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Conditionally Invariant Representation Learning for Disentangling
  Cellular Heterogeneity

Conditionally Invariant Representation Learning for Disentangling Cellular Heterogeneity

2 July 2023
H. Aliee
Ferdinand Kapl
Soroor Hediyeh-zadeh
Fabian J. Theis
    CML
ArXiv (abs)PDFHTML

Papers citing "Conditionally Invariant Representation Learning for Disentangling Cellular Heterogeneity"

3 / 3 papers shown
Title
Whole-Genome Phenotype Prediction with Machine Learning: Open Problems in Bacterial Genomics
Whole-Genome Phenotype Prediction with Machine Learning: Open Problems in Bacterial GenomicsBioinformatics (Bioinformatics), 2025
Tamsin James
Ben Williamson
Peter Tino
Nicole Wheeler
AI4CE
153
4
0
11 Feb 2025
A Generative Model of Symmetry Transformations
A Generative Model of Symmetry Transformations
J. Allingham
Bruno Mlodozeniec
Shreyas Padhy
Javier Antorán
David Krueger
Richard E. Turner
Eric T. Nalisnick
José Miguel Hernández-Lobato
GAN
219
10
0
04 Mar 2024
Weakly Supervised Disentanglement with Guarantees
Weakly Supervised Disentanglement with GuaranteesInternational Conference on Learning Representations (ICLR), 2019
Rui Shu
Yining Chen
Abhishek Kumar
Stefano Ermon
Ben Poole
CoGeDRL
291
145
0
22 Oct 2019
1