Complexity Measures for Neural Networks with General Activation
Functions Using Path-based Norms

Complexity Measures for Neural Networks with General Activation Functions Using Path-based Norms

14 September 2020

Chao Ma

Papers citing "Complexity Measures for Neural Networks with General Activation Functions Using Path-based Norms"

6 / 6 papers shown

Title
Embeddings between Barron spaces with higher order activation functions T. J. Heeringa L. Spek Felix L. Schwenninger C. Brune 29 3 0 25 May 2023
Penalising the biases in norm regularisation enforces sparsity Etienne Boursier Nicolas Flammarion 37 14 0 02 Mar 2023
Approximation results for Gradient Descent trained Shallow Neural Networks in $1d$ R. Gentile G. Welper ODL 52 6 0 17 Sep 2022
Approximation of Functionals by Neural Network without Curse of Dimensionality Yahong Yang Yang Xiang 26 6 0 28 May 2022
Towards a Mathematical Understanding of Neural Network-Based Machine Learning: what we know and what we don't E. Weinan Chao Ma Stephan Wojtowytsch Lei Wu AI4CE 22 133 0 22 Sep 2020
Norm-Based Capacity Control in Neural Networks Behnam Neyshabur Ryota Tomioka Nathan Srebro 119 577 0 27 Feb 2015