im profile

Clément Glédel

Ph.D, AI/Machine Learning Researcher

Hello, I'm Clément Glédel. I'm currently working as an AI researcher at Jumbo Mana.

Research fields :

  • Deep Learning.
  • Natural Language Processing (NLP).
  • Large Language Models (LLM).
  • Generative Models.
  • Interpretability.
  • Graph data and models.

    • Contact

    clement[dot]gledel[at]gmail[dot]com

    Socials

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    Education

    2020 - 2023

    Université de Rouen, Rouen, France

    Doctor of Philosophy (PhD) Degree

    Subject: Machine Learning.
    Thesis title : Generative neural networks to solve the pre-image problem.

    2016 - 2019

    Université de Rennes 1, Rennes, France

    Engineering Degree

    Subject: Computer Science with a major in digital image processing.

    2014 - 2016

    Institut universitaire de Technologie, Rennes, France

    2-year technical Degree

    Subject: Electronic engineering.

    2011 - 2014

    Lycée Beaumont, Redon, France

    Bachelor's Degree

    Research

    Thesis
  • Clément Glédel. “Réseaux de neurones génératifs pour la résolution du problème de pré-image”. 2023. Thèse de doctorat. Normandie Université.
    • PhD publications
  • Clément Glédel, Benoit Gaüzère, and Paul Honeine. “Pre-image free graph machine learning with Normalizing Flows”. In : Pattern Recognition Letters, 2025, vol. 190, p. 45-51
  • Clément Glédel, Benoit Gaüzère, and Paul Honeine. “Graph normalizing flows to pre-image free machine learning for regression”. In : International Workshop on Graph-Based Representations in Pattern Recognition. Cham : Springer Nature Switzerland, 2023. p. 92-101.
  • Clément Glédel, Benoit Gaüzère, and Paul Honeine. “Normalizing flows pour éviter le problème de pré-image”. In : GRETSI'23: XXIXème Colloque Francophone de Traitement du Signal et des Images. 2023.
  • Clément Glédel, Benoit Gaüzère, and Paul Honeine. “Normalizing flow appliqué aux problèmes de pré-image de noyau”. In : 24-ème Conférence d’Apprentissage automatique (CAp). 2022. p. 1-10.
    • Publications available on HAL.
    Publication realized during my 3-month internship at LIMU, Kyushu University, Japan (2018)
  • Clément Glédel, Hideaki Uchiyama, Yuji Oyamada, and Rin-ichiro Taniguchi. "Texture synthesis for stable planar tracking". In : Proceedings of the 24th ACM Symposium on Virtual Reality Software and Technology. 2018. p. 1-2.