Lucas Maes

LeVJEPA achieves up to 20.8x less pretraining compute while surpassing the performance of leading video representation methods, reshaping the landscape of video-based learning.

Sparse representations can dramatically simplify planning in world models, achieving up to 57% better performance than their dense counterparts.

Object-level masking in world models unlocks a 20% boost in counterfactual reasoning and drastically reduces planning costs, hinting at a path toward more efficient and robust AI agents.