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News/MOSAIC: Module Discovery via Sparse Additive Identifiable Causal Learning for Scientific Time Series
arxiv
PublishedOctober 19, 2026 at 4:00 AM

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

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Publisher summary· verbatim

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. However, identifiability does not imply i

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