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. 2207.12849
  4. Cited By
Bessel Equivariant Networks for Inversion of Transmission Effects in
  Multi-Mode Optical Fibres

Bessel Equivariant Networks for Inversion of Transmission Effects in Multi-Mode Optical Fibres

26 July 2022
Joshua Mitton
S. Mekhail
M. Padgett
Daniele Faccio
Marco Aversa
Roderick Murray-Smith
ArXivPDFHTML

Papers citing "Bessel Equivariant Networks for Inversion of Transmission Effects in Multi-Mode Optical Fibres"

2 / 2 papers shown
Title
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
176
1,111
0
27 Apr 2021
Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric
  graphs
Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric graphs
P. D. Haan
Maurice Weiler
Taco S. Cohen
Max Welling
104
127
0
11 Mar 2020
1