Steve Oudot
Scholar

Steve Oudot

Google Scholar ID: tYki-xwAAAAJ
Inria
Applied and computational topology
Homepage↗Google Scholar↗
Citations & Impact
All-time
Citations
3,628
 
H-index
27
 
i10-index
41
 
Publications
20
 
Co-authors
0
 
Contact
GitHubOpen ↗
Publications
4 items
IdEst: Assessing Self-Supervised Learning Representations via Intrinsic Dimension
2026
Cited
0
T-REGS: Minimum Spanning Tree Regularization for Self-Supervised Learning
2025
Cited
0
Counts and end-curves in two-parameter persistence
2025
Cited
0
D-GRIL: End-to-End Topological Learning with 2-parameter Persistence
arXiv.org · 2024
Cited
3
Resume
Academic Achievements
  • - Books:
  • - Persistence Theory: From Quiver Representations to Data Analysis, AMS Mathematical Surveys and Monographs, volume 209, 2015
  • - The Structure and Stability of Persistence Modules, Springer Briefs in Mathematics, 2016
  • - Analyse topologique de données, Journées mathématiques X-UPS, Éditions de l'École polytechnique, 2024
  • - Surveys:
  • - Differential Calculus and Optimization in Persistence Module Categories, ArXiv preprint 2411.00493 [AT], November 2024
  • - Inverse Problems in Topological Persistence, Abel Symposia, vol. 15, 2020
  • - Recent research projects and publications:
  • - T-REGS: Minimum Spanning Tree Regularization for Self-Supervised Learning, Accepted to NeurIPS 2025 as a spotlight paper
  • - Counts and end-curves in two-parameter persistence, ArXiv preprint 2505.13412 [AT], May 2025
  • - Computation of gamma-linear projected barcodes for multiparameter persistence, Journal of Applied and Computational Topology, vol. 9, number 12, 2025
  • - Local Characterization of Block-Decomposability for Multiparameter Persistence Modules, To appear in Homology, Homotopy and Applications
  • - SING: Stability-Incorporated Neighborhood Graph, SIGGRAPH Asia 2024 Conference Papers, article 130, 2024
  • - On the bottleneck stability of rank decompositions of multi-parameter persistence modules, Advances in Mathematics, 451:109780, 2024
Research Experience
  • - Senior Researcher, head of the GeomeriX group, Inria
  • - Adjunct Professor, École Polytechnique
  • - Teaching:
  • - CSC_43042_EP -- Algorithms for data analysis in Python
  • - CSC_51056_EP -- Topological Data Analysis
  • - MPRI -- Computational Geometry and Topology
  • - Other teaching experiences:
  • - Spring School in Luxembourg (March 2018)
  • - Summer School in TUM (July 2016)
  • - Spring School in La Marsa (April 2016)
Education
  • Information not provided
Background
  • Research interests: persistence theory and its connections to homological algebra, representation theory, and sheaf theory; topological data analysis and its connections to statistics, non-smooth optimization, and machine learning; multimodal time series analysis; manifold learning, sampling and reconstruction.
Miscellany
  • Contact information:
  • - Address: Inria Saclay - Ile-de-France, Alan Turing Bldg, Office 134, 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]inria.fr
  • - Students:
  • - Théo Prosper (since 2025, co-advised with Mathieu Carrière)
  • - Émilien Ganier (since 2025, co-advised with Pooran Memari)
  • - Marceau Michel (since 2024, co-advised with Romain Billot)
  • - Jingyi Li (since 2023)
  • - Julie Mordacq (since 2022, co-advised with Vicky Kalogeiton)
  • - Vadim Lebovici (2020-2023, co-advised with François Petit, now Maître de Conférence at IMJ-PRG, Sorbonne University)
  • - Théo Lacombe (2017-2020, co-advised with Marco Cuturi, now Maître de Conférence at LIGM, Gustave Eiffel University)
  • - Nicolas Berkouk (2016-2020, now Data Analyst at the CNIL)
  • - Elchanan Solomon (2016-2019, co-advised with Jeffrey Brock, now Lead Scientist at Deep Detection)
  • - Jérémy Cochoy (2015-2018, now CEO at Redstone Solution OÜ)
  • - Mathieu Carrière (2014-2017, now Chargé de Recherche at Inria)
  • - Mickaël Buchet (2011-2014, co-advised with Frédéric Chazal, now Data Consultant at Polyconseil)