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A coupled autoencoder approach for multi-modal analysis of cell types

A coupled autoencoder approach for multi-modal analysis of cell types

Neural Information Processing Systems (NeurIPS), 2019
6 November 2019
Rohan Gala
N. Gouwens
Zizhen Yao
Agata Budzillo
Osnat Penn
Bosiljka Tasic
G. Murphy
Hongkui Zeng
U. Sümbül
ArXiv (abs)PDFHTML

Papers citing "A coupled autoencoder approach for multi-modal analysis of cell types"

3 / 3 papers shown
Learning Time-Invariant Representations for Individual Neurons from
  Population Dynamics
Learning Time-Invariant Representations for Individual Neurons from Population DynamicsNeural Information Processing Systems (NeurIPS), 2023
Lu Mi
Trung Le
Tianxing He
Eli Shlizerman
U. Sümbül
166
10
0
03 Nov 2023
Mixture Representation Learning with Coupled Autoencoders
Mixture Representation Learning with Coupled Autoencoders
Yeganeh M. Marghi
Rohan Gala
U. Sümbül
BDL
148
0
0
20 Jul 2020
Sparse bottleneck neural networks for exploratory non-linear
  visualization of Patch-seq data
Sparse bottleneck neural networks for exploratory non-linear visualization of Patch-seq data
Yves Bernaerts
Philipp Berens
D. Kobak
201
4
0
18 Jun 2020
1
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