The faster proximal algorithm, the better unfolded deep learning architecture ? The study case of image denoising

Hoang Trieu Vy Le, Nelly Pustelnik, Marion Foare. The faster proximal algorithm, the better unfolded deep learning architecture ? The study case of image denoising. In 30th European Signal Processing Conference, EUSIPCO 2022, Belgrade, Serbia, August 29 - Sept. 2, 2022. pages 947-951, IEEE, 2022. [doi]

@inproceedings{LePF22,
  title = {The faster proximal algorithm, the better unfolded deep learning architecture ? The study case of image denoising},
  author = {Hoang Trieu Vy Le and Nelly Pustelnik and Marion Foare},
  year = {2022},
  url = {https://ieeexplore.ieee.org/document/9909592},
  researchr = {https://researchr.org/publication/LePF22},
  cites = {0},
  citedby = {0},
  pages = {947-951},
  booktitle = {30th European Signal Processing Conference, EUSIPCO 2022, Belgrade, Serbia, August 29 - Sept. 2, 2022},
  publisher = {IEEE},
  isbn = {978-90-827970-9-1},
}