A differentiable VAE method with rank-Jacobian identifiability claims for nonlinear latent hierarchical models, undermined by a false core theorem and a circular proof.
Learning linear bayesian networks with latent variables
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Differentiable Causal Discovery For Latent Hierarchical Causal Models
A differentiable VAE method with rank-Jacobian identifiability claims for nonlinear latent hierarchical models, undermined by a false core theorem and a circular proof.