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科学研究
报告题目:

Large-scale optimal transport and its application in biomedical research

报告人:

张静怡 助理教授(清华大学)

报告时间:

报告地点:

腾讯会议 ID:882 987 622

报告摘要:

Optimal transport has been one of the most exciting subjects in mathematics, starting from the 18th century. As a powerful tool to transport between two probability measures, optimal transport methods have been nowadays in a remarkable proliferation of modern data science applications. To meet the big data challenges, various computational tools have been developed in the recent decade to accelerate the computation for optimal transport methods. In this talk, we present a projection-based optimal transport method. We then discuss its real-world applications in biomedical research.

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