Causal Representation Learning from Observational Video: Identifiability Assumptions and the Gap Between Synthetic and Real-World Settings
Causal representation learning (CRL) — the recovery of latent causal variables and their causal graph from high-dimensional observations — has produced a substantial body of theoretical results in the past five years. CITRIS, CauCA, CRID…
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