Nicolas Keriven

I am a CNRS researcher with the GAIA team (Geométrie, Algorithmes, Information, Apprentissage) in the GIPSA laboratory (Grenoble, France).

Research Interest

  • Signal processing on graphs, graph neural nets
  • Random graphs
  • Dimensionality reduction and Sparsity


We organize a conference on Machine Learning and Signal Processing on Graphs at CIRM, Marseille, in November 2022. See here for more infos and registration.

I co-organize the GAIA seminars, do not hesitate to subscribe to the mailing list for news.

I have been awarded an ANR JCJC grant for my project GRandMa (Random Graphs in Machine learning). See here for job openings.

See Events for more.

Short Bio

I graduated from Ecole polytechnique (Palaiseau, France), and obtained the « Mathématiques, Vision, Apprentissage » (MVA) Master’s degree from Ecole Normale Supérieure de Cachan in 2014. I prepared my PhD thesis at IRISA, Rennes, France, under the supervision of Rémi Gribonval, and defended it in October, 2017. From 2017 to 2019 I was a postdoctoral researcher at Ecole Normale Supérieure with Gabriel Peyré, on the CFM-ENS “Laplace” chair in data science, before joining CNRS in 2019 as a full-time researcher. I received the Best Student Paper Award at SPARS 2017 and the Early Career Prize of the SIAM Activity Group on Imaging Science in 2022. I am the PI of ANR JCJC GRandMa, starting in 2021.

I play the piano, here, here and here.



  • Martin Gjorgjevski, with Simon Barthelmé and Yohann de Castro (2022-)
  • Matthieu Cordonnier, with Nicolas Tremblay and Samuel Vaiter (2021-)
  • Hashem Ghanem, with Samuel Vaiter and Joseph Salmon (2020-)

Master Interns

  • Marc Theveneau (2022)
  • Martin Gjorgjevski (2022)
  • Yannick Malot (2021)
  • Hashem Ghanem (2020)