2 papers
math.SP2020
Nonlinear Power Method for Computing Eigenvectors of Proximal Operators and Neural Networks
Leon Bungert, Ester Hait-Fraenkel, Nicolas Papadakis +1
Neural networks have revolutionized the field of data science, yielding remarkable solutions in a data-driven manner. For instance, in the field of mathematical imaging, they have…
math.NA2019
Revealing Stable and Unstable Modes of Generic Denoisers through Nonlinear Eigenvalue Analysis
Ester Hait-Fraenkel, Guy Gilboa
In this paper, we propose to analyze stable and unstable modes of generic image denoisers through nonlinear eigenvalue analysis. We attempt to find input images for which the outpu…