Search Results for author:
Found 1 papers, 1 papers with code
Learning Fast Approximations of Sparse Nonlinear Regression
The idea of unfolding iterative algorithms as deep neural networks has been widely applied in solving sparse coding problems, providing both solid theoretical analysis in convergence rate and superior empirical performance.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
