Labeau, Matthieu

6 publications

ICML 2025 To Each Metric Its Decoding: Post-Hoc Optimal Decision Rules of Probabilistic Hierarchical Classifiers Roman Plaud, Alexandre Perez-Lebel, Matthieu Labeau, Antoine Saillenfest, Thomas Bonald

ICMLW 2024 A Framework for Differentiable Supervised Graph Prediction Paul Krzakala, Junjie Yang, Rémi Flamary, Florence d'Alché-Buc, Charlotte Laclau, Matthieu Labeau

NeurIPS 2024 Any2Graph: Deep End-to-End Supervised Graph Prediction with an Optimal Transport Loss Paul Krzakala, Junjie Yang, Rémi Flamary, Florence d'Alché-Buc, Charlotte Laclau, Matthieu Labeau

TMLR 2024 Exploiting Edge Features in Graph-Based Learning with Fused Network Gromov-Wasserstein Distance Junjie Yang, Matthieu Labeau, Florence d'Alché-Buc

AAAI 2023 An Adaptive Layer to Leverage Both Domain and Task Specific Information from Scarce Data Gaël Guibon, Matthieu Labeau, Luce Lefeuvre, Chloé Clavel

ICLR 2020 Compositional Languages Emerge in a Neural Iterated Learning Model Yi Ren, Shangmin Guo, Matthieu Labeau, Shay B. Cohen, Simon Kirby