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Duality for Neural Networks through Reproducing Kernel Banach Spaces

Duality for Neural Networks through Reproducing Kernel Banach Spaces

9 November 2022
L. Spek
T. J. Heeringa
Felix L. Schwenninger
C. Brune
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Papers citing "Duality for Neural Networks through Reproducing Kernel Banach Spaces"

12 / 12 papers shown
Title
Mirror Descent on Reproducing Kernel Banach Spaces
Akash Kumar
Mikhail Belkin
Parthe Pandit
43
1
0
18 Nov 2024
A Lipschitz spaces view of infinitely wide shallow neural networks
A Lipschitz spaces view of infinitely wide shallow neural networks
Francesca Bartolucci
Marcello Carioni
José A. Iglesias
Yury Korolev
Emanuele Naldi
S. Vigogna
23
0
0
18 Oct 2024
Which Spaces can be Embedded in $L_p$-type Reproducing Kernel Banach
  Space? A Characterization via Metric Entropy
Which Spaces can be Embedded in LpL_pLp​-type Reproducing Kernel Banach Space? A Characterization via Metric Entropy
Yiping Lu
Daozhe Lin
Qiang Du
36
0
0
14 Oct 2024
Novel Kernel Models and Exact Representor Theory for Neural Networks
  Beyond the Over-Parameterized Regime
Novel Kernel Models and Exact Representor Theory for Neural Networks Beyond the Over-Parameterized Regime
A. Shilton
Sunil R. Gupta
Santu Rana
Svetha Venkatesh
34
0
0
24 May 2024
Learning with Norm Constrained, Over-parameterized, Two-layer Neural
  Networks
Learning with Norm Constrained, Over-parameterized, Two-layer Neural Networks
Fanghui Liu
L. Dadi
V. Cevher
82
2
0
29 Apr 2024
Learning a Sparse Representation of Barron Functions with the Inverse
  Scale Space Flow
Learning a Sparse Representation of Barron Functions with the Inverse Scale Space Flow
T. J. Heeringa
Tim Roith
Christoph Brune
Martin Burger
18
0
0
05 Dec 2023
Function-Space Optimality of Neural Architectures with Multivariate Nonlinearities
Function-Space Optimality of Neural Architectures with Multivariate Nonlinearities
Rahul Parhi
Michael Unser
39
5
0
05 Oct 2023
Sampling weights of deep neural networks
Sampling weights of deep neural networks
Erik Lien Bolager
Iryna Burak
Chinmay Datar
Q. Sun
Felix Dietrich
BDL
UQCV
19
16
0
29 Jun 2023
Variation Spaces for Multi-Output Neural Networks: Insights on
  Multi-Task Learning and Network Compression
Variation Spaces for Multi-Output Neural Networks: Insights on Multi-Task Learning and Network Compression
Joseph Shenouda
Rahul Parhi
Kangwook Lee
Robert D. Nowak
31
12
0
25 May 2023
Embeddings between Barron spaces with higher order activation functions
Embeddings between Barron spaces with higher order activation functions
T. J. Heeringa
L. Spek
Felix L. Schwenninger
C. Brune
31
3
0
25 May 2023
Sparse Representer Theorems for Learning in Reproducing Kernel Banach
  Spaces
Sparse Representer Theorems for Learning in Reproducing Kernel Banach Spaces
Rui Wang
Yuesheng Xu
Mingsong Yan
17
6
0
21 May 2023
Understanding neural networks with reproducing kernel Banach spaces
Understanding neural networks with reproducing kernel Banach spaces
Francesca Bartolucci
E. De Vito
Lorenzo Rosasco
S. Vigogna
47
50
0
20 Sep 2021
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