Moritz Hehl

Neural Feature Geometry Evolves as Discrete Ricci Flow

Deep neural networks learn feature representations via complex geometric transformations of the input data manifold. Despite the models' empirical success across domains, our understanding of neural feature representations is still incomplete. In this work we investigate neural feature geometry thro…