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Yan-Chen Huo

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#artificial intelligence Preprint Aug 2026

Flow-JEPA: Flow Matching for Robust Latent Dynamics in JEPA World Models

This work proposes Flow-JEPA (F-JEPA), a conditional flow matching dynamics model that jointly generates a sequence of future latent states conditioned on the current observation and actions, suggesting that conditional flow matching provides a promising alternative to deterministic autoregressive dynamics in JEPA world models.

Yan-Chen Huo, Zi-Ying Song, Yadan Luo · 0 citations