The Representation Power of Neural Networks: Breaking the Curse of Dimensionality. - Moïse Blanchard; M. Amine Bennouna (CoRR, 2020)

Learning and Decision-Making with Data: Optimal Formulations and Phase Transitions. - M. Amine Bennouna; Bart P. G. Van Parys (CoRR, 2021)

Shallow and Deep Networks are Near-Optimal Approximators of Korobov Functions. - Moïse Blanchard; Mohammed Amine Bennouna (ICLR, 2022)

Holistic Robust Data-Driven Decisions. - M. Amine Bennouna; Bart P. G. Van Parys (CoRR, 2022)

Certified Robust Neural Networks: Generalization and Corruption Resistance. - M. Amine Bennouna; Ryan Lucas; Bart P. G. Van Parys (ICML, 2023)

From Distributional Robustness to Robust Statistics: A Confidence Sets Perspective. - Gabriel Chan; Bart P. G. Van Parys; M. Amine Bennouna (CoRR, 2024)