Newton Matching for Generative Modeling: A Unified Framework for Fine-Tuning and Sampling
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arXiv:2609.05727v1 Announce Type: new Abstract: We develop Newton Matching, a unified framework for fine-tuning and sampling in generative modeling. The target is $\pi\propto\mu e^{\tau r}$, where $r$ is the reward, $\tau>0$ the inverse temperature, and $\mu$ denotes the pretrained model's terminal…
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- 2026-09-09 04:00 · arXiv cs.LG
Newton Matching for Generative Modeling: A Unified Framework for Fine-Tuning and Sampling