This repository contains the core recommendation system powering the "For You" feed on X. It combines in-network content (from accounts you follow) with out-of-network content (discovered through ...

Abstract: A new modeling framework integrating Ramer–Douglas–Peucker (RDP) nonuniform sampling (NUS) with a long short-term memory (LSTM)-fully connected network (FCN) hybrid neural network (LFN) is ...

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, ...

Penn Engineers have developed a new way to use AI to solve inverse partial differential equations (PDEs), a particularly challenging class of mathematical problems with broad implications for ...