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Generating High Dimensional User-Specific Wireless Channels using
  Diffusion Models

Generating High Dimensional User-Specific Wireless Channels using Diffusion Models

5 September 2024
Taekyun Lee
Juseong Park
Hyeji Kim
Jeffrey G. Andrews
    DiffM
ArXivPDFHTML

Papers citing "Generating High Dimensional User-Specific Wireless Channels using Diffusion Models"

11 / 11 papers shown
Title
On diffusion-based generative models and their error bounds: The
  log-concave case with full convergence estimates
On diffusion-based generative models and their error bounds: The log-concave case with full convergence estimates
Stefano Bruno
Ying Zhang
Dong-Young Lim
Ömer Deniz Akyildiz
Sotirios Sabanis
DiffM
62
4
0
22 Nov 2023
Generative Diffusion Models for Radio Wireless Channel Modelling and
  Sampling
Generative Diffusion Models for Radio Wireless Channel Modelling and Sampling
Ushnish Sengupta
Chin-Kuo Jao
A. Bernacchia
Sattar Vakili
Da-shan Shiu
DiffM
52
14
0
10 Aug 2023
Score-based Source Separation with Applications to Digital Communication
  Signals
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
53
7
0
26 Jun 2023
Over-the-Air Design of GAN Training for mmWave MIMO Channel Estimation
Over-the-Air Design of GAN Training for mmWave MIMO Channel Estimation
Akash S. Doshi
Manan Gupta
J. Andrews
56
22
0
25 May 2022
MIMO Channel Estimation using Score-Based Generative Models
MIMO Channel Estimation using Score-Based Generative Models
Marius Arvinte
Jonathan I. Tamir
DiffM
42
54
0
14 Apr 2022
Diffusion Autoencoders: Toward a Meaningful and Decodable Representation
Diffusion Autoencoders: Toward a Meaningful and Decodable Representation
Konpat Preechakul
Nattanat Chatthee
Suttisak Wizadwongsa
Supasorn Suwajanakorn
SyDa
DiffM
114
431
0
30 Nov 2021
Diffusion Models Beat GANs on Image Synthesis
Diffusion Models Beat GANs on Image Synthesis
Prafulla Dhariwal
Alex Nichol
222
7,831
0
11 May 2021
Denoising Diffusion Implicit Models
Denoising Diffusion Implicit Models
Jiaming Song
Chenlin Meng
Stefano Ermon
VLM
DiffM
260
7,356
0
06 Oct 2020
Generative Modeling by Estimating Gradients of the Data Distribution
Generative Modeling by Estimating Gradients of the Data Distribution
Yang Song
Stefano Ermon
SyDa
DiffM
258
3,902
0
12 Jul 2019
Improved Training of Wasserstein GANs
Improved Training of Wasserstein GANs
Ishaan Gulrajani
Faruk Ahmed
Martín Arjovsky
Vincent Dumoulin
Aaron Courville
GAN
201
9,546
0
31 Mar 2017
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
1.8K
77,133
0
18 May 2015
1