Optimal Transport And Machine Learning With Marco Cuturi The Twiml Ai

Optimal Transport And Machine Learning With Marco Cuturi The Twiml Ai Marco and i spent some time discussing his work on optimal transport theory at nips last year. in our discussion, marco explains optimal transport, which provides a way for us to compare probability measures. we look at ways optimal transport can be used across machine learning applications, including graphical, nlp, and image examples. Marco and i spent some time discussing his work on optimal transport theory at nips last year. in our discussion, marco explains optimal transport, which provides a way for us to compare.

Optimal Transport And Machine Learning With Marco Cuturi The Twiml Ai Optimal transport and machine learning anna korba · aram alexandre pooladian · charlotte bunne · david alvarez melis · marco cuturi · ziv goldfeld room 220 222. In this episode, i’m joined by marco cuturi, professor of statistics at université paris saclay. marco and i spent some time discussing his work on optimal transport theory at nips last year. in our discussion, marco explains optimal transport, which provides a way for us to compare probability measures. we look at ways optimal transport can be used across machine learning applications. 31 jul 19 spoke @ discrete optimization and machine learning, tokyo . 23 jun 19 spoke @ people in optimal transportation and applications, cortona. 13 jun 19 spoke @ geometric and topological approaches to data analysis, cambridge, uk. 17 may 19 spoke @ ist young scientist symposium, vienna. 13 may 19 spoke @ optimal transport: from geometry to. The optimal transport and machine learning (otml) workshop series (in '14, '17, '19) has been instrumental in shaping this research thread. for this new installment of otml, we aim even bigger by hosting an exceptional keynote speaker, alessio figalli, who received the 2018 fields medal for his breakthroughs in the analysis of the regularity.