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2020 – today
- 2024
[i6]Charles Arnal, David Cohen-Steiner, Vincent Divol:
Wasserstein convergence of Čech persistence diagrams for samplings of submanifolds. CoRR abs/2406.14919 (2024)- [i5]Vincent Divol, Solenne Gaucher:
Demographic parity in regression and classification within the unawareness framework. CoRR abs/2409.02471 (2024) - 2023
- [c3]Aram-Alexandre Pooladian, Vincent Divol, Jonathan Niles-Weed:
Minimax estimation of discontinuous optimal transport maps: The semi-discrete case. ICML 2023: 28128-28150 - 2021
- [j3]Vincent Divol, Théo Lacombe:
Understanding the topology and the geometry of the space of persistence diagrams via optimal partial transport. J. Appl. Comput. Topol. 5(1): 1-53 (2021) - [c2]Vincent Divol, Théo Lacombe:
Estimation and Quantization of Expected Persistence Diagrams. ICML 2021: 2760-2770 - 2020
- [i4]Vincent Divol:
Minimax adaptive estimation in manifold inference. CoRR abs/2001.04896 (2020)
2010 – 2019
- 2019
- [j2]Vincent Divol, Wolfgang Polonik:
On the choice of weight functions for linear representations of persistence diagrams. J. Appl. Comput. Topol. 3(3): 249-283 (2019) - [j1]Vincent Divol, Frédéric Chazal:
The density of expected persistence diagrams and its kernel based estimation. J. Comput. Geom. 10(2): 127-153 (2019) - [i3]Vincent Divol, Théo Lacombe:
Understanding the Topology and the Geometry of the Persistence Diagram Space via Optimal Partial Transport. CoRR abs/1901.03048 (2019) - 2018
- [c1]Frédéric Chazal, Vincent Divol:
The Density of Expected Persistence Diagrams and its Kernel Based Estimation. SoCG 2018: 26:1-26:15 - [i2]Frédéric Chazal, Vincent Divol:
The density of expected persistence diagrams and its kernel based estimation. CoRR abs/1802.10457 (2018) - [i1]Vincent Divol, Wolfgang Polonik:
On the choice of weight functions for linear representations of persistence diagrams. CoRR abs/1807.03678 (2018)
Coauthor Index
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