Réda Alami - RankMe

34 papers A* 5A 1B 1C 1Journal 17Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Maximizing the Potential of Synthetic Data: Insights from Random Matrix Theory. ICLR Aymane El Firdoussi, Mohamed El Amine Seddik, Soufiane Hayou, Réda Alami, Ahmed Alzubaidi, Hakim Hacid
2025	J	`jnl`	NeurIPS 2025 E2LM Competition : Early Training Evaluation of Language Models. CoRR 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, Patrick Gallinari, Philip Torr, Hakim Hacid
2024	J	`jnl`	Alignment with Preference Optimization Is All You Need for LLM Safety. CoRR Réda Alami, Ali Khalifa Almansoori, Ahmed Alzubaidi, Mohamed El Amine Seddik, Mugariya Farooq, Hakim Hacid
2024	—	`conf`	Deep Reinforcement Learning Algorithms for Hybrid V2X Communication: A Benchmarking Study. ICC Workshops Fouzi Boukhalfa, Réda Alami, Mastane Achab, Eric Moulines, Mehdi Bennis, Thierry Lestable
2024	J	`jnl`	Falcon2-11B Technical Report. CoRR 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, Leen Al Qadi, Mohamed El Amine Seddik, Kirill Fedyanin, Réda Alami, Hakim Hacid
2024	J	`jnl`	Investigating Regularization of Self-Play Language Models. CoRR Réda Alami, Abdalgader Abubaker, Mastane Achab, Mohamed El Amine Seddik, Salem Lahlou
2024	J	`jnl`	Maximizing the Potential of Synthetic Data: Insights from Random Matrix Theory. CoRR Aymane El Firdoussi, Mohamed El Amine Seddik, Soufiane Hayou, Réda Alami, Ahmed Alzubaidi, Hakim Hacid
2024	J	`jnl`	SCAFFLSA: Quantifying and Eliminating Heterogeneity Bias in Federated Linear Stochastic Approximation and Temporal Difference Learning. CoRR Paul Mangold, Sergey Samsonov, Safwan Labbi, Ilya Levin, Réda Alami, Alexey Naumov, Eric Moulines
2024	A*	`conf`	SCAFFLSA: Taming Heterogeneity in Federated Linear Stochastic Approximation and TD Learning. NeurIPS Paul Mangold, Sergey Samsonov, Safwan Labbi, Ilya Levin, Réda Alami, Alexey Naumov, Eric Moulines
2024	B	`conf`	TANAGERS: Emergent Communication for UAVs as Flying Passive Radars. WCNC Salmane Naoumi, Roberto Bomfin, Réda Alami, Marwa Chafii
2023	—	`conf`	A Risk-Averse Framework for Non-Stationary Stochastic Multi-Armed Bandits. ICDM (Workshops) Réda Alami, Mohammed Mahfoud, Mastane Achab
2023	J	`jnl`	A Risk-Averse Framework for Non-Stationary Stochastic Multi-Armed Bandits. CoRR Réda Alami, Mohammed Mahfoud, Mastane Achab
2023	J	`jnl`	Deep Reinforcement Learning Algorithms for Hybrid V2X Communication: A Benchmarking Study. CoRR Fouzi Boukhalfa, Réda Alami, Mastane Achab, Eric Moulines, Mehdi Bennis
2023	—	`conf`	Emergent Communication in Multi-Agent Reinforcement Learning for Flying Base Stations. MeditCom Salmane Naoumi, Réda Alami, Hakim Hacid, Ebtesam Almazrouei, Mérouane Debbah, Mehdi Bennis, Marwa Chafii
2023	J	`jnl`	Emergent Communication in Multi-Agent Reinforcement Learning for Future Wireless Networks. CoRR Marwa Chafii, Salmane Naoumi, Réda Alami, Ebtesam Almazrouei, Mehdi Bennis, Mérouane Debbah
