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Author

C. Uribe

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#machine learning Preprint Oct 2026

Adaptive Bregman Alternating Projections for Feasible Gromov-Wasserstein Learning

The Gromov-Wasserstein (GW) problem compares structured distributions without requiring a shared feature space or known correspondences, but its nonconvex objective and coupled marginal constraints make computation challenging. Bregman alternating projected gradient (BAPG) uses inexpensive alternating row and column up...

Ao-Ran Zhang, C. Uribe · 0 citations
2026

Automated Discovery of Finite State Automata for the Control of Discrete Event Systems

In many industrial systems, control-related information is often opaque, undermining the ability to formally ensure safety, correctness, and performance. Representing such systems as Discrete Event Systems (DES) models enables rigorous analysis, synthesis, and correct-by-construction control, but modeling is typically...

Jhonnatan R. Semler, Rosaine F. Semler, M. Wehrmeister et al. · 0 citations

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