Adaptive Latent Capacity for World Models
ALeWM learns compact latent prefixes for JEPA world models and beats fixed-width LeWM.
5 stories, newest first · one card per story
ALeWM learns compact latent prefixes for JEPA world models and beats fixed-width LeWM.
Research on improving long-horizon rollout stability in neural surrogate solvers, reducing error by 40% while matching full-resolution models on physics benchmarks.
Researchers propose workspace tokens, a lightweight latent robot memory distilled from train-time VLM saliency queries, improving policy performance without in-loop VLM calls.
Movement Trend Guidance adds latent foresight to 3D diffusion policies, improving DP3 across RoboTwin2.0, LIBERO-40, and real-robot tasks with only 3.52% more parameters.
AlayaVista is a camera-controllable streaming video world model that decouples panoramic scene evolution from perspective synthesis, trained on a 1,318-hour 4K dataset.
Today 1.6K readers · 2.5K views · 779 reads · all time 189K views