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Lyapunov Guidance: A Unified Framework for Stabilizing Generative Flows

Flow matching has emerged as an effective framework for learning complex data distributions, but adapting pretrained flow models to new tasks often requires computationally expensive retraining. Post-training guidance provides a more effici

https://arxiv.org/abs/2607.14272v1 ↗
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