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Representing Closed Transformation Paths in Encoded Network Latent Space

Representing Closed Transformation Paths in Encoded Network Latent Space

5 December 2019
Marissa Connor
Christopher Rozell
    3DPC
    DRL
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Papers citing "Representing Closed Transformation Paths in Encoded Network Latent Space"

4 / 4 papers shown
Title
Robust Self-Supervised Learning with Lie Groups
Robust Self-Supervised Learning with Lie Groups
Mark Ibrahim
Diane Bouchacourt
Ari S. Morcos
SSL
OOD
42
6
0
24 Oct 2022
Hamiltonian latent operators for content and motion disentanglement in
  image sequences
Hamiltonian latent operators for content and motion disentanglement in image sequences
Asif Khan
Amos Storkey
29
2
0
02 Dec 2021
Is Disentanglement enough? On Latent Representations for Controllable
  Music Generation
Is Disentanglement enough? On Latent Representations for Controllable Music Generation
Ashis Pati
Alexander Lerch
CoGe
DRL
25
16
0
01 Aug 2021
Variational Autoencoder with Learned Latent Structure
Variational Autoencoder with Learned Latent Structure
Marissa Connor
Gregory H. Canal
Christopher Rozell
CML
DRL
34
42
0
18 Jun 2020
1