Pavlo Radiuk — Papers on Cortexa

crossrefMachine Learning and Knowledge Extraction2026-04-06Cited by 2

Equivariant Transition Matrices for Explainable Deep Learning: A Lie Group Linearization Approach

Pavlo Radiuk, Oleksander Barmak, Leonid Bedratyuk, Iurii Krak

Deep learning systems deployed in regulated settings require explanations that are accurate and stable under nuisance transformations, yet classical post hoc transition matrices rely on fidelity-only fitting that fails to guarantee consistent explanations under spatial rotations…

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crossrefMachine Learning and Knowledge Extraction2025-08-13Cited by 2

Unsupervised Knowledge Extraction of Distinctive Landmarks from Earth Imagery Using Deep Feature Outliers for Robust UAV Geo-Localization

Zakhar Ostrovskyi, Oleksander Barmak, Pavlo Radiuk, Iurii Krak

Vision-based navigation is a common solution for the critical challenge of GPS-denied Unmanned Aerial Vehicle (UAV) operation, but a research gap remains in the autonomous discovery of robust landmarks from aerial survey imagery needed for such systems. In this work, we propose a…

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