most citedImproving Lipschitz-Constrained Neural Networks by Learning Activation Functions

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eess.SP2022

Delaunay-Triangulation-Based Learning with Hessian Total-Variation Regularization

Mehrsa Pourya, Alexis Goujon, Michael Unser

Regression is one of the core problems tackled in supervised learning. Rectified linear unit (ReLU) neural networks generate continuous and piecewise-linear (CPWL) mappings and are…