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It’s a familiar moment in math class—students are asked to solve a problem, and some jump in confidently while others freeze, unsure where to begin. When students don’t yet have a clear mental model ...

Abstract: This paper is part of an ongoing research regarding the creation of an efficient machine-learning model in the scope of performing Singular Value Decomposition (SVD) able to be utilized in ...

Abstract: Self-attention is a cornerstone of modern deep learning, yet its dense dot-product formulation offers limited interpretability and lacks explicit structural constraints. We propose ...