VirAAL: Virtual Adversarial Active Learning. - Grégory Senay; Badr Youbi Idrissi; Marine Haziza (CoRR, 2020)

VirAAL: Virtual Adversarial Active Learning for NLU. - Grégory Senay; Badr Youbi Idrissi; Marine Haziza (SLT, 2021)

Masked Adversarial Generation for Neural Machine Translation. - Badr Youbi Idrissi; Stéphane Clinchant (CoRR, 2021)

Simple data balancing achieves competitive worst-group-accuracy. - Badr Youbi Idrissi; Martín Arjovsky; Mohammad Pezeshki; David Lopez-Paz (CLeaR, 2022)

ImageNet-X: Understanding Model Mistakes with Factor of Variation Annotations. - Badr Youbi Idrissi; Diane Bouchacourt; Randall Balestriero; Ivan Evtimov; Caner Hazirbas; Nicolas Ballas; Pascal Vincent; Michal Drozdzal; David Lopez-Paz; Mark Ibrahim (ICLR, 2023)

Better & Faster Large Language Models via Multi-token Prediction. - Fabian Gloeckle; Badr Youbi Idrissi; Baptiste Rozière; David Lopez-Paz; Gabriel Synnaeve (ICML, 2024)

From Bytes to Ideas: Language Modeling with Autoregressive U-Nets. - Mathurin Videau; Badr Youbi Idrissi; Alessandro Ferreira Leite; Marc Schoenauer; Olivier Teytaud; David Lopez-Paz (CoRR, 2025)

Temperature Matters: Enhancing Watermark Robustness Against Paraphrasing Attacks. - Badr Youbi Idrissi; Monica Millunzi; Amelia Sorrenti; Lorenzo Baraldi 001; Daryna Dementieva (CoRR, 2025)