Author

Yilun Kuang

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Preprint Aug 2026

LpWM: A Case for Sparse Representations in World Models

This work introduces LpWorldModel, a JEPA model regularized with Rectified Distribution Matching Regularization to match encoder features to a Rectified Generalized Gaussian distribution, yielding non-negative sparse codes, and finds that the learned sparse representations are mode-factored.

Yilun Kuang, Yash Dagade, Quentin Le Lidec et al. · 5 citations