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Research interests
Engineering and Technology
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Dive into the research topics where Clément Bonet is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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DDEQs: Distributional Deep Equilibrium Models through Wasserstein Gradient Flows
Geuter, J., Bonet, C., Korba, A. & Alvarez-Melis, D., 1 Jan 2025, In: Proceedings of Machine Learning Research. 258, p. 3988-3996 9 p.Research output: Contribution to journal › Conference article › peer-review
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Flowing Datasets with Wasserstein over Wasserstein Gradient Flows
Bonet, C., Vauthier, C. & Korba, A., 1 Jan 2025, In: Proceedings of Machine Learning Research. 267, p. 4911-4967 57 p.Research output: Contribution to journal › Conference article › peer-review
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Sliced-Wasserstein Distances and Flows on Cartan-Hadamard Manifolds
Bonet, C., Drumetz, L. & Courty, N., 1 Jan 2025, In: Journal of Machine Learning Research. 26Research output: Contribution to journal › Article › peer-review
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Mirror and Preconditioned Gradient Descent in Wasserstein Space
Bonet, C., Uscidda, T., David, A., Aubin-Frankowski, P. C. & Korba, A., 1 Jan 2024, In: Advances in Neural Information Processing Systems. 37Research output: Contribution to journal › Conference article › peer-review
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Slicing Unbalanced Optimal Transport
Bonet, C., Nadjahi, K., Séjourné, T., Fatras, K. & Courty, N., 1 Jan 2024, In: Transactions on Machine Learning Research. 2024Research output: Contribution to journal › Article › peer-review
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Fast Optimal Transport through Sliced Wasserstein Generalized Geodesics
Mahey, G., Chapel, L., Gasso, G., Bonet, C. & Courty, N., 1 Jan 2023, Advances in Neural Information Processing Systems 36 - 37th Conference on Neural Information Processing Systems, NeurIPS 2023. Oh, A., Neumann, T., Globerson, A., Saenko, K., Hardt, M. & Levine, S. (eds.). Neural information processing systems foundation, (Advances in Neural Information Processing Systems; vol. 36).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Hyperbolic Sliced-Wasserstein via Geodesic and Horospherical Projections
Bonet, C., Chapel, L., Drumetz, L. & Courty, N., 1 Jan 2023, In: Proceedings of Machine Learning Research. 221, p. 334-370 37 p.Research output: Contribution to journal › Conference article › peer-review
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Sliced-Wasserstein on Symmetric Positive Definite Matrices for M/EEG Signals
Bonet, C., Malézieux, B., Rakotomamonjy, A., Drumetz, L., Moreau, T., Kowalski, M. & Courty, N., 1 Jan 2023, In: Proceedings of Machine Learning Research. 202, p. 2777-2805 29 p.Research output: Contribution to journal › Conference article › peer-review
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SPHERICAL SLICED-WASSERSTEIN
Bonet, C., Berg, P., Courty, N., Septier, F., Drumetz, L. & Pham, M. T., 1 Jan 2023.Research output: Contribution to conference › Paper › peer-review
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Efficient Gradient Flows in Sliced-Wasserstein Space
Bonet, C., Courty, N., Septier, F. & Drumetz, L., 1 Jan 2022, In: Transactions on Machine Learning Research. 2022-NovemberResearch output: Contribution to journal › Article › peer-review