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Author

V. Strijov

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Open access Sep 2026

Graph diffusion in riemannian and euclidean spaces for multidimensional time-series decoding

A model for multidimensional time-series prediction based on the combination of graph neural diffusion and Riemannian geometry of covariance representations is proposed, which simultaneously captures local temporal dynamics and global inter-component dependencies.

Sviatoslav K. Panchenko, V. Strijov · 0 citations
Open access Sep 2026

Tensor sparse identification of differential equations of nonlinear dynamical systems

The problem of sparse identification of non-linear dynamics is considered. The problem is motivated by the need for interpretable mathematical models in the natural sciences, where the fundamental laws of evolution are either unknown or known only partially. The T‑SINDy method is proposed, which combines time delay e...

Denis M. Tikhonov, V. Strijov · 0 citations

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