Steve Oudot

Research Scientist, DataShape team, Inria
Professor (part-time), École Polytechnique


Inria Saclay - Ile-de-France
Alan Turing Bldg, Office 2105
1 rue Honoré d'Estienne d'Orves
91120 Palaiseau
GPS:+48° 42' 52.11", +2° 12' 20.78"
Phone:+33 174 854 216
Email:steve.oudot[at] (public key)
Documents:cv, list of publications


Research interests

  • topological data analysis
  • persistence theory: algebra, topology, algorithms
  • reconstruction and probing
  • mesh generation



Steve Oudot. Persistence Theory: From Quiver Representations to Data Analysis. AMS Mathematical Surveys and Monographs, volume 209, 2015. [comments and corrections]

Note: you can download a watermarked pdf of the book (see pdf icon to the right). For copyright information and terms of use, see the terms page on the AMS website.
F. Chazal, V. de Silva, M. Glisse, S. Oudot. The Structure and Stability of Persistence Modules. Springer Briefs in Mathematics, 2016.

Recent research projects and publications (click here for a comprehensive overview)

Théo Lacombe, Marco Cuturi and Steve Y. Oudot. Large Scale computation of Means and Clusters for Persistence Diagrams using Optimal Transport. Proc. 32nd Conference on Neural Information Processing Systems (NIPS), 2018.
Mathieu Carrière, Bertrand Michel and Steve Y. Oudot. Statistical Analysis and Parameter Selection for Mapper. Journal of Machine Learning Research, 19(12):1-39, 2018.
Thomas Bonis and Steve Y. Oudot. A fuzzy clustering algorithm for the mode-seeking framework. Pattern Recognition Letters, 102:37-43, 2018.
Mathieu Carrière, Marco Cuturi and Steve Oudot. Sliced Wasserstein Kernel for Persistence Diagrams. Proc. 34th International Conference on Machine Learning (ICML), 2017.
Mathieu Carrière and Steve Y. Oudot. Local Equivalence and Intrinsic Metrics between Reeb Graphs. Proc. 33rd International Symposium on Computational Geometry (SoCG), 2017. Full version.
Jérémy Cochoy and Steve Y. Oudot. Decomposition of exact pfd persistence bimodules. arXiv:1605.09726 [math.RT].


École polytechnique:
  • INF 556 -- Topological Data Analysis
  • INF 562 -- Computational Geometry: from Theory to Applications
  • INF 474A -- Algorithmic Riddles
École Centrale Paris:
  • GMDA -- Geometric Methods in Data Analysis
  • Spring School in Luxembourg (March 2018): link
  • Summer School in TUM (July 2016): link
  • Spring School in La Marsa (April 2016): link