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On Non-Linear operators for Geometric Deep Learning

On Non-Linear operators for Geometric Deep Learning

6 July 2022
G. Sergeant-Perthuis
Jakob Maier
Joan Bruna
Edouard Oyallon
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Papers citing "On Non-Linear operators for Geometric Deep Learning"

5 / 5 papers shown
Title
Influence of the Geometry of the world model on Curiosity Based
  Exploration
Influence of the Geometry of the world model on Curiosity Based Exploration
G. Sergeant-Perthuis
Nils Ruet
D. Rudrauf
D. Ognibene
Y. Tisserand
36
2
0
01 Apr 2023
A tradeoff between universality of equivariant models and learnability
  of symmetries
A tradeoff between universality of equivariant models and learnability of symmetries
Vasco Portilheiro
27
2
0
17 Oct 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
1,104
0
27 Apr 2021
Learning with invariances in random features and kernel models
Learning with invariances in random features and kernel models
Song Mei
Theodor Misiakiewicz
Andrea Montanari
OOD
46
89
0
25 Feb 2021
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
250
3,236
0
24 Nov 2016
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