25 citations · 73 across the 14 of their papers we have counts for
Showing 2023Show all
2 papers · 1 filter
math.OC2023
LSEMINK: A Modified Newton-Krylov Method for Log-Sum-Exp Minimization
Kelvin Kan, James G. Nagy, Lars Ruthotto
This paper introduces LSEMINK, an effective modified Newton-Krylov algorithm geared toward minimizing the log-sum-exp function for a linear model. Problems of this kind arise commo…
cs.CV2023
Ambiguity in solving imaging inverse problems with deep learning based operators
Davide Evangelista, Elena Morotti, Elena Loli Piccolomini +1
In recent years, large convolutional neural networks have been widely used as tools for image deblurring, because of their ability in restoring images very precisely. It is well kn…