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Over-the-Air Design of GAN Training for mmWave MIMO Channel Estimation

Over-the-Air Design of GAN Training for mmWave MIMO Channel Estimation

25 May 2022
Akash S. Doshi
Manan Gupta
J. Andrews
ArXivPDFHTML

Papers citing "Over-the-Air Design of GAN Training for mmWave MIMO Channel Estimation"

26 / 26 papers shown
Title
MIMO-GAN: Generative MIMO Channel Modeling
MIMO-GAN: Generative MIMO Channel Modeling
Tribhuvanesh Orekondy
Arash Behboodi
Joseph B. Soriaga
GAN
33
18
0
16 Mar 2022
Generative Adversarial Networks
Generative Adversarial Networks
Gilad Cohen
Raja Giryes
GAN
203
30,069
0
01 Mar 2022
Score-Based Generative Models for Robust Channel Estimation
Score-Based Generative Models for Robust Channel Estimation
Marius Arvinte
Jonathan I. Tamir
DiffM
34
7
0
16 Nov 2021
Robust Compressed Sensing MRI with Deep Generative Priors
Robust Compressed Sensing MRI with Deep Generative Priors
A. Jalal
Marius Arvinte
Giannis Daras
Eric Price
A. Dimakis
Jonathan I. Tamir
MedIm
73
335
0
03 Aug 2021
Adaptive Quantization of Model Updates for Communication-Efficient
  Federated Learning
Adaptive Quantization of Model Updates for Communication-Efficient Federated Learning
Divyansh Jhunjhunwala
Advait Gadhikar
Gauri Joshi
Yonina C. Eldar
FedML
MQ
41
108
0
08 Feb 2021
DeepWiPHY: Deep Learning-based Receiver Design and Dataset for IEEE
  802.11ax Systems
DeepWiPHY: Deep Learning-based Receiver Design and Dataset for IEEE 802.11ax Systems
Yize Zhang
Akash S. Doshi
Rob Liston
Wai-tian Tan
Xiaoqing Zhu
J. Andrews
R. Heath
33
31
0
19 Oct 2020
Robust Compressed Sensing using Generative Models
Robust Compressed Sensing using Generative Models
A. Jalal
Liu Liu
A. Dimakis
Constantine Caramanis
53
39
0
16 Jun 2020
Deep Learning Techniques for Inverse Problems in Imaging
Deep Learning Techniques for Inverse Problems in Imaging
Greg Ongie
A. Jalal
Christopher A. Metzler
Richard G. Baraniuk
A. Dimakis
Rebecca Willett
67
526
0
12 May 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
319
42,038
0
03 Dec 2019
Generative Models for Effective ML on Private, Decentralized Datasets
Generative Models for Effective ML on Private, Decentralized Datasets
S. Augenstein
H. B. McMahan
Daniel Ramage
Swaroop Indra Ramaswamy
Peter Kairouz
Mingqing Chen
Rajiv Mathews
Blaise Agüera y Arcas
SyDa
74
182
0
15 Nov 2019
Model Pruning Enables Efficient Federated Learning on Edge Devices
Model Pruning Enables Efficient Federated Learning on Edge Devices
Yuang Jiang
Shiqiang Wang
Victor Valls
Bongjun Ko
Wei-Han Lee
Kin K. Leung
Leandros Tassiulas
56
454
0
26 Sep 2019
Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal
  Statistical Rate and Global Landscape Analysis
Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis
Shuang Qiu
Xiaohan Wei
Zhuoran Yang
57
25
0
14 Aug 2019
Towards Federated Learning at Scale: System Design
Towards Federated Learning at Scale: System Design
Keith Bonawitz
Hubert Eichner
W. Grieskamp
Dzmitry Huba
A. Ingerman
...
H. B. McMahan
Timon Van Overveldt
David Petrou
Daniel Ramage
Jason Roselander
FedML
101
2,652
0
04 Feb 2019
MD-GAN: Multi-Discriminator Generative Adversarial Networks for
  Distributed Datasets
MD-GAN: Multi-Discriminator Generative Adversarial Networks for Distributed Datasets
Corentin Hardy
Erwan Le Merrer
B. Sericola
GAN
110
181
0
09 Nov 2018
MEGAN: Mixture of Experts of Generative Adversarial Networks for
  Multimodal Image Generation
MEGAN: Mixture of Experts of Generative Adversarial Networks for Multimodal Image Generation
D. Park
Seungjoo Yoo
Hyojin Bahng
Jaegul Choo
Noseong Park
GAN
31
24
0
07 May 2018
Physical Layer Communications System Design Over-the-Air Using
  Adversarial Networks
Physical Layer Communications System Design Over-the-Air Using Adversarial Networks
Tim O'Shea
Tamoghna Roy
Nathan E. West
Benjamin C. Hilburn
GAN
29
109
0
08 Mar 2018
Task-Aware Compressed Sensing with Generative Adversarial Networks
Task-Aware Compressed Sensing with Generative Adversarial Networks
Maya Kabkab
Pouya Samangouei
Rama Chellappa
GAN
66
78
0
05 Feb 2018
Real-valued (Medical) Time Series Generation with Recurrent Conditional
  GANs
Real-valued (Medical) Time Series Generation with Recurrent Conditional GANs
Cristóbal Esteban
Stephanie L. Hyland
Gunnar Rätsch
GAN
SyDa
MedIm
93
781
0
08 Jun 2017
VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational
  Learning
VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational Learning
Akash Srivastava
Lazar Valkov
Chris Russell
Michael U. Gutmann
Charles Sutton
SyDa
GAN
60
677
0
22 May 2017
Improved Training of Wasserstein GANs
Improved Training of Wasserstein GANs
Ishaan Gulrajani
Faruk Ahmed
Martín Arjovsky
Vincent Dumoulin
Aaron Courville
GAN
159
9,509
0
31 Mar 2017
Compressed Sensing using Generative Models
Compressed Sensing using Generative Models
Ashish Bora
A. Jalal
Eric Price
A. Dimakis
114
804
0
09 Mar 2017
Unsupervised Representation Learning with Deep Convolutional Generative
  Adversarial Networks
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
Alec Radford
Luke Metz
Soumith Chintala
GAN
OOD
237
13,968
0
19 Nov 2015
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
391
43,154
0
11 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.2K
149,474
0
22 Dec 2014
Convolutional Neural Networks at Constrained Time Cost
Convolutional Neural Networks at Constrained Time Cost
Kaiming He
Jian Sun
3DV
65
1,291
0
04 Dec 2014
Conditional Generative Adversarial Nets
Conditional Generative Adversarial Nets
M. Berk Mirza
Simon Osindero
GAN
SyDa
AI4CE
225
10,365
0
06 Nov 2014
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