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Representing Deep Neural Networks Latent Space Geometries with Graphs

Representing Deep Neural Networks Latent Space Geometries with Graphs

Carlos Lassance
Vincent Gripon
Antonio Ortega
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Papers citing "Representing Deep Neural Networks Latent Space Geometries with Graphs"

3 / 3 papers shown
Title
Variational autoencoders with latent high-dimensional steady geometric flows for dynamics
Variational autoencoders with latent high-dimensional steady geometric flows for dynamics
Andrew Gracyk
DRL
69
0
0
03 Jan 2025
Canonical normalizing flows for manifold learning
Canonical normalizing flows for manifold learning
Kyriakos Flouris
E. Konukoglu
DRL
62
7
0
19 Oct 2023
Channel redundancy and overlap in convolutional neural networks with channel-wise NNK graphs
Channel redundancy and overlap in convolutional neural networks with channel-wise NNK graphs
David Bonet
Antonio Ortega
Javier Ruiz-Hidalgo
Sarath Shekkizhar
GNN
33
7
0
18 Oct 2021