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Second-order networks in PyTorch

Abstract : Classification of Symmetric Positive Definite (SPD) matrices is gaining momentum in a variety machine learning application fields. In this work we propose a Python library which implements neural networks on SPD matrices, based on the popular deep learning framework Pytorch.
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https://hal.archives-ouvertes.fr/hal-02290841
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Submitted on : Wednesday, September 18, 2019 - 7:52:08 AM
Last modification on : Monday, December 6, 2021 - 5:12:03 PM
Long-term archiving on: : Saturday, February 8, 2020 - 11:09:25 PM

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Daniel Brooks, Olivier Schwander, Frédéric Barbaresco, Jean-Yves Schneider, Matthieu Cord. Second-order networks in PyTorch. GSI 2019 - 4th International Conference on Geometric Science of Information, Aug 2019, Toulouse, France. pp.751-758, ⟨10.1007/978-3-030-26980-7_78⟩. ⟨hal-02290841⟩

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