no code implementations • 30 May 2023 • Xitong Zhang, Avrajit Ghosh, Guangliang Liu, Rongrong Wang
It is widely recognized that the generalization ability of neural networks can be greatly enhanced through carefully designing the training procedure.
no code implementations • 2 Feb 2023 • Avrajit Ghosh, He Lyu, Xitong Zhang, Rongrong Wang
It is well known that the finite step-size ($h$) in Gradient Descent (GD) implicitly regularizes solutions to flatter minima.
no code implementations • 18 Jul 2022 • Avrajit Ghosh, Michael T. McCann, Madeline Mitchell, Saiprasad Ravishankar
We present a method for supervised learning of sparsity-promoting regularizers for denoising signals and images.
no code implementations • 21 Nov 2021 • Avrajit Ghosh, Michael T. McCann, Saiprasad Ravishankar
We present a method for supervised learning of sparsity-promoting regularizers, a key ingredient in many modern signal reconstruction problems.