Author

Yi-Miao Zhou

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Preprint Oct 2026

FASTER: Fast Adjoint Stochastic Transport for Endpoint Refinement in Reward-Guided Image Editing

Reward-guided image editing at test time seeks to improve a specified reward while preserving source content and visual plausibility. Many existing approaches optimize candidates through pretrained generation processes, making repeated adjustment depend on costly large-model execution and, in some cases, backbone backp...

Yi-Miao Zhou, Ze-Jia Zhong, Jing-Ya Wang et al. · 0 citations

#machine learning Preprint Sep 2026

QAMM: Adjoint MeanFlow Matching for Few-Step Offline Reinforcement Learning

Flow policies can model rich action distributions, but their iterative sampling limits decision speed. Adjoint matching uses the critic's action gradient to improve a flow policy without backpropagating through its sampling trajectory, yet its supervision is defined for instantaneous velocities. We propose QAMM, a meth...

Yu Gong, Shu-Tong Ding, Mo-Kai Pan et al. · 0 citations