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Romina Yalovetzky

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#artificial intelligence Preprint Oct 2026

LeHami: Symplectic Latent Dynamics for World Models

Joint-embedding predictive architectures (JEPAs) learn world models directly in latent space, but unconstrained autoregressive predictors may contract the latent distribution over long rollouts. We introduce Symplectic Hamiltonian JEPA (LeHami), which replaces the standard predictor with an action-conditioned Hamiltoni...

Romina Yalovetzky, Randall Balestriero, Yann LeCun · 0 citations

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