Efficient Gradient Flows in Sliced-Wasserstein Space C Bonet, N Courty, F Septier, L Drumetz Transactions on Machine Learning Research, 2022 | 35* | 2022 |
Spherical Sliced-Wasserstein C Bonet, P Berg, N Courty, F Septier, L Drumetz, MT Pham The Eleventh International Conference on Learning Representations, 2023 | 33 | 2023 |
Sliced-Wasserstein on symmetric positive definite matrices for M/EEG signals C Bonet, B Malézieux, A Rakotomamonjy, L Drumetz, T Moreau, ... International Conference on Machine Learning, 2777-2805, 2023 | 19 | 2023 |
Hyperbolic sliced-wasserstein via geodesic and horospherical projections C Bonet, L Chapel, L Drumetz, N Courty Topological, Algebraic and Geometric Learning Workshops 2023, 334-370, 2023 | 9 | 2023 |
Unbalanced optimal transport meets sliced-Wasserstein T Séjourné, C Bonet, K Fatras, K Nadjahi, N Courty arXiv preprint arXiv:2306.07176, 2023 | 9 | 2023 |
Fast Optimal Transport through Sliced Generalized Wasserstein Geodesics G Mahey, L Chapel, G Gasso, C Bonet, N Courty Advances in Neural Information Processing Systems 36, 2024 | 5* | 2024 |
Subspace Detours Meet Gromov–Wasserstein C Bonet, T Vayer, N Courty, F Septier, L Drumetz Algorithms 14 (12), 366, 2021 | 5 | 2021 |
Sliced-Wasserstein Distances and Flows on Cartan-Hadamard Manifolds C Bonet, L Drumetz, N Courty arXiv preprint arXiv:2403.06560, 2024 | 2 | 2024 |
Mirror and Preconditioned Gradient Descent in Wasserstein Space C Bonet, T Uscidda, A David, PC Aubin-Frankowski, A Korba arXiv preprint arXiv:2406.08938, 2024 | 1 | 2024 |
Leveraging Optimal Transport via Projections on Subspaces for Machine Learning Applications C Bonet arXiv preprint arXiv:2311.13883, 2023 | 1 | 2023 |