161 citations · 1k across the 69 of their papers we have counts for
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stat.ML2023★ 9 cited
Identifiability Guarantees for Causal Disentanglement from Soft Interventions
Jiaqi Zhang, Chandler Squires, Kristjan Greenewald +3
Causal disentanglement aims to uncover a representation of data using latent variables that are interrelated through a causal model. Such a representation is identifiable if the la…
stat.ML2023★ 9 cited
Unpaired Multi-Domain Causal Representation Learning
Nils Sturma, Chandler Squires, Mathias Drton +1
The goal of causal representation learning is to find a representation of data that consists of causally related latent variables. We consider a setup where one has access to data…