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20232026
most citedLearning a Gaussian Mixture for Sparsity Regularization in Inverse Problems

1 citations · 2 across the 9 of their papers we have counts for

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math.NA2026

A geometry-based deep equilibrium model for image restoration under multiplicative Gamma noise

Shengkun Yang, Luca Ratti, Zhichang Guo

We propose a deep learning framework for image restoration from images degraded by both multiplicative Gamma noise and blur. Unlike conventional deep equilibrium (DEQ) models that…

stat.ML2026

Statistical inverse learning and -regularization

Abhishake Rastogi, Tatiana A. Bubba, Tapio Helin +1

We study the recovery of sparse functions from finite, noisy, and indirect observations in the framework of statistical inverse learning. The unknown is modeled as an element of $\…