Ikuro Sato

Winning noise tickets can dramatically enhance text-to-motion fidelity, bridging the gap between input semantics and generated motion without the need for retraining.

Steal accuracy from dense models and stabilize MoE training with a simple teacher-guided routing scheme that combats gradient starvation.