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This repository contains the code for the paper "Lipschitz-bounded neural networks via parameterization of dissipative layers". We train Lipschitz-bounded convolutional neural networks.

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__pycache__
__pycache__
 
 
plots
plots
 
 
.gitignore
.gitignore
 
 
Comparison_SandwichLipKernel.py
Comparison_SandwichLipKernel.py
 
 
README.md
README.md
 
 
attack.py
attack.py
 
 
compute_lip.py
compute_lip.py
 
 
compute_lip_2.py
compute_lip_2.py
 
 
dataset.py
dataset.py
 
 
layer.py
layer.py
 
 
lipkernel_times_channels.csv
lipkernel_times_channels.csv
 
 
lipkernel_times_kernel.csv
lipkernel_times_kernel.csv
 
 
lipkernel_times_spatial.csv
lipkernel_times_spatial.csv
 
 
main.py
main.py
 
 
model.py
model.py
 
 
orthogon_times_channels.csv
orthogon_times_channels.csv
 
 
orthogon_times_kernel.csv
orthogon_times_kernel.csv
 
 
orthogon_times_spatial.csv
orthogon_times_spatial.csv
 
 
results.xlsx
results.xlsx
 
 
sandwich_times_channels.csv
sandwich_times_channels.csv
 
 
sandwich_times_kernel.csv
sandwich_times_kernel.csv
 
 
sandwich_times_spatial.csv
sandwich_times_spatial.csv
 
 
train.py
train.py
 
 
utils.py
utils.py
 
 

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2D-LipCNNs

This repository contains the code for the paper "LipKernel: Lipschitz-bounded Convolutional Neural Networks via Dissipative Layers". We train Lipschitz-bounded convolutional neural networks using Pytorch.

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This repository contains the code for the paper "Lipschitz-bounded neural networks via parameterization of dissipative layers". We train Lipschitz-bounded convolutional neural networks.

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