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Kehan Wen

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#machine learning Preprint Aug 2026

JEPA-x: Cross-Predictive Physics Grounding for Forecastable Latent Dynamics

This work introduces the cross-predictive JEPA (JEPA-x), which grounds latent dynamics in privileged physical trajectories, and shows that direct physical-state regression improves decodability without improving forecastability or control, indicating that the benefit comes from shaping latent dynamics rather than merely encoding physical variables.

Kehan Wen, Ziming Li, Siyuan Luo et al. · 0 citations