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PRISM introduces a theory for designing reference processes in Schrödinger bridge models, showing that under finite computational budgets the optimal reference noise spectrum is determined by the sensor's information destruction spectrum. Experiments confirm the theory in Gaussian settings and identify where real images deviate.
本文介绍了FreeBridge，一种基于变分Schrödinger桥的框架，用于从高内涵成像数据建模细胞转变，学习受限于固定细胞流形的随机传输，以实现具有竞争力的端点保真度并减少中间支撑违反。