Nicolas Ballas

Latent world models scale predictably with compute via a second-order power law, enabling accurate forecasting of robotic planning performance and zero-shot task execution on real hardware.

Cross-modal prediction in MJEPA not only boosts performance but also reveals that a unified encoder can outperform traditional modality-specific approaches by leveraging shared information.