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Understanding neural networks with reproducing kernel Banach spaces

Understanding neural networks with reproducing kernel Banach spaces

20 September 2021
Francesca Bartolucci
E. De Vito
Lorenzo Rosasco
S. Vigogna
ArXivPDFHTML

Papers citing "Understanding neural networks with reproducing kernel Banach spaces"

15 / 15 papers shown
Title
Solving Nonlinear PDEs with Sparse Radial Basis Function Networks
Solving Nonlinear PDEs with Sparse Radial Basis Function Networks
Zihan Shao
Konstantin Pieper
Xiaochuan Tian
31
0
0
12 May 2025
Sobolev norm inconsistency of kernel interpolation
Sobolev norm inconsistency of kernel interpolation
Yunfei Yang
34
0
0
29 Apr 2025
Irregular Sampling of High-Dimensional Functions in Reproducing Kernel Hilbert Spaces
Irregular Sampling of High-Dimensional Functions in Reproducing Kernel Hilbert Spaces
Armin Iske
Lennart Ohlsen
29
0
0
18 Apr 2025
The Effects of Multi-Task Learning on ReLU Neural Network Functions
The Effects of Multi-Task Learning on ReLU Neural Network Functions
Julia B. Nakhleh
Joseph Shenouda
Robert D. Nowak
34
1
0
29 Oct 2024
Random ReLU Neural Networks as Non-Gaussian Processes
Random ReLU Neural Networks as Non-Gaussian Processes
Rahul Parhi
Pakshal Bohra
Ayoub El Biari
Mehrsa Pourya
Michael Unser
63
1
0
16 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
15
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
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
29
3
0
25 May 2023
ReLU Neural Networks with Linear Layers are Biased Towards Single- and Multi-Index Models
ReLU Neural Networks with Linear Layers are Biased Towards Single- and Multi-Index Models
Suzanna Parkinson
Greg Ongie
Rebecca Willett
62
6
0
24 May 2023
Deep Learning Meets Sparse Regularization: A Signal Processing
  Perspective
Deep Learning Meets Sparse Regularization: A Signal Processing Perspective
Rahul Parhi
Robert D. Nowak
40
25
0
23 Jan 2023
Duality for Neural Networks through Reproducing Kernel Banach Spaces
Duality for Neural Networks through Reproducing Kernel Banach Spaces
L. Spek
T. J. Heeringa
Felix L. Schwenninger
C. Brune
15
13
0
09 Nov 2022
Random Fourier Features for Asymmetric Kernels
Random Fourier Features for Asymmetric Kernels
Ming-qian He
Fan He
Fanghui Liu
Xiaolin Huang
22
3
0
18 Sep 2022
The Mori-Zwanzig formulation of deep learning
The Mori-Zwanzig formulation of deep learning
D. Venturi
Xiantao Li
18
1
0
12 Sep 2022
Tighter Sparse Approximation Bounds for ReLU Neural Networks
Tighter Sparse Approximation Bounds for ReLU Neural Networks
Carles Domingo-Enrich
Youssef Mroueh
99
4
0
07 Oct 2021
1