Segmentation For-Free Monika Wysoczañska Michael Ramamonjisoa Tomasz Trzciñski Oriane Siméoni 3DV VLM 34 20 0 25 Sep 2023
Limited Communications Distributed Optimization via Deep Unfolded Distributed ADMM Yoav Noah Nir Shlezinger 33 4 0 21 Sep 2023
SICNN: Soft Interference Cancellation Inspired Neural Network Equalizers Stefan Baumgartner O. Lang M. Huemer 42 1 0 24 Aug 2023
Deep Unfolded Simulated Bifurcation for Massive MIMO Signal Detection Satoshi Takabe 13 1 0 28 Jun 2023
Score-based Source Separation with Applications to Digital Communication Signals T. Jayashankar Gary C. F. Lee A. Lancho Amir Weiss Yury Polyanskiy Greg Wornell DiffM 29 7 0 26 Jun 2023
InstMove: Instance Motion for Object-centric Video Segmentation Qihao Liu Junfeng Wu Yi-Xin Jiang Xiang Bai Alan Yuille S. Bai OCL VOS 42 6 0 14 Mar 2023
A Comparative Study of Deep Learning and Iterative Algorithms for Joint Channel Estimation and Signal Detection in OFDM Systems Haocheng Ju Haimiao Zhang Lin Li Xiao Li B. Dong BDL 32 2 0 07 Mar 2023
Hubbard-Stratonovich Detector for Simple Trainable MIMO Signal Detection Satoshi Takabe Takashi Abe 12 1 0 09 Feb 2023
Large Deviations for Classification Performance Analysis of Machine Learning Systems P. Braca L. Millefiori A. Aubry A. De Maio P. Willett 15 3 0 16 Jan 2023
Low PAPR MIMO-OFDM Design Based on Convolutional Autoencoder Yara Huleihel Haim Permuter 33 6 0 11 Jan 2023
Machine Learning for Large-Scale Optimization in 6G Wireless Networks Yandong Shi Lixiang Lian Yuanming Shi Zixin Wang Yong Zhou Liqun Fu Lin Bai Jun Zhang Wei Zhang AI4CE 42 76 0 03 Jan 2023
DUIDD: Deep-Unfolded Interleaved Detection and Decoding for MIMO Wireless Systems Reinhard Wiesmayr C. Dick J. Hoydis Christoph Studer 15 11 0 15 Dec 2022
Channel charting based beamforming Luc Le Magoarou Taha Yassine S. Paquelet M. Crussiére 32 9 0 06 Dec 2022
A Model-based GNN for Learning Precoding Jia Guo Chenyang Yang 56 10 0 01 Dec 2022
PatchRefineNet: Improving Binary Segmentation by Incorporating Signals from Optimal Patch-wise Binarization S. Nagendra Chaopeng Shen Daniel Kifer MQ 38 8 0 12 Nov 2022
Bit Error and Block Error Rate Training for ML-Assisted Communication Reinhard Wiesmayr Gian Marti C. Dick Haochuan Song Christoph Studer 38 9 0 25 Oct 2022
Detect to Learn: Structure Learning with Attention and Decision Feedback for MIMO-OFDM Receive Processing Jiarui Xu Lianjun Li Lizhong Zheng Lingjia Liu 28 9 0 17 Aug 2022
Interference Cancellation GAN Framework for Dynamic Channels Hung T. Nguyen S. Bottone Kwang Taik Kim M. Chiang H. Vincent Poor BDL 24 0 0 17 Aug 2022
CFARnet: deep learning for target detection with constant false alarm rate Tzvi Diskin Yiftach Beer Uri Okun A. Wiesel 16 9 0 04 Aug 2022
Statistical Hypothesis Testing Based on Machine Learning: Large Deviations Analysis P. Braca L. Millefiori A. Aubry S. Maranò A. De Maio P. Willett 29 12 0 22 Jul 2022
Graph Neural Network Aided MU-MIMO Detectors Alva Kosasih Vincent Onasis Vera Miloslavskaya Wibowo Hardjawana V. Andrean Branka Vucetic 13 34 0 19 Jun 2022
