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Sebastian Neumayer

2 accepted papers

2025

DEALing with Image Reconstruction: Deep Attentive Least Squares

ICML 2025poster

State-of-the-art image reconstruction often relies on complex, abundantly parameterized deep architectures. We propose an alternative: a data-driven reconstruction method inspired by the classic Tikhonov regularization. Our approach iteratively refines intermediate reconstructions by solving a seque…

Cited by 0SourcePDFScholar
2024

Learning a Convex Patch-Based Synthesis Model via Deep Equilibrium

ICASSP 2024accepted

We investigate the learning of a convex patch-based synthesis model for the reconstruction of images. In essence, we propose to learn a dictionary via bilevel optimization for denoising. Using implicit differentiation, we find a closed-form formula of the derivative of the minimizer of an objective…

Cited by 0SourceScholar