Abstract: The sparsity-regularized linear inverse problem has been widely used in many fields, such as remote sensing imaging, image processing and analysis, seismic deconvolution, compressed sensing, ...

Abstract: Machine learning (ML) models have been rapidly growing in size to improve accuracy, but this has greatly increased their computational cost. Leveraging the unstructured sparsity in the ...