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Diffusion Models for Accurate Channel Distribution Generation

19 September 2023

Papers citing "Diffusion Models for Accurate Channel Distribution Generation"

20 / 20 papers shown

Title
Diffusion-based Generative Prior for Low-Complexity MIMO Channel Estimation B. Fesl Michael Baur Florian Strasser M. Joham Wolfgang Utschick DiffM 73 17 0 06 Mar 2024
Common Diffusion Noise Schedules and Sample Steps are Flawed Shanchuan Lin Bingchen Liu Jiashi Li Xiao Yang DiffM 78 228 0 15 May 2023
ProductAE: Toward Deep Learning Driven Error-Correction Codes of Large Dimensions Mohammadreza Jamali Hamid Saber Homayoon Hatami J. Bae 63 3 0 29 Mar 2023
Diffusion Models in Vision: A Survey Florinel-Alin Croitoru Vlad Hondru Radu Tudor Ionescu M. Shah DiffM VLM MedIm 327 1,238 0 10 Sep 2022
MIMO-GAN: Generative MIMO Channel Modeling Tribhuvanesh Orekondy Arash Behboodi Joseph B. Soriaga GAN 45 20 0 16 Mar 2022
Hybrid Neural Coded Modulation: Design and Training Methods S. Lim Jiyong Han Wonjong Noh Yujae Song Sang-Woon Jeon 62 5 0 04 Feb 2022
Variational Diffusion Models Diederik P. Kingma Tim Salimans Ben Poole Jonathan Ho DiffM 198 1,138 0 01 Jul 2021
Improved Denoising Diffusion Probabilistic Models Alex Nichol Prafulla Dhariwal DiffM 352 3,716 0 18 Feb 2021
Score-Based Generative Modeling through Stochastic Differential Equations Yang Song Jascha Narain Sohl-Dickstein Diederik P. Kingma Abhishek Kumar Stefano Ermon Ben Poole DiffM SyDa 353 6,586 0 26 Nov 2020
Denoising Diffusion Implicit Models Jiaming Song Chenlin Meng Stefano Ermon VLM DiffM 295 7,492 0 06 Oct 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 721 18,364 0 19 Jun 2020
Autoencoder-Based Error Correction Coding for One-Bit Quantization Eren Balevi J. Andrews MQ 31 37 0 24 Sep 2019
Generative Modeling by Estimating Gradients of the Data Distribution Yang Song Stefano Ermon SyDa DiffM 258 3,961 0 12 Jul 2019
Approximating the Void: Learning Stochastic Channel Models from Observation with Variational Generative Adversarial Networks Tim O'Shea Tamoghna Roy Nathan E. West GAN 47 129 0 16 May 2018
Physical Layer Communications System Design Over-the-Air Using Adversarial Networks Tim O'Shea Tamoghna Roy Nathan E. West Benjamin C. Hilburn GAN 48 109 0 08 Mar 2018
An Introduction to Deep Learning for the Physical Layer Tim O'Shea J. Hoydis AI4CE 146 2,203 0 02 Feb 2017
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks Alec Radford Luke Metz Soumith Chintala GAN OOD 273 14,027 0 19 Nov 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.9K 77,441 0 18 May 2015
Deep Unsupervised Learning using Nonequilibrium Thermodynamics Jascha Narain Sohl-Dickstein Eric A. Weiss Niru Maheswaranathan Surya Ganguli SyDa DiffM 312 7,031 0 12 Mar 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.1K 150,364 0 22 Dec 2014