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Vincent Divol
Vincent Divol
PSL - Université Paris Dauphine
Verified email at psl.eu - Homepage
Title
Cited by
Cited by
Year
Understanding the topology and the geometry of the space of persistence diagrams via optimal partial transport
V Divol, T Lacombe
Journal of Applied and Computational Topology, 1-53, 2020
73*2020
The density of expected persistence diagrams and its kernel based estimation
V Divol, F Chazal
Journal of Computational Geometry 10 (2), 127–153-127–153, 2019
62*2019
On the choice of weight functions for linear representations of persistence diagrams
V Divol, W Polonik
Journal of Applied and Computational Topology, 2019
382019
Minimax estimation of discontinuous optimal transport maps: The semi-discrete case
AA Pooladian, V Divol, J Niles-Weed
International Conference on Machine Learning, 28128-28150, 2023
242023
Measure estimation on manifolds: an optimal transport approach
V Divol
24*
Minimax adaptive estimation in manifold inference
V Divol
Electronic Journal of Statistics 15 (2), 5888-5932, 2021
212021
Optimal transport map estimation in general function spaces
V Divol, J Niles-Weed, AA Pooladian
arXiv preprint arXiv:2212.03722, 2022
182022
Estimation and Quantization of Expected Persistence Diagrams
V Divol, T Lacombe
International Conference on Machine Learning, 2021
102021
A short proof on the rate of convergence of the empirical measure for the Wasserstein distance
V Divol
arXiv preprint arXiv:2101.08126, 2021
82021
Tight stability bounds for entropic Brenier maps
V Divol, J Niles-Weed, AA Pooladian
arXiv preprint arXiv:2404.02855, 2024
32024
Critical points of the distance function to a generic submanifold
C Arnal, D Cohen-Steiner, V Divol
arXiv preprint arXiv:2312.13147, 2023
32023
Wasserstein convergence of Čech persistence diagrams for samplings of submanifolds
C Arnal, D Cohen-Steiner, V Divol
12024
Demographic parity in regression and classification within the unawareness framework
V Divol, S Gaucher
arXiv preprint arXiv:2409.02471, 2024
2024
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Articles 1–13