Author

Umut Lagap

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#machine learning Preprint Aug 2026

Quantum-Grassmann-Plucker Token Mixing for Deep Learning-Based Post-Disaster Damage Assessment

This study presents the first application of Grassmann-Plucker (GP) token mixing to computer vision and introduces two extensions for image classification: the Quantum-inspired Grassmann-Plucker (QGP) head and the Hybrid Quantum Machine Learning Grassmann-Plucker (HQML-GP) head.

Kooroush Farahkhah, Umut Lagap, Taha Rezaei et al. · 0 citations