I am PhD student in Machine Learning under the supervision of Rémi Flamary and Marco Corneli at the Université Côte d’Azur, and part of the 3IA Côte d’Azur and the MAASAI team of INRIA Sophia‑Antipolis. In this context, I teach a variety of topics related to artificial intelligence, and study Machine Learning applications of Optimal Transport theory to structured data such as networks. Recent theoretical extensions of Optimal Transport from vector data to structured data have motivated Machine Learning research, including my own contributions, to take the first steps to illustrate how to leverage or adapt these tools to design more interpretable and efficient models for dealing with graph data resulting from real‑world scenarios.
For more information, visit my personal website at https://cedricvincentcuaz.github.io/
