This repo provides a set of useful functions for operating on sparsely stored arrays. This is extremely useful for significantly reducing storage and minorly improving runtime when you have high ...
Abstract: Accelerating matrix multiplication is crucial to achieve high performance in many application domains, including neural networks, graph analytics, and scientific computing. These ...
Abstract: In this paper, a compact sparse array is designed for the upper 6 GHz (U6G) band, specifically optimized for the 6.5-7 GHz band. Based on this array, the hybrid beamforming (HBF) algorithm ...
The Sparse Partial Least Squares (Sparse PLS) project implements a regression model that combines dimensionality reduction with variable selection. This model is particularly useful for ...
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