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Feedback Efficient Online Fine-Tuning of Diffusion Models
It is natural to frame this as a reinforcement learning (RL) problem, in which the objective is to fine-tune a diffusion model to maximize a reward function that corresponds to some property.
Fine-Tuning of Continuous-Time Diffusion Models as Entropy-Regularized Control
Diffusion models excel at capturing complex data distributions, such as those of natural images and proteins.
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