Sébastien Adam

Full Professor at the University of Rouen Normandy
Head of the Master Data Science and Engineering
Researcher in machine learning at LITIS – EA 4108 and NORM@STIC – FR CNRS 3638

News :

  • 05-2021 : Our paper « Breaking the Limits of Message Passing Graph Neural Networks » has been accepted to ICML’21
  • 05-2021 : Our paper « Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective » has been presented at ICLR’21 (see the paper on openreview)
  • 01-2021 : Inauguration of the ANR LabCom L-Lisa with https://www.saagie.com/fr/
  • 12-2020 : R. Hérault HDR commitee: « Machine learning for structured problems »
  • 06-2020 : Two papers accepted at ICML’20 workshop GRL+

Research interests :

  • Graph-based Machine Learning – Graph Neural Networks (GNN)
  • Structural Pattern Recognition : subgraph isomorphism, graph edit distance;
  • Machine learning : Random Forests, Deep Learning;
  • Multi-objective optimization : ROC-based learning, Particle Swarm optimization.

Applications  : Document image analysis, Medical image analysis