瓦瑟斯坦虫洞:可扩展的最佳运输距离与变压器
Doron Haviv1,2, Russell Zhang Kunes1,3, Thomas Dougherty1,2
1Computational and Systems Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center.
ArXiv
|June 3, 2024
概括
瓦瑟斯坦虫洞将分布嵌入到隐性空间中,将最佳运输 (OT) 距离与欧几里德距离近似. 这种基于变压器的自动编码器可以实现可扩展的OT计算和对复杂数据的分析.
科学领域:
- 计算几何学计算几何学
- 机器学习 机器学习
- 单细胞生物学 单细胞生物学
背景情况:
- 最佳运输 (OT) 和瓦瑟斯坦距离对于比较分布至关重要.
- 计算双对瓦瑟斯坦距离对于大型数据集来说是计算密集的.
- 现有的方法缺乏可扩展性和高维数据的高效计算.
研究的目的:
- 开发一种可扩展的方法来近似计算瓦瑟斯坦距离.
- 创建一个嵌入空间,其中欧几里德距离近似的OT距离.
- 为了实现基于OT的分析的高效计算和概括.
主要方法:
- 开发了瓦瑟斯坦虫洞,一个基于变压器的自动编码器.
- 自动编码器将经验分布嵌入到潜空间中.
- 利用一个客观函数,将多维缩放 (MDS) 理论扩展到绑定嵌入错误.
主要成果:
- 瓦瑟斯坦虫洞的嵌入非常接近瓦瑟斯坦距离.
- 实现了OT距离的线性时间计算,显著提高了可扩展性.
- 演示了解码器将嵌入空间操作 (巴里中心估计,插值) 泛化为OT空间的能力.
结论:
- 瓦斯斯坦虫洞为最佳运输提供了一个可扩展和可解释的方法.
- 能够有效地分析计算几何和单细胞生物学中的分布.
- 通过弥合欧几里德空间和瓦瑟斯坦空间,促进了新的数据分析途径.
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