arXivAI Research
Direct Intermediate Initialization for Tilted Diffusion Samplers
「直接中間初始化」技術:突破傾斜擴散採樣器的有限粒子瓶頸
This paper introduces Direct Intermediate Initialization, which pulls back tilted diffusion targets to a softened clean-space posterior and maps samples via a Gaussian bridge, boosting SMC sampler performance under finite-particle constraints.
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