Théophile Cantelobre

PhD Student @ Inria Paris. Machine Learning Engineer.



I am a PhD student in the SIERRA team at Inria Paris, working under the supervision of Alessandro Rudi and Benjamin Guedj.

My work leverages approximate kernel methods to develop and study maching learning algorithms. I’ve worked on invariances and time series.

This site is still (a bit) under construction.

Open to work: I am looking for a permanent position as a Machine Learning Scientist or Engineer in or around Paris from Septembre 2024. Get in touch !


Apr 02, 2024 Presented Diffy at Imaging in Paris at IHP. Slides are here.
Feb 09, 2024 New preprint with Carlo, Benjamin and Alessandro is online!
Jul 17, 2022 Presenting our work at ICML in Baltimore.
Jul 01, 2022 Hanging out at COLT with SIERRA colleagues. Reach out to chat!
Oct 01, 2021 Started my PhD @ Inria between Paris and London!

selected publications

  1. Closed-form Filtering for Non-linear Systems
    Théophile Cantelobre , Carlo Ciliberto , Benjamin Guedj , and 1 more author
    arXiv 2402.09796, 2024
  2. Measuring dissimilarity with diffeomorphism invariance
    Théophile Cantelobre , Carlo Ciliberto , Benjamin Guedj , and 1 more author
    In Proceedings of the 39th International Conference on Machine Learning , 17–23 jul 2022
  3. A PAC-Bayesian Perspective on Structured Prediction with Implicit Loss Embeddings
    Théophile Cantelobre , Benjamin Guedj , María Pérez-Ortiz , and 1 more author
    arXiv 2012.03780,, 17–23 jul 2020
  4. A real-time unscented Kalman filter on manifolds for challenging AUV navigation
    Théophile Cantelobre , Clément Chahbazian , Arnaud Croux , and 1 more author
    In 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) , 17–23 jul 2020