Spherical Perspective on Learning with Batch Norm. - Simon Roburin; Yann de Mont-Marin; Andrei Bursuc; Renaud Marlet; Patrick Pérez; Mathieu Aubry (CoRR, 2020)

Localizing Objects with Self-supervised Transformers and no Labels. - Oriane Siméoni; Gilles Puy; Huy V. Vo; Simon Roburin; Spyros Gidaris; Andrei Bursuc; Patrick Pérez; Renaud Marlet; Jean Ponce (BMVC, 2021)

Take One Gram of Neural Features, Get Enhanced Group Robustness. - Simon Roburin; Charles Corbière; Gilles Puy; Nicolas Thome; Mathieu Aubry; Renaud Marlet; Patrick Pérez (CoRR, 2022)

Spherical perspective on learning with normalization layers. - Simon Roburin; Yann de Mont-Marin; Andrei Bursuc; Renaud Marlet; Patrick Pérez; Mathieu Aubry (Neurocomputing, 2022)

Optimization of deep neural network: a functional perspective with applications in image classification. (Optimisation des réseaux de neurones profonds: une perspective fonctionnelle et applications en classification d'image). - Simon Roburin (2022)

DRIVINGVQA: Analyzing Visual Chain-of-Thought Reasoning of Vision Language Models in Real-World Scenarios with Driving Theory Tests. - Charles Corbière; Simon Roburin; Syrielle Montariol; Antoine Bosselut; Alexandre Alahi (CoRR, 2025)