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On the Posterior Distribution in Denoising: Application to Uncertainty Quantification
v1v2 (latest)

On the Posterior Distribution in Denoising: Application to Uncertainty Quantification

Hila Manor
T. Michaeli
    UQCV
ArXiv (abs)PDFHTML

Papers citing "On the Posterior Distribution in Denoising: Application to Uncertainty Quantification"

4 / 4 papers shown
Title
Conditional Distribution Quantization in Machine Learning
Conditional Distribution Quantization in Machine Learning
Blaise Delattre
Sylvain Delattre
Alexandre Verine
Alexandre Allauzen
202
0
0
11 Feb 2025
Shallow Diffuse: Robust and Invisible Watermarking through Low-Dimensional Subspaces in Diffusion Models
Shallow Diffuse: Robust and Invisible Watermarking through Low-Dimensional Subspaces in Diffusion Models
Wenda Li
Huijie Zhang
Qing Qu
WIGM
96
2
0
28 Oct 2024
Free Hunch: Denoiser Covariance Estimation for Diffusion Models Without Extra Costs
Free Hunch: Denoiser Covariance Estimation for Diffusion Models Without Extra Costs
Severi Rissanen
Markus Heinonen
Arno Solin
DiffM
420
3
0
15 Oct 2024
Uncertainty Visualization via Low-Dimensional Posterior Projections
Uncertainty Visualization via Low-Dimensional Posterior Projections
Omer Yair
E. Nehme
T. Michaeli
UQCV
70
2
0
12 Dec 2023

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