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Dive into the research topics where Vincent Divol is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Measure estimation on a manifold explored by a diffusion process
Divol, V., Guérin, H., Nguyen, D. T. & Tran, V. C., 1 Jan 2025, (Accepted/In press) In: Probability Theory and Related Fields.Research output: Contribution to journal › Article › peer-review
Open Access -
OPTIMAL TRANSPORT MAP ESTIMATION IN GENERAL FUNCTION SPACES
Divol, V., Niles-Weed, J. & Pooladian, A. A., 1 Jun 2025, In: Annals of Statistics. 53, 3, p. 963-988 26 p.Research output: Contribution to journal › Article › peer-review
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Tight Stability Bounds for Entropic Brenier Maps
Divol, V., Niles-Weed, J. & Pooladian, A. A., 1 Apr 2025, In: International Mathematics Research Notices. 2025, 7, rnaf078.Research output: Contribution to journal › Article › peer-review
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Wasserstein convergence of Čech persistence diagrams for samplings of submanifolds
Arnal, C., Cohen-Steiner, D. & Divol, V., 1 Jan 2024, In: Advances in Neural Information Processing Systems. 37Research output: Contribution to journal › Conference article › peer-review
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Minimax estimation of discontinuous optimal transport maps: The semi-discrete case
Pooladian, A. A., Divol, V. & Niles-Weed, J., 1 Jan 2023, In: Proceedings of Machine Learning Research. 202, p. 28128-28150 23 p.Research output: Contribution to journal › Conference article › peer-review
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Measure estimation on manifolds: an optimal transport approach
Divol, V., 1 Jun 2022, In: Probability Theory and Related Fields. 183, 1-2, p. 581-647 67 p.Research output: Contribution to journal › Article › peer-review
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Estimation and Quantization of Expected Persistence Diagrams
Divol, V. & Lacombe, T., 1 Jan 2021, Proceedings of the 38th International Conference on Machine Learning, ICML 2021. ML Research Press, p. 2760-2770 11 p. (Proceedings of Machine Learning Research; vol. 139).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Minimax adaptive estimation in manifold inference
Divol, V., 1 Jan 2021, In: Electronic Journal of Statistics. 15, 2, p. 5888-5932 45 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Understanding the topology and the geometry of the space of persistence diagrams via optimal partial transport
Divol, V. & Lacombe, T., 1 Mar 2021, In: Journal of Applied and Computational Topology. 5, 1Research output: Contribution to journal › Article › peer-review
Open Access -
On the choice of weight functions for linear representations of persistence diagrams
Divol, V. & Polonik, W., 9 Sept 2019, In: Journal of Applied and Computational Topology. 3, 3, p. 249-283 35 p.Research output: Contribution to journal › Article › peer-review
Open Access