Capacity limits of space-division multiplexed submarine links subject to nonlinearities and power feed constraints. - Omar Darwiche Domingues; Darli A. A. Mello; Reginaldo Silva; Sercan Ömer Arik; Joseph M. Kahn (OFC, 2017)

Multifractal Analysis for Cumulant-Based Epileptic Seizure Detection in Eeg Time Series. - Omar Darwiche Domingues; Philippe Ciuciu; Daria La Rocca; Patrice Abry; Herwig Wendt (ISBI, 2019)

Planning in entropy-regularized Markov decision processes and games. - Jean-Bastien Grill; Omar Darwiche Domingues; Pierre Ménard; Rémi Munos; Michal Valko (NeurIPS, 2019)

Planning in Markov Decision Processes with Gap-Dependent Sample Complexity. - Anders Jonsson 001; Emilie Kaufmann; Pierre Ménard; Omar Darwiche Domingues; Edouard Leurent; Michal Valko (NeurIPS, 2020)

Regret Bounds for Kernel-Based Reinforcement Learning. - Omar Darwiche Domingues; Pierre Ménard; Matteo Pirotta; Emilie Kaufmann; Michal Valko (CoRR, 2020)

A Kernel-Based Approach to Non-Stationary Reinforcement Learning in Metric Spaces. - Omar Darwiche Domingues; Pierre Ménard; Matteo Pirotta; Emilie Kaufmann; Michal Valko (AISTATS, 2021)

Episodic Reinforcement Learning in Finite MDPs: Minimax Lower Bounds Revisited. - Omar Darwiche Domingues; Pierre Ménard; Emilie Kaufmann; Michal Valko (ALT, 2021)

Adaptive Reward-Free Exploration. - Emilie Kaufmann; Pierre Ménard; Omar Darwiche Domingues; Anders Jonsson 001; Edouard Leurent; Michal Valko (ALT, 2021)

Kernel-Based Reinforcement Learning: A Finite-Time Analysis. - Omar Darwiche Domingues; Pierre Ménard; Matteo Pirotta; Emilie Kaufmann; Michal Valko (ICML, 2021)

Fast active learning for pure exploration in reinforcement learning. - Pierre Ménard; Omar Darwiche Domingues; Anders Jonsson 001; Emilie Kaufmann; Edouard Leurent; Michal Valko (ICML, 2021)

UCB Momentum Q-learning: Correcting the bias without forgetting. - Pierre Ménard; Omar Darwiche Domingues; Xuedong Shang; Michal Valko (ICML, 2021)

Adaptive Multi-Goal Exploration. - Jean Tarbouriech; Omar Darwiche Domingues; Pierre Ménard; Matteo Pirotta; Michal Valko; Alessandro Lazaric (AISTATS, 2022)

Exploration in Reinforcement Learning: Beyond Finite State-Spaces. (Exploration en apprentissage par renforcement : au-delà des espaces d'états finis). - Omar Darwiche Domingues (2022)

Command A: An Enterprise-Ready Large Language Model. - Aakanksha; Arash Ahmadian; Marwan Ahmed; Jay Alammar; Milad Alizadeh; Yazeed Alnumay; Sophia Althammer; Arkady Arkhangorodsky; Viraat Aryabumi; Dennis Aumiller; Raphaël Avalos; Zahara Aviv; et al. (CoRR, 2025)

ShiQ: Bringing back Bellman to LLMs. - Pierre Clavier; Nathan Grinsztajn; Raphaël Avalos; Yannis Flet-Berliac; Irem Ergün; Omar Darwiche Domingues; Eugene Tarassov; Olivier Pietquin; Pierre H. Richemond; Florian Strub; Matthieu Geist (CoRR, 2025)

Sample, Predict, then Proceed: Self-Verification Sampling for Tool Use of LLMs. - Shangmin Guo; Omar Darwiche Domingues; Raphaël Avalos; Aaron C. Courville; Florian Strub (CoRR, 2025)