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Maxim V. Rakhuba

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#artificial intelligence Preprint Sep 2026

Riemannian Structure and Optimization for a Class of Low-Parametric Orthogonal Matrices

In this paper, we are concerned with matrices formed by block-diagonal factors interleaved with fixed permutations -- a flexible family of structured matrices. This class has recently drawn interest in deep learning architectures for its balanced expressivity-efficiency trade-off, yet efficient computational strategies...

Aliev S. E. Aliev, Maxim V. Rakhuba · 0 citations

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