Learning to Detect with Constant False Alarm Rate Tzvi Diskin Uri Okun A. Wiesel 24 8 0 12 Jun 2022
Layered Depth Refinement with Mask Guidance Seunggeun Kim Jianming Zhang Simon Niklaus Yifei Fan Simon Chen Zhe-nan Lin Munchurl Kim 31 8 0 07 Jun 2022
Neural Decoding with Optimization of Node Activations Eliya Nachmani Yair Be’ery 30 11 0 01 Jun 2022
MetaSSD: Meta-Learned Self-Supervised Detection M. Park Jungseul Ok Yo-Seb Jeon Dongwoo Kim 19 1 0 30 May 2022
CholecTriplet2021: A benchmark challenge for surgical action triplet recognition C. Nwoye Deepak Alapatt Tong Yu Armine Vardazaryan Fangfang Xia ... Didier Mutter Pietro Mascagni B. Seeliger Cristians Gonzalez N. Padoy 25 50 0 10 Apr 2022
Neuroplastic graph attention networks for nuclei segmentation in histopathology images Yoav Alon Huiyu Zhou GNN 27 3 0 10 Jan 2022
Adversarial Neural Networks for Error Correcting Codes Hung T. Nguyen S. Bottone Kwang Taik Kim M. Chiang H. Vincent Poor 14 3 0 21 Dec 2021
Conceptual Expansion Neural Architecture Search (CENAS) M. Singamsetti Anmol Mahajan Matthew J. Guzdial 3DPC 22 1 0 07 Oct 2021
RC-Struct: A Structure-based Neural Network Approach for MIMO-OFDM Detection Jiarui Xu Zhou Zhou Lianjun Li Lizhong Zheng Lingjia Liu 35 24 0 03 Oct 2021
Learn to Communicate with Neural Calibration: Scalability and Generalization Yifan Ma Yifei Shen Xianghao Yu Jun Zhang S. H. Song Khaled B. Letaief 42 12 0 01 Oct 2021
Learning to Estimate RIS-Aided mmWave Channels Jiguang He H. Wymeersch M. Di Renzo M. Juntti 28 31 0 27 Jul 2021
Fixed points of nonnegative neural networks Tomasz Piotrowski Renato L. G. Cavalcante Mateusz Gabor 52 7 0 30 Jun 2021
HybridDeepRx: Deep Learning Receiver for High-EVM Signals Jaakko Pihlajasalo D. Korpi Mikko Honkala Janne M. J. Huttunen T. Riihonen J. Talvitie Alberto Brihuega M. Uusitalo M. Valkama 36 12 0 30 Jun 2021
End-to-End Learning for Uplink MU-SIMO Joint Transmitter and Non-Coherent Receiver Design in Fading Channels Songyan Xue Yi Ma N. Yi 19 8 0 04 May 2021
Learning to Continuously Optimize Wireless Resource in a Dynamic Environment: A Bilevel Optimization Perspective Haoran Sun Wenqiang Pu Xiao Fu Tsung-Hui Chang Mingyi Hong 44 30 0 03 May 2021
Attention-guided Image Compression by Deep Reconstruction of Compressive Sensed Saliency Skeleton Xi Zhang Xiaolin Wu 27 27 0 29 Mar 2021
CMDNet: Learning a Probabilistic Relaxation of Discrete Variables for Soft Detection with Low Complexity Edgar Beck C. Bockelmann Armin Dekorsy 20 12 0 25 Feb 2021
Learning Task-Oriented Communication for Edge Inference: An Information Bottleneck Approach Jiawei Shao Yuyi Mao Jun Zhang 49 212 0 08 Feb 2021
LoRD-Net: Unfolded Deep Detection Network with Low-Resolution Receivers Shahin Khobahi Nir Shlezinger M. Soltanalian Yonina C. Eldar 16 38 0 05 Feb 2021
Deep Reinforcement Learning Aided Monte Carlo Tree Search for MIMO Detection Tz-Wei Mo Ronald Y. Chang Te-Yi Kan 34 1 0 30 Jan 2021
Harnessing Tensor Structures -- Multi-Mode Reservoir Computing and Its Application in Massive MIMO Zhou Zhou Lingjia Liu Jiarui Xu 22 8 0 25 Jan 2021