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Disentangling to Cluster: Gaussian Mixture Variational Ladder
  Autoencoders
v1v2 (latest)

Disentangling to Cluster: Gaussian Mixture Variational Ladder Autoencoders

25 September 2019
M. Willetts
Stephen J. Roberts
Chris Holmes
    CoGeDRL
ArXiv (abs)PDFHTML

Papers citing "Disentangling to Cluster: Gaussian Mixture Variational Ladder Autoencoders"

5 / 5 papers shown
Title
Deep Clustering: A Comprehensive Survey
Deep Clustering: A Comprehensive Survey
Yazhou Ren
Jingyu Pu
Zhimeng Yang
Jie Xu
Guofeng Li
X. Pu
Philip S. Yu
Lifang He
HAI
104
112
0
09 Oct 2022
Identifiability of deep generative models without auxiliary information
Identifiability of deep generative models without auxiliary information
Bohdan Kivva
Goutham Rajendran
Pradeep Ravikumar
Bryon Aragam
DRL
113
53
0
20 Jun 2022
Multi-Facet Clustering Variational Autoencoders
Multi-Facet Clustering Variational Autoencoders
Fabian Falck
Haoting Zhang
M. Willetts
G. Nicholson
C. Yau
Chris Holmes
DRL
80
44
0
09 Jun 2021
I Don't Need u: Identifiable Non-Linear ICA Without Side Information
I Don't Need u: Identifiable Non-Linear ICA Without Side Information
M. Willetts
Brooks Paige
CMLOOD
59
25
0
09 Jun 2021
EXoN: EXplainable encoder Network
EXoN: EXplainable encoder Network
SeungHwan An
Hosik Choi
Jong-June Jeon
BDLDRL
66
5
0
23 May 2021
1