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Continuous encoding of the Euler Characteristic Transform boosts classification accuracy on geometric data by leveraging the net Euler-characteristic changes attributed to vertices.
Injecting local topological structure into neural networks via persistence-based data augmentation unlocks improved performance and interpretability in histopathology image classification and 3D material regression.
