no code implementations • 7 Mar 2024 • Peimeng Guan, Naveed Iqbal, Mark A. Davenport, Mudassir Masood
Model-based deep learning methods such as \emph{loop unrolling} (LU) and \emph{deep equilibrium model} (DEQ) extensions offer outstanding performance in solving inverse problems (IP).
no code implementations • 19 Jul 2023 • Peimeng Guan, Naveed Iqbal, Mark A. Davenport, Mudassir Masood
Due to the sparse nature of the reflectivity sequence, spike-promoting regularizers such as the $\ell_1$-norm are frequently used.
no code implementations • 10 Oct 2022 • Peimeng Guan, Jihui Jin, Justin Romberg, Mark A. Davenport
In inverse problems we aim to reconstruct some underlying signal of interest from potentially corrupted and often ill-posed measurements.