Conditionally Invariant Representation Learning for Disentangling Cellular Heterogeneity

2 July 2023

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

6 / 6 papers shown

Title
Whole-Genome Phenotype Prediction with Machine Learning: Open Problems in Bacterial Genomics Tamsin James Ben Williamson Peter Tino Nicole Wheeler AI4CE 54 0 0 11 Feb 2025
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 22 3 0 04 Mar 2024
Optimization-based Causal Estimation from Heterogenous Environments Mingzhang Yin Yixin Wang David M. Blei OOD 69 17 0 24 Sep 2021
Contrastive Learning Inverts the Data Generating Process Roland S. Zimmermann Yash Sharma Steffen Schneider Matthias Bethge Wieland Brendel SSL 236 206 0 17 Feb 2021
Does Invariant Risk Minimization Capture Invariance? Pritish Kamath Akilesh Tangella Danica J. Sutherland Nathan Srebro OOD 185 125 0 04 Jan 2021
Weakly-Supervised Disentanglement Without Compromises Francesco Locatello Ben Poole Gunnar Rätsch Bernhard Schölkopf Olivier Bachem Michael Tschannen CoGe OOD DRL 171 311 0 07 Feb 2020