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Hypothesis Testing in Imaging Inverse Problems

Hypothesis Testing in Imaging Inverse Problems

28 May 2025
Yiming Xi
K. Zygalakis
Marcelo Pereyra
ArXiv (abs)PDFHTML

Papers citing "Hypothesis Testing in Imaging Inverse Problems"

4 / 4 papers shown
Title
Reconstruct Anything Model: a lightweight foundation model for computational imaging
Reconstruct Anything Model: a lightweight foundation model for computational imaging
Matthieu Terris
Samuel Hurault
Maxime Song
Julian Tachella
MedImDiffM
136
4
0
11 Mar 2025
Self-supervised conformal prediction for uncertainty quantification in Poisson imaging problems
Self-supervised conformal prediction for uncertainty quantification in Poisson imaging problems
Bernardin Tamo Amougou
Marcelo Pereyra
Barbara Pascal
70
1
0
26 Feb 2025
Self-supervised Conformal Prediction for Uncertainty Quantification in Imaging Problems
Self-supervised Conformal Prediction for Uncertainty Quantification in Imaging Problems
Jasper M. Everink
Bernardin Tamo Amougou
Marcelo Pereyra
79
2
0
07 Feb 2025
Know "No'' Better: A Data-Driven Approach for Enhancing Negation Awareness in CLIP
Know "No'' Better: A Data-Driven Approach for Enhancing Negation Awareness in CLIP
J. Park
Jungbeom Lee
Jongyoon Song
Sangwon Yu
Dahuin Jung
Sungroh Yoon
122
3
0
19 Jan 2025
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