English(EN) Simulation-free Unbalanced Dynamic Optimal Transport with General Growth Penalty

新的SUDO框架实现了更快、更灵活的不平衡最优传输

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-07 04:00

研究人员开发了SUDO，一种用于无模拟不平衡动态最优传输（UDOT）的新框架，该框架可处理一般非二次凸增长惩罚。该方法绕过了计算密集型NeuralODE模拟或仅限于二次惩罚（如Wasserstein-Fisher-Rao（WFR））的解析解的需要。SUDO学习条件路径和传输成本，然后使用不平衡流匹配来实现无模拟解决方案，在计算速度显著提高的同时，实现了与现有方法相当的准确性。 AI

影响引入了一个更有效的计算框架来模拟细胞动力学，有可能加速生物学研究。

排序理由这是一篇研究论文，详细介绍了一种针对特定类型最优传输问题的新计算方法。[lever_c_demoted from research: ic=1 ai=1.0]

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arXiv cs.AI TIER_1 English(EN) · Junda Ying, Yuxuan Wang, Bowen Yang, Peijie Zhou, Lei Zhang · 2026-09-07 04:00

无模拟不平衡动态最优传输与一般增长惩罚

arXiv:2609.04710v1 Announce Type: cross Abstract: Inferring cellular dynamics from unpaired single-cell snapshots requires modeling both state transitions and population growth or death. Unbalanced dynamic optimal transport (UDOT) addresses this by penalizing growth along transpo…

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无模拟不平衡动态最优传输与一般增长惩罚

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