Maximal Relevance and Optimal Learning Machines. - O. Duranthon; Matteo Marsili; Rongrong Xie (CoRR, 2019)

Goldilock rules, Quantum cellular automata and coarse-graining. - O. Duranthon; Giuseppe Di Molfetta (CoRR, 2020)

Neural-prior stochastic block model. - Odilon Duranthon; Lenka Zdeborová (Mach. Learn. Sci. Technol., 2023)

Asymptotic Generalization Error of a Single-Layer Graph Convolutional Network. - O. Duranthon; Lenka Zdeborová (LoG, 2024)

Optimal Inference in Contextual Stochastic Block Models. - O. Duranthon; Lenka Zdeborová (Trans. Mach. Learn. Res., 2024)

Statistical physics analysis of graph neural networks: Approaching optimality in the contextual stochastic block model. - O. Duranthon; Lenka Zdeborová (CoRR, 2025)