28 citations · 71 across the 18 of their papers we have counts for
3 papers · 1 filter
Batch-less stochastic gradient descent for compressive learning of deep regularization for image denoising
Hui Shi, Yann Traonmilin, J-F Aujol
We consider the problem of denoising with the help of prior information taken from a database of clean signals or images. Denoising with variational methods is very efficient if a…
Minimizing Quotient Regularization Model
Chao Wang, Jean-Francois Aujol, Guy Gilboa +1
Quotient regularization models (QRMs) are a class of powerful regularization techniques that have gained considerable attention in recent years, due to their ability to handle comp…
Parameter-Free FISTA by Adaptive Restart and Backtracking
Jean-François Aujol, Luca Calatroni, Charles Dossal +2
We consider a combined restarting and adaptive backtracking strategy for the popular Fast Iterative Shrinking-Thresholding Algorithm frequently employed for accelerating the conver…