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Conference Proceedings

Second-Order Networks in PyTorch

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2019) 11712 LNCS 751-758
DOI: 10.1007/978-3-030-26980-7_78
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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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Brooks, D., Schwander, O., Barbaresco, F., Schneider, J. Y., & Cord, M. (2019). Second-Order Networks in PyTorch. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11712 LNCS, pp. 751–758). Springer. https://doi.org/10.1007/978-3-030-26980-7_78

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