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Mateo Clemente

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#machine learning Preprint Nov 2026

La-JEPA: Compact Robot Policies with Latent World Modeling

It is shown that JEPA features outperform video VAE latents, most clearly out of distribution, and that training-time future prediction choices significantly impact the policy even when future prediction is skipped at inference, suggesting that robot foundation models may benefit from architectures designed for control...

Mateo Clémente, George Z. Xue, Amin Abyaneh et al. · 0 citations
#robotics Preprint Aug 2026

Faster-WAM: Do World Action Models Need Deep Action Modules?

Faster-WAM, an instantiation of DoT for WAMs, which docks a single-layer action head onto a 30-layer video backbone, achieves competitive performance on LIBERO and RoboTwin 2.0 while demonstrating strong out-of-distribution generalization on LIBERO-Plus.

Liheng Ma, Rui Yang, Zhan-Guang Zhang et al. · 4 citations

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