Second-order networks in Pytorch

DOI10.1007/978-3-030-26980-7_78zbMath1458.15057OpenAlexW2966950467MaRDI QIDQ2305295

Daniel Brooks, Olivier Schwander, Matthieu Cord, Jean-Yves Schneider, Frédéric Barbaresco

Publication date: 10 March 2020

Full work available at URL: https://doi.org/10.1007/978-3-030-26980-7_78

zbMATH Keywords

covarianceSPD matrixRiemannian machine learningsecond-order neural network

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Positive matrices and their generalizations; cones of matrices (15B48)

Related Items (1)

An adaptively weighted stochastic gradient MCMC algorithm for Monte Carlo simulation and global optimization

Uses Software

• PyTorch

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