Oumayma Bounou

According to our database, Oumayma Bounou authored at least 10 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Temporal Straightening for Latent Planning.

Ying Wang, Oumayma Bounou, Gaoyue Zhou, Randall Balestriero, Tim G. J. Rudner, Yann LeCun, Mengye Ren

CoRR, March, 2026

Value-guided action planning with JEPA world models.

Matthieu Destrade, Oumayma Bounou, Quentin Le Lidec, Jean Ponce, Yann LeCun

CoRR, January, 2026

2025

Closing the Train-Test Gap in World Models for Gradient-Based Planning.

Arjun Parthasarathy, Nimit Kalra, Rohun Agrawal, Yann LeCun, Oumayma Bounou, Pavel Izmailov, Micah Goldblum

CoRR, December, 2025

2024

Learning System Dynamics for Control from Sensory Input. (Apprentissage de modèles dynamiques pour le contrôle à partir de données sensorielles).

Oumayma Bounou

PhD thesis, 2024

Learning System Dynamics from Sensory Input under Optimal Control Principles.

Oumayma Bounou, Jean Ponce, Justin Carpentier

Proceedings of the 63rd IEEE Conference on Decision and Control, 2024

2023

Leveraging Proximal Optimization for Differentiating Optimal Control Solvers.

Oumayma Bounou, Jean Ponce, Justin Carpentier

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022

Spatially-Consistent Feature Matching and Learning for Heritage Image Analysis.

Xi Shen, Robin Champenois, Shiry Ginosar, Ilaria Pastrolin, Morgane Rousselot, Oumayma Bounou, Tom Monnier, Spyros Gidaris, François Bougard, Pierre-Guillaume Raverdy, Marie-Françoise Limon-Bonnet, Christine Benevent, Marc H. Smith, Olivier Poncet, K. Bender, Béatrice Joyeux-Prunel, Elizabeth Honig, Alexei A. Efros, Mathieu Aubry

Int. J. Comput. Vis., 2022

2021

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

Oumayma Bounou, Jean Ponce, Justin Carpentier

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

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, Pierre-Guillaume Raverdy

J. Data Min. Digit. Humanit., 2020

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

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

Proceedings of the 25th International Conference on Pattern Recognition, 2020