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Understanding Robustness and Generalization of Artificial Neural Networks Through Fourier Masks

Understanding Robustness and Generalization of Artificial Neural Networks Through Fourier Masks

Shallow Univariate ReLU Networks as Splines: Initialization, Loss Surface, Hessian, and Gradient Flow Dynamics

Shallow Univariate ReLU Networks as Splines: Initialization, Loss Surface, Hessian, and Gradient Flow Dynamics

On the Construction of Group Equivariant Non-Expansive Operators via Permutants and Symmetric Functions

On the Construction of Group Equivariant Non-Expansive Operators via Permutants and Symmetric Functions

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