Analysis and Application of Matrix-Form Neural Networks for Fast Matrix-Variable Convex Optimization
Abstract: Matrix-variable optimization is a generalization of vector-variable optimization and has been found to have many important applications. To reduce computation time and storage requirement, ...
Abstract: This paper presents a novel in-memory computing unit (IMCU) architecture that utilizes a fully analog capacitor-based design to perform vector-matrix multiplications using only the energy ...
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