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Harmonic Decompositions of Convolutional Networks
v1v2 (latest)

Harmonic Decompositions of Convolutional Networks

International Conference on Machine Learning (ICML), 2020
28 March 2020
M. Scetbon
Zaïd Harchaoui
ArXiv (abs)PDFHTML

Papers citing "Harmonic Decompositions of Convolutional Networks"

5 / 5 papers shown
On the Shift Invariance of Max Pooling Feature Maps in Convolutional Neural Networks
On the Shift Invariance of Max Pooling Feature Maps in Convolutional Neural Networks
Hubert Leterme
K. Polisano
V. Perrier
Alahari Karteek
FAtt
577
2
0
19 Sep 2022
On the Spectral Bias of Convolutional Neural Tangent and Gaussian
  Process Kernels
On the Spectral Bias of Convolutional Neural Tangent and Gaussian Process KernelsNeural Information Processing Systems (NeurIPS), 2022
Amnon Geifman
Meirav Galun
David Jacobs
Ronen Basri
239
20
0
17 Mar 2022
Eigenspace Restructuring: a Principle of Space and Frequency in Neural
  Networks
Eigenspace Restructuring: a Principle of Space and Frequency in Neural Networks
Lechao Xiao
279
23
0
10 Dec 2021
Learning with convolution and pooling operations in kernel methods
Learning with convolution and pooling operations in kernel methods
Theodor Misiakiewicz
Song Mei
MLT
435
30
0
16 Nov 2021
Approximation and Learning with Deep Convolutional Models: a Kernel
  Perspective
Approximation and Learning with Deep Convolutional Models: a Kernel PerspectiveInternational Conference on Learning Representations (ICLR), 2021
A. Bietti
306
33
0
19 Feb 2021
1
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