2 papers
cs.RO2026
MatchingPolicy: Correspondence-Aware Policy Enables Cross-Object In-Context Learning
Qijin She, Hanyang Yu, Zeming Li +1
In-context imitation learning enables few-shot policy generalization but struggles to maintain performance on unseen objects and novel scenarios. To address this, we introduce Matc…
cs.LG2025
NoiseAR: AutoRegressing Initial Noise Prior for Diffusion Models
Zeming Li, Xiangyue Liu, Xiangyu Zhang +2
Diffusion models have emerged as powerful generative frameworks, creating data samples by progressively denoising an initial random state. Traditionally, this initial state is samp…