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ResNets constrained to be bi-Lipschitz, that is, approximately distance preserving, have been a crucial component of recently proposed techniques for deterministic uncertainty quantification in neural models.
Beweis der invarianz des n-dimensionalen gebiets
Luitzen EJ Brouwer · 1911
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Cornelia Druţu and Michael Kapovich · 2018
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A case for new neural network smoothness constraints
Mihaela Rosca, Theophane Weber, Arthur Gretton, and Shakir Mohamed · 2020
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