Sampling Markov Models under Constraints: Complexity Results for Binary Equalities and Grammar Membership. - Stéphane Rivaud; François Pachet (CoRR, 2017)

Intégration de Savoir Expert dans les Modèles Génératifs : Application à la Génération Musicale. (Integrating Expert Knowledge in Generative Models: Application to Music Generation). - Stéphane Rivaud (2020)

Can Forward Gradient Match Backpropagation? - Louis Fournier; Stéphane Rivaud; Eugene Belilovsky; Michael Eickenberg; Edouard Oyallon (ICML, 2023)

PETRA: Parallel End-to-end Training with Reversible Architectures. - Stéphane Rivaud; Louis Fournier; Thomas Pumir; Eugene Belilovsky; Michael Eickenberg; Edouard Oyallon (ICLR, 2025)

Growth strategies for arbitrary DAG neural architectures. - Stella Douka; Manon Verbockhaven; Théo Rudkiewicz; Stéphane Rivaud; François P. Landes; Sylvain Chevallier; Guillaume Charpiat (CoRR, 2025)