Teaching

Machine learning for graphs and with graphs (full description and materials)

The objective of this course is threefold: it aims at presenting the essential tools of graph theory for data science, it introduces the classical machine learning methods for dealing with graphs and finally, it presents some of the most recent ML methods with structured data.

Deep learning ECN 2018/2019

• Ecole Centrale de Nantes (ECN) October 2019 : Towards more Deep Learning (GAN’s, Wasserstein GAN’s, VAE, Fine-Tuning), all materials available here
• Ecole Centrale de Nantes (ECN) October 2018 : Generative models (GAN’s, Wasserstein GAN’s and VAE), all materials available here