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Found 2 papers, 1 papers with code
Score-based Causal Representation Learning: Linear and General Transformations
The paper addresses both the identifiability and achievability aspects.
General Identifiability and Achievability for Causal Representation Learning
For identifiability, the paper establishes that perfect recovery of the latent causal model and variables is guaranteed under uncoupled interventions.
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