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TraceSampler: Making Sampling Errors Predictable and Correctable for Accelerated Generative Sampling
Accurate sampling from continuous-time generative models can require many model evaluations. Low-step sampling reduces cost, but coarse updates introduce endpoint errors that can accumulate and degrade generation quality. We introduce TraceSampler, a post-training method that corrects these errors w
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