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. 2110.09902
  4. Cited By
Toward Understanding Convolutional Neural Networks from Volterra
  Convolution Perspective

Toward Understanding Convolutional Neural Networks from Volterra Convolution Perspective

19 October 2021
Tenghui Li
Guoxu Zhou
Yuning Qiu
Qianchuan Zhao
    FAtt
ArXivPDFHTML

Papers citing "Toward Understanding Convolutional Neural Networks from Volterra Convolution Perspective"

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
174
1,104
0
27 Apr 2021
Tensor Decomposition for Signal Processing and Machine Learning
Tensor Decomposition for Signal Processing and Machine Learning
N. Sidiropoulos
L. De Lathauwer
Xiao Fu
Kejun Huang
Evangelos E. Papalexakis
Christos Faloutsos
105
1,342
0
06 Jul 2016
1