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Fully-Connected Network on Noncompact Symmetric Space and Ridgelet Transform based on Helgason-Fourier Analysis
3 March 2022
Sho Sonoda
Isao Ishikawa
Masahiro Ikeda
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Papers citing
"Fully-Connected Network on Noncompact Symmetric Space and Ridgelet Transform based on Helgason-Fourier Analysis"
13 / 13 papers shown
Title
Vector-valued Distance and Gyrocalculus on the Space of Symmetric Positive Definite Matrices
F. López
Beatrice Pozzetti
Steve J. Trettel
Michael Strube
Anna Wienhard
53
17
0
26 Oct 2021
Banach Space Representer Theorems for Neural Networks and Ridge Splines
Rahul Parhi
Robert D. Nowak
24
7
0
10 Jun 2020
Riemannian batch normalization for SPD neural networks
Daniel A. Brooks
Olivier Schwander
F. Barbaresco
J. Schneider
Matthieu Cord
57
93
0
03 Sep 2019
How do infinite width bounded norm networks look in function space?
Pedro H. P. Savarese
Itay Evron
Daniel Soudry
Nathan Srebro
80
166
0
13 Feb 2019
Equivalence of approximation by convolutional neural networks and fully-connected networks
P. Petersen
Felix Voigtländer
60
80
0
04 Sep 2018
Learning Continuous Hierarchies in the Lorentz Model of Hyperbolic Geometry
Maximilian Nickel
Douwe Kiela
51
462
0
09 Jun 2018
Hyperbolic Attention Networks
Çağlar Gülçehre
Misha Denil
Mateusz Malinowski
Ali Razavi
Razvan Pascanu
...
Peter W. Battaglia
V. Bapst
David Raposo
Adam Santoro
Nando de Freitas
171
223
0
24 May 2018
Hyperbolic Neural Networks
O. Ganea
Gary Bécigneul
Thomas Hofmann
56
603
0
23 May 2018
A Mean Field View of the Landscape of Two-Layers Neural Networks
Song Mei
Andrea Montanari
Phan-Minh Nguyen
MLT
95
858
0
18 Apr 2018
Representation Tradeoffs for Hyperbolic Embeddings
Christopher De Sa
Albert Gu
Christopher Ré
Frederic Sala
213
413
0
10 Apr 2018
Learning a Robust Representation via a Deep Network on Symmetric Positive Definite Manifolds
Zhi Gao
Yuwei Wu
Xingyuan Bu
Yunde Jia
69
32
0
17 Nov 2017
Poincaré Embeddings for Learning Hierarchical Representations
Maximilian Nickel
Douwe Kiela
90
1,308
0
22 May 2017
Neural Network with Unbounded Activation Functions is Universal Approximator
Sho Sonoda
Noboru Murata
67
336
0
14 May 2015
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