Author

He Kang

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Jul 2026

JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models

JAGG approximates intermediate-step Jacobians via $t$-weighted interpolation of the endpoint Jacobians, then aggregates per-step upstream signals into two composite gradients applied through a single joint backward pass, and it is proved this interpolation is exact when the velocity is linear in $(z,t)$, and a cosine-s...

Rui-Ying Ding, Jie Li, He Kang et al. · arXiv.org · 0 citations