2023	J	`jnl`	Emergent Communication in Multi-Agent Reinforcement Learning for Future Wireless Networks. IEEE Internet Things Mag. Marwa Chafii, Salmane Naoumi, Réda Alami, Ebtesam Almazrouei, Mehdi Bennis, Mérouane Debbah
2023	J	`jnl`	One-Step Distributional Reinforcement Learning. CoRR Mastane Achab, Réda Alami, Yasser Abdelaziz Dahou Djilali, Kirill Fedyanin, Eric Moulines
2023	J	`jnl`	One-Step Distributional Reinforcement Learning. Trans. Mach. Learn. Res. Mastane Achab, Réda Alami, Yasser Abdelaziz Dahou Djilali, Kirill Fedyanin, Eric Moulines
2023	—	`conf`	Regularization of the Policy Updates for Stabilizing Mean Field Games. PAKDD (2) Talal Algumaei, Ruben Solozabal, Réda Alami, Hakim Hacid, Mérouane Debbah, Martin Takác
2023	J	`jnl`	Regularization of the policy updates for stabilizing Mean Field Games. CoRR Talal Algumaei, Ruben Solozabal, Réda Alami, Hakim Hacid, Mérouane Debbah, Martin Takác
2023	—	`conf`	Restarted Bayesian Online Change-point Detection for Non-Stationary Markov Decision Processes. CoLLAs Réda Alami, Mohammed Mahfoud, Eric Moulines
2023	J	`jnl`	Restarted Bayesian Online Change-point Detection for Non-Stationary Markov Decision Processes. CoRR Réda Alami, Mohammed Mahfoud, Eric Moulines
2023	A*	`conf`	SOREO: A System for Safe and Autonomous Drones Fleet Navigation with Reinforcement Learning. AAAI Réda Alami, Hakim Hacid, Lorenzo Bellone, Michal Barcis, Enrico Natalizio
2022	C	`conf`	Bayesian Change-Point Detection for Bandit Feedback in Non-stationary Environments. ACML Réda Alami
2021	—	`—`	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
2020	A*	`conf`	Restarted Bayesian Online Change-point Detector achieves Optimal Detection Delay. ICML Réda Alami, Odalric Maillard, Raphaël Féraud
2020	J	`jnl`	pymgrid: An Open-Source Python Microgrid Simulator for Applied Artificial Intelligence Research. CoRR Gonzague Henri, Tanguy Levent, Avishai Halev, Réda Alami, Philippe Cordier
2019	A*	`conf`	Decentralized Exploration in Multi-Armed Bandits. ICML Raphaël Féraud, Réda Alami, Romain Laroche
2018	J	`jnl`	Decentralized Exploration in Multi-Armed Bandits. CoRR Raphaël Féraud, Réda Alami, Romain Laroche
2018	—	`conf`	Node-based optimization of LoRa transmissions with Multi-Armed Bandit algorithms. ICT Raouf Kerkouche, Réda Alami, Raphaël Féraud, Nadège Varsier, Patrick Maillé
2018	A	`conf`	Reinforcement Learning Techniques for Optimized Channel Hopping in IEEE 802.15.4-TSCH Networks. MSWiM Hiba Dakdouk, Erika Tarazona, Réda Alami, Raphaël Féraud, Georgios Z. Papadopoulos, Patrick Maillé
2017	—	`conf`	Supervised Feature Space Reduction for Multi-Label Nearest Neighbors. IEA/AIE (1) Wissam Siblini, Réda Alami, Frank Meyer, Pascale Kuntz
2015	J	`jnl`	Toward An Uncertainty Principle For Weighted Graphs. CoRR Bastien Pasdeloup, Réda Alami, Vincent Gripon, Michael G. Rabbat
2015	—	`conf`	Toward an uncertainty principle for weighted graphs. EUSIPCO Bastien Pasdeloup, Réda Alami, Vincent Gripon, Michael G. Rabbat