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, ...

In this video we are going to explore an easy problem for evaluating the inverse of the tangent function and a hard problem ...

In this video, I explain how to evaluate the arctan of negative square root of 3 over 3, focusing on inverse trigonometric ...

Penn researchers have developed a smarter AI method for solving notoriously difficult inverse equations, which help ...

Abstract: In recent years, there have been significant advances in the use of deep learning methods in inverse problems such as denoising, compressive sensing, inpainting, and super-resolution. While ...