Wei Wu

Spectral convolutional kernels unlock significantly greater accuracy gains from learned resolution allocation than their spatial counterparts, even when spatial area is normalized.

A single unified framework achieves state-of-the-art performance in both action-conditioned world modeling and real-world robotic manipulation by dynamically routing specialized experts.