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Yi-Hang Wang

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

MOSAIC (Module discovery via Sparse Additive Identifiable Causal learning), a sparse temporal VAE that integrates temporal CRL identifiability with support recovery over observed variables, enabling interpretable discovery of latent mechanisms in scientific time series.

Shichen Fan, Nour Elhendawy, Jianle Sun et al. · 1 citation

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