MOSAIC: Module Discovery via Sparse Additive Identifiable Causal Learning for Scientific Time Series.

arXiv:2605.05524v2 Announce Type: replace-cross Abstract: Causal representation learning (CRL) seeks to recover latent variables with identifiability guarantees, typically up to permutation and component-wise reparameterization under appropriate assumptions. H