This project is a Java-based agent that leverages Generative AI models and Retrieval-Augmented Generation (RAG) to execute test cases written in a natural language form at the graphical user interface ...

Abstract: The iterative hard thresholding (IHT) algorithm is widely used for recovering sparse signals in compressed sensing. Despite the development of numerous variants of this effective algorithm, ...

Abstract: Binary Neural Networks (BNNs) have emerged as a promising solution for reducing the memory footprint and compute costs of deep neural networks, but they suffer from quality degradation due ...