Cosine Annealing, Mixnet and Swish Activation for Computer Go. - Tristan Cazenave; Julien Sentuc; Mathurin Videau (ACG, 2021)

Multi-objective Genetic Programming for Explainable Reinforcement Learning. - Mathurin Videau; Alessandro Ferreira Leite; Olivier Teytaud; Marc Schoenauer (EuroGP, 2022)

Improving Nevergrad's Algorithm Selection Wizard NGOpt Through Automated Algorithm Configuration. - Risto Trajanov; Ana Nikolikj; Gjorgjina Cenikj; Fabien Teytaud; Mathurin Videau; Olivier Teytaud; Tome Eftimov; Manuel López-Ibáñez 001; Carola Doerr (PPSN (1), 2022)

Interactive Latent Diffusion Model. - Mathurin Videau; Nickolai Knizev; Alessandro Ferreira Leite; Marc Schoenauer; Olivier Teytaud (GECCO, 2023)

Evolutionary Retrofitting. - Mathurin Videau; Mariia Zameshina; Alessandro Ferreira Leite; Laurent Najman; Marc Schoenauer; Olivier Teytaud (CoRR, 2024)

Mixture of Experts in Image Classification: What's the Sweet Spot? - Mathurin Videau; Alessandro Ferreira Leite; Marc Schoenauer; Olivier Teytaud (CoRR, 2024)

Evolutionary Pre-Prompt Optimization for Mathematical Reasoning. - Mathurin Videau; Alessandro Ferreira Leite; Marc Schoenauer; Olivier Teytaud (CoRR, 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)

Winter Soldier: Backdooring Language Models at Pre-Training with Indirect Data Poisoning. - Wassim Bouaziz; Mathurin Videau; Nicolas Usunier; El-Mahdi El-Mhamdi (CoRR, 2025)

Tuning without Peeking: Provable Privacy and Generalization Bounds for LLM Post-Training. - Ismail Labiad; Mathurin Videau; Matthieu Kowalski; Marc Schoenauer; Alessandro Ferreira Leite; Julia Kempe; Olivier Teytaud (CoRR, 2025)