Nonuniform random feature models using derivative information

Nonuniform random feature models using derivative information

3 October 2024

Konstantin Pieper

Guannan Zhang

Papers citing "Nonuniform random feature models using derivative information"

7 / 7 papers shown

Title
On the relationship between multivariate splines and infinitely-wide neural networks Francis R. Bach 27 3 0 07 Feb 2023
Characterization of the Variation Spaces Corresponding to Shallow Neural Networks Jonathan W. Siegel Jinchao Xu 44 43 0 28 Jun 2021
Sharp Bounds on the Approximation Rates, Metric Entropy, and $n$ -widths of Shallow Neural Networks Jonathan W. Siegel Jinchao Xu 38 87 0 29 Jan 2021
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 63 134 0 22 Sep 2020
On the Banach spaces associated with multi-layer ReLU networks: Function representation, approximation theory and gradient descent dynamics E. Weinan Stephan Wojtowytsch MLT 34 53 0 30 Jul 2020
How do infinite width bounded norm networks look in function space? Pedro H. P. Savarese Itay Evron Daniel Soudry Nathan Srebro 39 166 0 13 Feb 2019
Trainability and Accuracy of Neural Networks: An Interacting Particle System Approach Grant M. Rotskoff Eric Vanden-Eijnden 78 119 0 02 May 2018