Causal Representation Learning from General Environments under Nonparametric Mixing
arXiv:2604.23800v1 Announce Type: cross
Abstract: Causal representation learning aims to recover the latent causal variables and their causal relations, typically represented by directed acyclic graphs (DAGs), from low-level observations such as image…