Understanding the benefits of matrix converters for EV chargers and a comparison of different matrix converter topologies.

Abstract: Sparse General Matrix-Matrix Multiplication (SpGEMM) is a core operation in high-performance computing applications such as algebraic multigrid solvers, machine learning, and graph ...

Abstract: Moving target detection in a disturbing environment has been significantly active and challenging for underwater acoustic array signal processing. One of the most effective approaches is ...

Sparse Autoencoders (SAEs) have recently gained attention as a means to improve the interpretability and steerability of Large Language Models (LLMs), both of which are essential for AI safety. In ...