ppauli / 1D-LipCNNs

This repository contains the code for the paper "Lipschitz-bounded 1D convolutional neural networks using the Cayley transform and the controllability Gramian". We train Lipschitz-bounded 1D CNNs on the MIT-BIH heart arrythmia dataset.

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1D_LipCNNs

This code is based on the julia package RecurrentEquilibriumNetworks.jl which will be published soon. It further uses Flux and JuMP in combination with MOSEK.

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This repository contains the code for the paper "Lipschitz-bounded 1D convolutional neural networks using the Cayley transform and the controllability Gramian". We train Lipschitz-bounded 1D CNNs on the MIT-BIH heart arrythmia dataset.


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