Universality of Group Convolutional Neural Networks Based on Ridgelet Analysis on Groups

30 May 2022

Papers citing "Universality of Group Convolutional Neural Networks Based on Ridgelet Analysis on Groups"

7 / 7 papers shown

Title
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
Noncommutative $C^$ -algebra Net: Learning Neural Networks with Powerful Product Structure in $C^$ -algebra Ryuichiro Hataya Yuka Hashimoto 28 4 0 26 Jan 2023
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
Universal Equivariant Multilayer Perceptrons Siamak Ravanbakhsh 98 48 0 07 Feb 2020
A General Theory of Equivariant CNNs on Homogeneous Spaces Taco S. Cohen Mario Geiger Maurice Weiler MLT AI4CE 156 308 0 05 Nov 2018
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 222 14,099 0 02 Dec 2016
Benefits of depth in neural networks Matus Telgarsky 133 602 0 14 Feb 2016