Toward an uncertainty principle for weighted graphs. - Bastien Pasdeloup; Réda Alami; Vincent Gripon; Michael G. Rabbat (EUSIPCO, 2015)

Supervised Feature Space Reduction for Multi-Label Nearest Neighbors. - Wissam Siblini; Réda Alami; Frank Meyer; Pascale Kuntz (IEA/AIE (1), 2017)

Node-based optimization of LoRa transmissions with Multi-Armed Bandit algorithms. - Raouf Kerkouche; Réda Alami; Raphaël Féraud; Nadège Varsier; Patrick Maillé (ICT, 2018)

Reinforcement Learning Techniques for Optimized Channel Hopping in IEEE 802.15.4-TSCH Networks. - Hiba Dakdouk; Erika Tarazona; Réda Alami; Raphaël Féraud; Georgios Z. Papadopoulos; Patrick Maillé (MSWiM, 2018)

Decentralized Exploration in Multi-Armed Bandits. - Raphaël Féraud; Réda Alami; Romain Laroche (ICML, 2019)

Restarted Bayesian Online Change-point Detector achieves Optimal Detection Delay. - Réda Alami; Odalric Maillard; Raphaël Féraud (ICML, 2020)

pymgrid: An Open-Source Python Microgrid Simulator for Applied Artificial Intelligence Research. - Gonzague Henri; Tanguy Levent; Avishai Halev; Réda Alami; Philippe Cordier (CoRR, 2020)

Bandits à Mémoire pour la prise de décision en environnement dynamique. Application à l'optimisation des réseaux de télécommunications. (Memory Bandits for decision making in dynamical environments. Application to network optimization). - Réda Alami (2021)

Bayesian Change-Point Detection for Bandit Feedback in Non-stationary Environments. - Réda Alami (ACML, 2022)

SOREO: A System for Safe and Autonomous Drones Fleet Navigation with Reinforcement Learning. - Réda Alami; Hakim Hacid; Lorenzo Bellone; Michal Barcis; Enrico Natalizio (AAAI, 2023)

Restarted Bayesian Online Change-point Detection for Non-Stationary Markov Decision Processes. - Réda Alami; Mohammed Mahfoud; Eric Moulines (CoLLAs, 2023)

A Risk-Averse Framework for Non-Stationary Stochastic Multi-Armed Bandits. - Réda Alami; Mohammed Mahfoud; Mastane Achab (ICDM (Workshops), 2023)

Emergent Communication in Multi-Agent Reinforcement Learning for Flying Base Stations. - Salmane Naoumi; Réda Alami; Hakim Hacid; Ebtesam Almazrouei; Mérouane Debbah; Mehdi Bennis; Marwa Chafii (MeditCom, 2023)

Regularization of the Policy Updates for Stabilizing Mean Field Games. - Talal Algumaei; Ruben Solozabal; Réda Alami; Hakim Hacid; Mérouane Debbah; Martin Takác 001 (PAKDD (2), 2023)

Deep Reinforcement Learning Algorithms for Hybrid V2X Communication: A Benchmarking Study. - Fouzi Boukhalfa; Réda Alami; Mastane Achab; Eric Moulines; Mehdi Bennis (CoRR, 2023)

One-Step Distributional Reinforcement Learning. - Mastane Achab; Réda Alami; Yasser Abdelaziz Dahou Djilali; Kirill Fedyanin; Eric Moulines (Trans. Mach. Learn. Res., 2023)

Emergent Communication in Multi-Agent Reinforcement Learning for Future Wireless Networks. - Marwa Chafii; Salmane Naoumi; Réda Alami; Ebtesam Almazrouei; Mehdi Bennis; Mérouane Debbah (IEEE Internet Things Mag., 2023)

Deep Reinforcement Learning Algorithms for Hybrid V2X Communication: A Benchmarking Study. - Fouzi Boukhalfa; Réda Alami; Mastane Achab; Eric Moulines; Mehdi Bennis; Thierry Lestable (ICC Workshops, 2024)

SCAFFLSA: Taming Heterogeneity in Federated Linear Stochastic Approximation and TD Learning. - Paul Mangold; Sergey Samsonov; Safwan Labbi; Ilya Levin; Réda Alami; Alexey Naumov; Eric Moulines (NeurIPS, 2024)

TANAGERS: Emergent Communication for UAVs as Flying Passive Radars. - Salmane Naoumi; Roberto Bomfin; Réda Alami; Marwa Chafii (WCNC, 2024)

SCAFFLSA: Quantifying and Eliminating Heterogeneity Bias in Federated Linear Stochastic Approximation and Temporal Difference Learning. - Paul Mangold; Sergey Samsonov; Safwan Labbi; Ilya Levin; Réda Alami; Alexey Naumov; Eric Moulines (CoRR, 2024)

Investigating Regularization of Self-Play Language Models. - Réda Alami; Abdalgader Abubaker; Mastane Achab; Mohamed El Amine Seddik; Salem Lahlou (CoRR, 2024)

Falcon2-11B Technical Report. - Quentin Malartic; Nilabhra Roy Chowdhury; Ruxandra Cojocaru; Mugariya Farooq; Giulia Campesan; Yasser Abdelaziz Dahou Djilali; Sanath Narayan; Ankit Singh; Maksim Velikanov; Basma El Amel Boussaha; Mohammed Al-Yafeai; Hamza Alobeidli; et al. (CoRR, 2024)

Alignment with Preference Optimization Is All You Need for LLM Safety. - Réda Alami; Ali Khalifa Almansoori; Ahmed Alzubaidi; Mohamed El Amine Seddik; Mugariya Farooq; Hakim Hacid (CoRR, 2024)

Maximizing the Potential of Synthetic Data: Insights from Random Matrix Theory. - Aymane El Firdoussi; Mohamed El Amine Seddik; Soufiane Hayou; Réda Alami; Ahmed Alzubaidi; Hakim Hacid (ICLR, 2025)

NeurIPS 2025 E2LM Competition : Early Training Evaluation of Language Models. - Mouadh Yagoubi; Yasser Dahou; Billel Mokeddem; Younes Belkada; Phuc H. Le-Khac; Basma El Amel Boussaha; Réda Alami; Jingwei Zuo; Damiano Marsili; Mugariya Farooq; Mounia Lalmas; Georgia Gkioxari; et al. (CoRR, 2025)