Blind Estimation of a Doubly Selective OFDM Channel: A Deep Learning Algorithm and Theory

30 May 2022

Papers citing "Blind Estimation of a Doubly Selective OFDM Channel: A Deep Learning Algorithm and Theory"

38 / 38 papers shown

Title
Fundamental Limits of Deep Learning-Based Binary Classifiers Trained with Hinge Loss T. Getu Georges Kaddoum M. Bennis 64 1 0 13 Sep 2023
Error Bounds for a Matrix-Vector Product Approximation with Deep ReLU Neural Networks T. Getu 47 2 0 25 Nov 2021
Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications Khaled B. Letaief Yuanming Shi Jianmin Lu Jianhua Lu 73 418 0 24 Nov 2021
The Modern Mathematics of Deep Learning Julius Berner Philipp Grohs Gitta Kutyniok P. Petersen 31 116 0 09 May 2021
Deep learning: a statistical viewpoint Peter L. Bartlett Andrea Montanari Alexander Rakhlin 32 272 0 16 Mar 2021
Review and Comparison of Commonly Used Activation Functions for Deep Neural Networks Tomasz Szandała 98 282 0 15 Oct 2020
The Global Landscape of Neural Networks: An Overview Ruoyu Sun Dawei Li Shiyu Liang Tian Ding R. Srikant 46 86 0 02 Jul 2020
Optimization for deep learning: theory and algorithms Ruoyu Sun ODL 70 168 0 19 Dec 2019
How Much Over-parameterization Is Sufficient to Learn Deep ReLU Networks? Zixiang Chen Yuan Cao Difan Zou Quanquan Gu 59 122 0 27 Nov 2019
Theoretical Issues in Deep Networks: Approximation, Optimization and Generalization T. Poggio Andrzej Banburski Q. Liao ODL 60 164 0 25 Aug 2019
Machine Learning in the Air Deniz Gunduz Paul de Kerret N. Sidiropoulos David Gesbert C. Murthy M. Schaar AI4CE 41 195 0 28 Apr 2019
Deep Learning for Physical-Layer 5G Wireless Techniques: Opportunities, Challenges and Solutions Hongji Huang Song Guo Guan Gui Zhen Yang Jianhua Zhang H. Sari F. Adachi AI4CE 34 337 0 21 Apr 2019
A Selective Overview of Deep Learning Jianqing Fan Cong Ma Yiqiao Zhong BDL VLM 118 136 0 10 Apr 2019
Towards moderate overparameterization: global convergence guarantees for training shallow neural networks Samet Oymak Mahdi Soltanolkotabi 43 320 0 12 Feb 2019
Generalization Error Bounds of Gradient Descent for Learning Over-parameterized Deep ReLU Networks Yuan Cao Quanquan Gu ODL MLT AI4CE 65 155 0 04 Feb 2019
Deconstructing Generative Adversarial Networks Banghua Zhu Jiantao Jiao David Tse 53 49 0 27 Jan 2019
Reconciling modern machine learning practice and the bias-variance trade-off M. Belkin Daniel J. Hsu Siyuan Ma Soumik Mandal 176 1,628 0 28 Dec 2018
On Lazy Training in Differentiable Programming Lénaïc Chizat Edouard Oyallon Francis R. Bach 92 823 0 19 Dec 2018
Products of Many Large Random Matrices and Gradients in Deep Neural Networks Boris Hanin Mihai Nica 42 79 0 14 Dec 2018
Stochastic Gradient Descent Optimizes Over-parameterized Deep ReLU Networks Difan Zou Yuan Cao Dongruo Zhou Quanquan Gu ODL 135 448 0 21 Nov 2018
Learning and Generalization in Overparameterized Neural Networks, Going Beyond Two Layers Zeyuan Allen-Zhu Yuanzhi Li Yingyu Liang MLT 138 769 0 12 Nov 2018
A Convergence Theory for Deep Learning via Over-Parameterization Zeyuan Allen-Zhu Yuanzhi Li Zhao Song AI4CE ODL 192 1,457 0 09 Nov 2018
Applications of Deep Reinforcement Learning in Communications and Networking: A Survey Nguyen Cong Luong D. Hoang Shimin Gong Dusit Niyato Ping Wang Ying-Chang Liang Dong In Kim OffRL 74 1,430 0 18 Oct 2018
Deep Reinforcement Learning Yuxi Li VLM OffRL 94 144 0 15 Oct 2018
Deep Learning-Based Channel Estimation Mehran Soltani V. Pourahmadi A. Mirzaei H. Sheikhzadeh 25 507 0 13 Oct 2018
A Convergence Analysis of Gradient Descent for Deep Linear Neural Networks Sanjeev Arora Nadav Cohen Noah Golowich Wei Hu 100 284 0 04 Oct 2018
Deep Learning for Generic Object Detection: A Survey Li Liu Wanli Ouyang Xiaogang Wang Paul Fieguth Jie Chen Xinwang Liu M. Pietikäinen ObjD VLM OOD 146 2,438 0 06 Sep 2018
Neural Tangent Kernel: Convergence and Generalization in Neural Networks Arthur Jacot Franck Gabriel Clément Hongler 198 3,160 0 20 Jun 2018
Deep Learning Classification of 3.5 GHz Band Spectrograms with Applications to Spectrum Sensing W. Max Lees Adam Wunderlich Peter J. Jeavons P. Hale M. Souryal 34 88 0 19 Jun 2018
Quantum Entanglement in Deep Learning Architectures Yoav Levine Or Sharir Nadav Cohen Amnon Shashua 64 182 0 26 Mar 2018
Deep Learning in Mobile and Wireless Networking: A Survey Chaoyun Zhang P. Patras Hamed Haddadi 82 1,308 0 12 Mar 2018
Theoretical insights into the optimization landscape of over-parameterized shallow neural networks Mahdi Soltanolkotabi Adel Javanmard Jason D. Lee 118 417 0 16 Jul 2017
An Introduction to Deep Learning for the Physical Layer Tim O'Shea J. Hoydis AI4CE 128 2,188 0 02 Feb 2017
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification Kaiming He Xinming Zhang Shaoqing Ren Jian Sun VLM 206 18,534 0 06 Feb 2015
An Introduction to Matrix Concentration Inequalities J. Tropp 82 1,139 0 07 Jan 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 940 149,474 0 22 Dec 2014
On the Computational Efficiency of Training Neural Networks Roi Livni Shai Shalev-Shwartz Ohad Shamir 89 479 0 05 Oct 2014
Practical recommendations for gradient-based training of deep architectures Yoshua Bengio 3DH ODL 148 2,195 0 24 Jun 2012