ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2203.01631
  4. Cited By
Fully-Connected Network on Noncompact Symmetric Space and Ridgelet
  Transform based on Helgason-Fourier Analysis

Fully-Connected Network on Noncompact Symmetric Space and Ridgelet Transform based on Helgason-Fourier Analysis

3 March 2022
Sho Sonoda
Isao Ishikawa
Masahiro Ikeda
ArXivPDFHTML

Papers citing "Fully-Connected Network on Noncompact Symmetric Space and Ridgelet Transform based on Helgason-Fourier Analysis"

12 / 12 papers shown
Title
Unified Universality Theorem for Deep and Shallow Joint-Group-Equivariant Machines
Unified Universality Theorem for Deep and Shallow Joint-Group-Equivariant Machines
Sho Sonoda
Yuka Hashimoto
Isao Ishikawa
Masahiro Ikeda
34
0
0
22 May 2024
A unified Fourier slice method to derive ridgelet transform for a
  variety of depth-2 neural networks
A unified Fourier slice method to derive ridgelet transform for a variety of depth-2 neural networks
Sho Sonoda
Isao Ishikawa
Masahiro Ikeda
35
4
0
25 Feb 2024
Motif-aware Riemannian Graph Neural Network with Generative-Contrastive
  Learning
Motif-aware Riemannian Graph Neural Network with Generative-Contrastive Learning
Li Sun
Zhenhao Huang
Zixi Wang
Feiyang Wang
Hao Peng
Philip Yu
29
16
0
02 Jan 2024
Riemannian Residual Neural Networks
Riemannian Residual Neural Networks
Isay Katsman
Eric Chen
Sidhanth Holalkere
Anna Asch
Aaron Lou
Ser-Nam Lim
Christopher De Sa
18
10
0
16 Oct 2023
Joint Group Invariant Functions on Data-Parameter Domain Induce
  Universal Neural Networks
Joint Group Invariant Functions on Data-Parameter Domain Induce Universal Neural Networks
Sho Sonoda
Hideyuki Ishi
Isao Ishikawa
Masahiro Ikeda
8
4
0
05 Oct 2023
Deep Ridgelet Transform: Voice with Koopman Operator Proves Universality
  of Formal Deep Networks
Deep Ridgelet Transform: Voice with Koopman Operator Proves Universality of Formal Deep Networks
Sho Sonoda
Yuka Hashimoto
Isao Ishikawa
Masahiro Ikeda
16
3
0
05 Oct 2023
Hyperbolic Random Forests
Hyperbolic Random Forests
Lars Doorenbos
Pablo Márquez-Neila
Raphael Sznitman
Pascal Mettes
16
5
0
25 Aug 2023
Horospherical Decision Boundaries for Large Margin Classification in
  Hyperbolic Space
Horospherical Decision Boundaries for Large Margin Classification in Hyperbolic Space
Xiran Fan
Chun-Hao Yang
B. Vemuri
16
7
0
14 Feb 2023
Quantum Ridgelet Transform: Winning Lottery Ticket of Neural Networks
  with Quantum Computation
Quantum Ridgelet Transform: Winning Lottery Ticket of Neural Networks with Quantum Computation
H. Yamasaki
Sathyawageeswar Subramanian
Satoshi Hayakawa
Sho Sonoda
MLT
30
4
0
27 Jan 2023
Universality of Group Convolutional Neural Networks Based on Ridgelet
  Analysis on Groups
Universality of Group Convolutional Neural Networks Based on Ridgelet Analysis on Groups
Sho Sonoda
Isao Ishikawa
Masahiro Ikeda
22
9
0
30 May 2022
Random Laplacian Features for Learning with Hyperbolic Space
Random Laplacian Features for Learning with Hyperbolic Space
Tao Yu
Chris De Sa
19
8
0
14 Feb 2022
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
M. Bronstein
Joan Bruna
Taco S. Cohen
Petar Velivcković
GNN
174
1,103
0
27 Apr 2021
1