Subspace Detours Meet Gromov-Wasserstein. - Clément Bonet; Titouan Vayer; Nicolas Courty; François Septier; Lucas Drumetz (Algorithms, 2021)

Subspace Detours Meet Gromov-Wasserstein. - Clément Bonet; Nicolas Courty; François Septier; Lucas Drumetz (CoRR, 2021)

Sliced-Wasserstein Gradient Flows. - Clément Bonet; Nicolas Courty; François Septier; Lucas Drumetz (CoRR, 2021)

Efficient Gradient Flows in Sliced-Wasserstein Space. - Clément Bonet; Nicolas Courty; François Septier; Lucas Drumetz (Trans. Mach. Learn. Res., 2022)

Spherical Sliced-Wasserstein. - Clément Bonet; Paul Berg; Nicolas Courty; François Septier; Lucas Drumetz; Minh-Tan Pham (ICLR, 2023)

Sliced-Wasserstein on Symmetric Positive Definite Matrices for M/EEG Signals. - Clément Bonet; Benoît Malézieux; Alain Rakotomamonjy; Lucas Drumetz; Thomas Moreau 001; Matthieu Kowalski; Nicolas Courty (ICML, 2023)

Fast Optimal Transport through Sliced Generalized Wasserstein Geodesics. - Guillaume Mahey; Laetitia Chapel; Gilles Gasso; Clément Bonet; Nicolas Courty (NeurIPS, 2023)

Hyperbolic Sliced-Wasserstein via Geodesic and Horospherical Projections. - Clément Bonet; Laetitia Chapel; Lucas Drumetz; Nicolas Courty (TAG-ML, 2023)

Unbalanced Optimal Transport meets Sliced-Wasserstein. - Thibault Séjourné; Clément Bonet; Kilian Fatras; Kimia Nadjahi; Nicolas Courty (CoRR, 2023)

Fast Optimal Transport through Sliced Wasserstein Generalized Geodesics. - Guillaume Mahey; Laetitia Chapel; Gilles Gasso; Clément Bonet; Nicolas Courty (CoRR, 2023)

Leveraging Optimal Transport via Projections on Subspaces for Machine Learning Applications. - Clément Bonet (CoRR, 2023)

Mirror and Preconditioned Gradient Descent in Wasserstein Space. - Clément Bonet; Théo Uscidda; Adam David; Pierre-Cyril Aubin-Frankowski; Anna Korba (NeurIPS, 2024)

Sliced-Wasserstein Distances and Flows on Cartan-Hadamard Manifolds. - Clément Bonet; Lucas Drumetz; Nicolas Courty (CoRR, 2024)

DDEQs: Distributional Deep Equilibrium Models through Wasserstein Gradient Flows. - Jonathan Geuter; Clément Bonet; Anna Korba; David Alvarez-Melis (AISTATS, 2025)

Slicing Unbalanced Optimal Transport. - Clément Bonet; Kimia Nadjahi; Thibault Séjourné; Kilian Fatras; Nicolas Courty (Trans. Mach. Learn. Res., 2025)

Flowing Datasets with Wasserstein over Wasserstein Gradient Flows. - Clément Bonet; Christophe Vauthier; Anna Korba (CoRR, 2025)