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Yu-Hang Liu

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#machine learning Preprint Sep 2026

I Act Therefore I Am: When Is JEPA's Action-Conditioning Enough to Learn Causal Mechanisms?

This work investigates when and how JEPAs can recover the underlying causal states from observations, and establishes identifiability conditions under which representations learned by this general objective recover the underlying latent causal states up to component-wise invertible transformations and permutation.

Yu-Hang Liu, Zhuo Huang, J. Shi · 0 citations

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