A secondary purpose of this repository is to provide a generalized graph API that enables implementation of a very wide range of in-memory graph algorithms including basic methods for reading, writing ...
Abstract: In recent years, deep learning (DL) methods have been extensively developed for inverse imaging problems (IIPs), encompassing supervised, self-supervised, and generative approaches. Most of ...
Scientific ideas sometimes have to wait decades for technology to catch up. Statistical algorithms developed at the Yerevan ...
As AI rapidly becomes embedded in drug discovery, perhaps the most important question isn't how powerful the next model will ...
RNA has emerged as one of the most promising molecules in modern medicine, enabling advances from mRNA vaccines and gene ...
The future of equitable AI in community health centers will be measured by how effectively we are able to demand partnership ...
Abstract: In this work, we focus on solving non-smooth non-convex maximization problems in multi-group multicast transmission. By leveraging Karush-Kuhn-Tucker (KKT) optimality conditions, we ...
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