most citedImproving Lipschitz-Constrained Neural Networks by Learning Activation Functions

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stat.ML2024

Random ReLU Neural Networks as Non-Gaussian Processes

Rahul Parhi, Pakshal Bohra, Ayoub El Biari +2

We consider a large class of shallow neural networks with randomly initialized parameters and rectified linear unit activation functions. We prove that these random neural networks…