Representing Deep Neural Networks Latent Space Geometries with Graphs

14 November 2020

Vincent Gripon

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 Andrew Gracyk DRL 63 0 0 03 Jan 2025
Canonical normalizing flows for manifold learning Kyriakos Flouris E. Konukoglu DRL 48 7 0 19 Oct 2023
Channel redundancy and overlap in convolutional neural networks with channel-wise NNK graphs David Bonet Antonio Ortega Javier Ruiz-Hidalgo Sarath Shekkizhar GNN 31 7 0 18 Oct 2021