Pierre Latouche
Scholar

Pierre Latouche

Google Scholar ID: LlSJplkAAAAJ
Laboratoire LMBP, Université Clermont Auvergne, Institut Universitaire de France (IUF)
Statistical learning on networkstextsand heterogenous dataStatistical learning in high
Citations & Impact
All-time
Citations
866
 
H-index
16
 
i10-index
26
 
Publications
20
 
Co-authors
22
list available
Resume (English only)
Academic Achievements
  • Reviewer for journals and conferences including JMLR, JASA, PNAS, Biometrika, JRSS-B, JRSS-C, NeurIPS, ICML, AISTATS. Associate editor for Bayesian Analysis Journal. Expert for the European research council. Co-invented and developed Linkage, Topix, and Indago softwares. Holds a patent in the US and involved in entrepreneurial projects. Published several recent papers, such as one with Metodiev et al. on the THAMES estimator.
Research Experience
  • Currently affiliated with the LMBP laboratory at UCA (Aubière) and DepMAP at Ecole Polytechnique (Palaiseau). Also a member of the Institut Universitaire de France (IUF) and an associate Inria researcher. Previously worked as a Professor at the MAP5 laboratory of UPC (Université Paris Cité) and as a visiting senior researcher at Mines Paris PSL.
Education
  • No specific educational background information provided.
Background
  • Professor of Applied Mathematics. Research interests include: Statistical/Machine learning on networks, texts, and heterogenous data; Statistical/Machine learning in high dimensions; Deep graphical modelling/Deep learning; Statistical learning with processes; Tests and proofs.
Miscellany
  • Responsible along with P. A. Mattei for the course 'introduction to probabilistic graphical models and deep generative models' of the master MVA of ENS Paris Saclay. Actively involved in the knowledge transfer of the algorithms/software he develops.