MCVCI, a mixture conditional variational auto-encoder, is reported to identify causal direction in heterogeneous additive-noise data, and its residual-based clustering variant MCVCC recovers causal mechanism clusters with high ARI and NMI.
Nonlinear causal discovery with additive noise models,
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Hybrid Causal Identification and Causal Mechanism Clustering
MCVCI, a mixture conditional variational auto-encoder, is reported to identify causal direction in heterogeneous additive-noise data, and its residual-based clustering variant MCVCC recovers causal mechanism clusters with high ARI and NMI.