Abstract: In this paper we propose a novel framework that successfully combines random projection or compression to weighted Nonnegative Matrix Factorization (NMF). Indeed a large body of NMF research ...
Abstract: This article proposes a universal framework for coupling matrix (CM) reconfiguration, offering exceptional adaptability and efficiency. Leveraging Householder transformation (HT), the ...
SSMA is a novel neural network framework designed to overcome the quadratic complexity of Transformers by replacing dense self-attention with a combination of dynamic sparse state transitions, ...
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