19 citations · 78 across the 31 of their papers we have counts for
7 papers · 1 filter
Experts with Lower-Bounded Loss Feedback: A Unifying Framework
Eyal Gofer, Guy Gilboa
The most prominent feedback models for the best expert problem are the full information and bandit models. In this work we consider a simple feedback model that generalizes both, w…
Iterative Methods for Computing Eigenvectors of Nonlinear Operators
Guy Gilboa
In this chapter we are examining several iterative methods for solving nonlinear eigenvalue problems. These arise in variational image-processing, graph partition and classificatio…
Adaptive LiDAR Sampling and Depth Completion using Ensemble Variance
Eyal Gofer, Shachar Praisler, Guy Gilboa
This work considers the problem of depth completion, with or without image data, where an algorithm may measure the depth of a prescribed limited number of pixels. The algorithmic…
Modes of Homogeneous Gradient Flows
Ido Cohen, Omri Azencot, Pavel Lifshitz +1
Finding latent structures in data is drawing increasing attention in diverse fields such as image and signal processing, fluid dynamics, and machine learning. In this work we exami…
Deeply Learned Spectral Total Variation Decomposition
Tamara G. Grossmann, Yury Korolev, Guy Gilboa +1
Non-linear spectral decompositions of images based on one-homogeneous functionals such as total variation have gained considerable attention in the last few years. Due to their abi…
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…