Aram Davtyan

Self-distillation enables visual world models to solve tasks without costly video supervision, achieving superior performance in both simulated and robotic environments.

Squeeze 2x more speed from your conditional flow matching models by optimizing data-noise coupling across minibatches.

Object-centric image tokenization is now possible by modeling the sequential refinement process of human communication, leading to better compositional generalization and relational reasoning.