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Nonuniform random feature models using derivative information

Nonuniform random feature models using derivative information

Konstantin Pieper
Zezhong Zhang
Guannan Zhang
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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
On the relationship between multivariate splines and infinitely-wide neural networks
Francis R. Bach
25
3
0
07 Feb 2023
Characterization of the Variation Spaces Corresponding to Shallow Neural Networks
Characterization of the Variation Spaces Corresponding to Shallow Neural Networks
Jonathan W. Siegel
Jinchao Xu
36
43
0
28 Jun 2021
Sharp Bounds on the Approximation Rates, Metric Entropy, and $n$-widths of Shallow Neural Networks
Sharp Bounds on the Approximation Rates, Metric Entropy, and nn-widths of Shallow Neural Networks
Jonathan W. Siegel
Jinchao Xu
33
87
0
29 Jan 2021
Towards a Mathematical Understanding of Neural Network-Based Machine Learning: what we know and what we don't
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
61
134
0
22 Sep 2020
On the Banach spaces associated with multi-layer ReLU networks: Function representation, approximation theory and gradient descent dynamics
On the Banach spaces associated with multi-layer ReLU networks: Function representation, approximation theory and gradient descent dynamics
E. Weinan
Stephan Wojtowytsch
MLT
29
53
0
30 Jul 2020
How do infinite width bounded norm networks look in function space?
How do infinite width bounded norm networks look in function space?
Pedro H. P. Savarese
Itay Evron
Daniel Soudry
Nathan Srebro
35
166
0
13 Feb 2019
Trainability and Accuracy of Neural Networks: An Interacting Particle System Approach
Trainability and Accuracy of Neural Networks: An Interacting Particle System Approach
Grant M. Rotskoff
Eric Vanden-Eijnden
75
119
0
02 May 2018