Reinforcement learning for Energies of the future and carbon neutrality: a Challenge Design. - Gaëtan Serré; Eva Boguslawski; Benjamin Donnot; Adrien Pavão; Isabelle Guyon; Antoine Marot (CoRR, 2022)

LIPO+: Frugal Global Optimization for Lipschitz Functions. - Gaëtan Serré; Perceval Beja-Battais; Sophia Chirrane; Argyris Kalogeratos; Nicolas Vayatis (SETN, 2024)

Stein Boltzmann Sampling: A Variational Approach for Global Optimization. - Gaëtan Serré; Argyris Kalogeratos; Nicolas Vayatis (AISTATS, 2025)

Formal equivalence between global optimization consistency and random search. - Gaëtan Serré (CoRR, 2025)