Optimal transport, from nature to machine learning

September 6, 2020 10:15 - 11:00

Location: Room 28H


Optimal transport theory was introduced at the end of the 18th century by Gaspard Monge, to understand the most efficient way of transporting a distribution of material from one place to another to build fortifications. In the last 30 years, this theory has found various applications in many problems, both from nature and machine learning. In this talk, I will present some of the applications that have been most relevant in my research.

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