Oumayma Bounou

C409

Inria, 2 Rue Simone Iff

Paris, France

I’m a last year PhD student in the WILLOW project-team which is a joint team between Inria Paris, the Department of Computer Science of Ecole Normale Supérieure, and CNRS. I’m advised by Justin Carpentier and Jean Ponce.
Prior to that, I received an engineering degree from Télécom Paris.
My work focuses on learning representations of dynamical systems from sensor measurements.
My research interests lie in robotics and control, computer vision and machine learning.

news

Dec 2023	I am in Singapore to present our work on differentiating optimal control solvers at CDC 2023 and to visit Eureka Robotics.
Jul 2023	Our work on differentiating optimal control solvers was accepted to CDC 2023!
Jun 2022	I am visiting Jean Ponce at the CDS and Ludovic Righetti at the Machines in Motion lab at NYU Tandon.
Sep 2021	Our work on learning representations from videos for control was accepted to NeurIPS 2021!
Oct 2020	I started my PhD in the WILLOW team!

publications

Leveraging Proximal Optimization for Differentiating Optimal Control Solvers

Oumayma Bounou, Jean Ponce, and Justin Carpentier

In IEEE 62nd Conference on Decision and Control (CDC) Dec 2023

PDF
Online Learning and Control of Complex Dynamical Systems from Sensory Input

Oumayma Bounou, Jean Ponce, and Justin Carpentier

In Thirty-Fifth Conference on Neural Information Processing Systems 2021

PDF
Large-Scale Historical Watermark Recognition: dataset and a new consistency-based approach

Xi Shen, Ilaria Pastrolin, Oumayma Bounou, Spyros Gidaris, Marc Smith, Olivier Poncet, and Mathieu Aubry

In 2020 25th International Conference on Pattern Recognition (ICPR) 2021

PDF
A Web Application for Watermark Recognition

Oumayma Bounou, Tom Monnier, Ilaria Pastrolin, Xi SHEN, Christine Benevent, Marie-Françoise Limon-Bonnet, François Bougard, Mathieu Aubry, Marc H. Smith, Olivier Poncet, and Pierre-Guillaume Raverdy

Journal of Data Mining and Digital Humanities Jul 2020

PDF