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The Deep Generative Decoder: MAP estimation of representations improves
  modeling of single-cell RNA data

The Deep Generative Decoder: MAP estimation of representations improves modeling of single-cell RNA data

13 October 2021
Viktoria Schuster
A. Krogh
ArXivPDFHTML

Papers citing "The Deep Generative Decoder: MAP estimation of representations improves modeling of single-cell RNA data"

3 / 3 papers shown
Title
Modelling Technical and Biological Effects in scRNA-seq data with
  Scalable GPLVMs
Modelling Technical and Biological Effects in scRNA-seq data with Scalable GPLVMs
V. Lalchand
Aditya Ravuri
Emma Dann
Natsuhiko Kumasaka
Dinithi Sumanaweera
Rik G. H. Lindeboom
Shaista Madad
Sarah A. Teichmann
Neil D. Lawrence
BDL
18
4
0
14 Sep 2022
Learning in High Dimension Always Amounts to Extrapolation
Learning in High Dimension Always Amounts to Extrapolation
Randall Balestriero
J. Pesenti
Yann LeCun
20
87
0
18 Oct 2021
Pixel Recurrent Neural Networks
Pixel Recurrent Neural Networks
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
SSeg
GAN
201
2,391
0
25 Jan 2016
1