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Mixture-of-Experts Variational Autoencoder for Clustering and Generating
  from Similarity-Based Representations on Single Cell Data
v1v2v3 (latest)

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
ArXiv (abs)PDFHTML

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

5 / 5 papers shown
Title
Application of Deep Learning on Single-Cell RNA-sequencing Data
  Analysis: A Review
Application of Deep Learning on Single-Cell RNA-sequencing Data Analysis: A Review
M. Brendel
Chang Su
Zilong Bai
Hao Zhang
O. Elemento
Fei Wang
90
43
0
11 Oct 2022
Priors in Bayesian Deep Learning: A Review
Priors in Bayesian Deep Learning: A Review
Vincent Fortuin
UQCVBDL
137
133
0
14 May 2021
Factorized Gaussian Process Variational Autoencoders
Factorized Gaussian Process Variational Autoencoders
Metod Jazbec
Michael Pearce
Vincent Fortuin
BDLDRL
65
7
0
14 Nov 2020
Scalable Gaussian Process Variational Autoencoders
Scalable Gaussian Process Variational Autoencoders
Metod Jazbec
Matthew Ashman
Vincent Fortuin
Michael Pearce
Stephan Mandt
Gunnar Rätsch
DRLBDL
89
29
0
26 Oct 2020
A Transformer-based Framework for Multivariate Time Series
  Representation Learning
A Transformer-based Framework for Multivariate Time Series Representation Learning
George Zerveas
Srideepika Jayaraman
Dhaval Patel
A. Bhamidipaty
Carsten Eickhoff
AI4TS
109
940
0
06 Oct 2020
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