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math.AG2026
Neural Learning of Fast Matrix Multiplication Algorithms: A StrassenNet Approach
Paolo Andreini, Alessandra Bernardi, Monica Bianchini +4
Fast matrix multiplication can be described as searching for low-rank decompositions of the matrix--multiplication tensor. We design a neural architecture, \textsc{StrassenNet}, wh…
math.AG2026
Triangular tensor networks, pencils of matrices and beyond
Alessandra Bernardi, Fulvio Gesmundo
We study tensor network varieties associated with the triangular graph, with a focus on the case where one of the physical dimensions is 2. This allows us to interpret the tensors…