Researchers introduced LeCuration, a small world model built on the LeWorldModel (LeWM) latent encoder and predictor with an added diffusion transformer (DiT) decoder, to curate data for physical AI a…
Researchers introduced Action-Conditioned Predictive Consistency (ACPC), a diagnostic for Joint-embedding predictive architectures (JEPAs) that measures divergence between clean and visually perturbed…
Researchers propose temporal-distance JEPA (TD-JEPA), a plan-aware representation learning method that mines directed temporal cost from reward-free trajectories to improve latent world model predicti…
Hi-LeWM, an extension of LeWorldModel (LeWM) that integrates high-level planning over latent subgoals while keeping the low-level LeWM frozen, outperformed its predecessor by 11.3 percentage points at…