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MIA Paris

Loïc Schwaller

PhD Student
UMR518 AgroParisTech/INRA 
Team Stat & Génome 
16 rue Claude Bernard 
75 231 Paris Cedex 05 
Tel : +33 (0)1 44 08 72 09
loic.schwaller@agroparistech.fr

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Research

Tree-structured Graphical Models

Teaching

Teaching fellow in Statistics at AgroParisTech

Publications

  • L. Schwaller, S. Robin
    Exact Bayesian inference for off-line change-point detection in tree-structured graphical models
    Stat Comput (2016). doi:10.1007/s11222-016-9689-3
    http://arxiv.org/abs/1603.07871
  • B. Jakuschkin, V. Fievet, L. Schwaller, C. Robin, C. Vacher
    Deciphering the pathobiome: intra- and interkingdom interactions involving the pathogen Erysiphe alphitoides
    Microbial Ecology (2016)
  • C. Vacher, A. Tamaddoni-Nezhad, S. Kamenova, N. Peyrard, Y. Moalic, R. Sabbadin, L. Schwaller, J. Chiquet, M. Alex Smith, J. Vallance, V. Fievet, B. Jakuschkin, D. A. Bohan
    Chapter One - Learning Ecological Networks from Next-Generation Sequencing Data 
    Advances in Ecological Research 54 (2016) pp. 1–39. Academic Press
  • L. Schwaller, S. Robin, M. Stumpf
    Bayesian Inference of Graphical Model Structures Using Trees
    submitted, http://arxiv.org/abs/1504.02723
  • L. Schwaller, S. Robin, 
    Apprentissage de réseaux par agrégation bayésienne d’arbres couvrants,
    Revue d'Intelligence Artificielle vol. 29/2 (2015)  - pp.153-172

Software