Bertrand Charpentier

Technical University of Munich
Department of Informatics - I26
Boltzmannstr. 3
85748 Garching b. München
Germany

Room: 02.11.037
E-Mail: charpent [at] in.tum.de

Research Focus

  • Uncertainty Estimation in Deep Learning
  • Causality Inference
  • Hierarchical and Multi-scale Clustering
  • Machine Learning for Graphs and Sequences

Publications

  • Marin Bilos, Bertrand Charpentier, Stephan Günnemann
    Uncertainty on Asynchronous Time Event Prediction
    Conference on Neural Information Processing Systems (NeurIPS), 2019. Spotlight talk.
    [Paper|GitHub|Publisher]
  • Bertrand Charpentier, Thomas Bonald
    Tree Sampling Divergence: An Information-Theoretic Metric for Hierarchical Graph Clustering
    International Joint Conferences on Artificial Intelligence (IJCAI), 2019.
    [Paper|GitHub|Publisher]
  • Bertrand Charpentier
    Multi-scale Clustering in Graphs using Modularity
    KTH Publication Library (DiVA), 2019.
    [Paper|GitHub|Publisher]
  • Thomas Bonald , Bertrand Charpentier, Alexis Galland, Alexandre Hollocou
    Hierarchical Graph Clustering using Node Pair Sampling
    Mining and Learning with Graphs (MLG - KDD Workshop), 2018.
    [Paper|GitHub|Publisher]

Education

  • 2016 - 2018: M.Sc. in Machine Learning (passed with high distinction), KTH Royal Institute of Technology
  • 2014 - 2018: M.Sc. & B.Sc. in Mathematics and Computer Science (passed with high distinction), Ensimag
  • 2012 - 2014: CPGE in Mathematics and Physics, Lycee Henri IV

Software

  • Scikit-Network (co-creator): Simple and efficient tools for the analysis of large graphs 
    [GitHub|Documention]