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SPD Learn streamlines geometric deep learning with SPD matrices by providing a unified Python package that ensures manifold constraints via trivialization, enabling standard backpropagation for neural decoding.
Distance-based evaluations of generative models are biased by the "hubness" phenomenon in high-dimensional embeddings, but GICDM offers a fix that aligns better with human judgment.
