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Decomposing stimulus-specific sensory neural information via diffusion models

Decomposing stimulus-specific sensory neural information via diffusion models

Steeve Laquitaine
Simone Azeglio
Carlo Paris
U. Ferrari
Matthew Chalk
ArXiv (abs)PDFHTML

Papers citing "Decomposing stimulus-specific sensory neural information via diffusion models"

6 / 6 papers shown
Title
Improving Diffusion Models for Inverse Problems Using Optimal Posterior Covariance
Improving Diffusion Models for Inverse Problems Using Optimal Posterior Covariance
Xinyu Peng
Ziyang Zheng
Wenrui Dai
Nuoqian Xiao
Chenglin Li
Junni Zou
Hongkai Xiong
DiffM
133
23
0
03 Feb 2024
Diffusion Posterior Sampling for General Noisy Inverse Problems
Diffusion Posterior Sampling for General Noisy Inverse Problems
Hyungjin Chung
Jeongsol Kim
Michael T. McCann
M. Klasky
J. C. Ye
DiffM
114
862
0
29 Sep 2022
Solving Linear Inverse Problems Using the Prior Implicit in a Denoiser
Solving Linear Inverse Problems Using the Prior Implicit in a Denoiser
Zahra Kadkhodaie
Eero P. Simoncelli
92
86
0
27 Jul 2020
Denoising Diffusion Probabilistic Models
Denoising Diffusion Probabilistic Models
Jonathan Ho
Ajay Jain
Pieter Abbeel
DiffM
788
18,408
0
19 Jun 2020
Axiomatic Attribution for Deep Networks
Axiomatic Attribution for Deep Networks
Mukund Sundararajan
Ankur Taly
Qiqi Yan
OODFAtt
211
6,027
0
04 Mar 2017
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg3DV
1.9K
77,520
0
18 May 2015

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