MOSAIC: Module Discovery via Sparse Additive Identifiable Causal Learning for Scientific Time Series
概要
arXiv:2605.05524v1 Announce Type: 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. However, identifiability does not imply interpre…
