158 citations · 190 across the 14 of their papers we have counts for
4 papers · 1 filter
Adjoint Guidance Flow: Amortized Critic Guidance for VLA Policies
Jeongsol Kim, Youngjun Jun, Kyumin Choi +6
Flow-based Vision-Language-Action (VLA) policies are typically trained by behavior cloning and thus do not explicitly optimize long-term task return. Critic guidance steers generat…
Gradient-Free Noise Optimization for Reward Alignment in Generative Models
Jeongsol Kim, Hongeun Kim, Jian Wang +1
Existing reward alignment methods for diffusion and flow models rely on multi-step stochastic trajectories, making them difficult to extend to deterministic generators. A natural a…
Reward Score Matching: Unifying Reward-based Fine-tuning for Flow and Diffusion Models
Jeongjae Lee, Jinho Chang, Jeongsol Kim +1
Reward-based fine-tuning steers a pretrained diffusion or flow-based generative model toward higher-reward samples while remaining close to the pretrained model. Although existing…
Diffusion models for inverse problems
Hyungjin Chung, Jeongsol Kim, Jong Chul Ye
Using diffusion priors to solve inverse problems in imaging have significantly matured over the years. In this chapter, we review the various different approaches that were propose…