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Mixture-of-Experts Variational Autoencoder for Clustering and Generating
  from Similarity-Based Representations on Single Cell Data

Mixture-of-Experts Variational Autoencoder for Clustering and Generating from Similarity-Based Representations on Single Cell Data

17 October 2019
Andreas Kopf
Vincent Fortuin
Vignesh Ram Somnath
Manfred Claassen
    DRL
ArXivPDFHTML

Papers citing "Mixture-of-Experts Variational Autoencoder for Clustering and Generating from Similarity-Based Representations on Single Cell Data"

5 / 5 papers shown
Title
UMAP: Uniform Manifold Approximation and Projection for Dimension
  Reduction
UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
Leland McInnes
John Healy
James Melville
115
9,312
0
09 Feb 2018
Clustering with Deep Learning: Taxonomy and New Methods
Clustering with Deep Learning: Taxonomy and New Methods
Elie Aljalbout
Vladimir Golkov
Yawar Siddiqui
Maximilian Strobel
Daniel Cremers
47
241
0
23 Jan 2018
Discriminatively Boosted Image Clustering with Fully Convolutional
  Auto-Encoders
Discriminatively Boosted Image Clustering with Fully Convolutional Auto-Encoders
Fengfu Li
Hong Qiao
Bo Zhang
Xuanyang Xi
SSL
53
247
0
23 Mar 2017
Unsupervised Deep Embedding for Clustering Analysis
Unsupervised Deep Embedding for Clustering Analysis
Junyuan Xie
Ross B. Girshick
Ali Farhadi
SSL
68
2,855
0
19 Nov 2015
A Kernel Method for the Two-Sample Problem
A Kernel Method for the Two-Sample Problem
Arthur Gretton
Karsten Borgwardt
Malte J. Rasch
Bernhard Schölkopf
Alex Smola
169
2,352
0
15 May 2008
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