Vincent Divol

13 papers A* 4Journal 9
YearRankTypeTitle / Venue / Authors
2024 J jnl
Demographic parity in regression and classification within the unawareness framework.
CoRR
Vincent Divol, Solenne Gaucher
2024 A* conf
Wasserstein convergence of Cech persistence diagrams for samplings of submanifolds.
NeurIPS
Charles Arnal, David Cohen-Steiner, Vincent Divol
2024 J jnl
Wasserstein convergence of Čech persistence diagrams for samplings of submanifolds.
CoRR
Charles Arnal, David Cohen-Steiner, Vincent Divol
2023 A* conf
Minimax estimation of discontinuous optimal transport maps: The semi-discrete case.
ICML
Aram-Alexandre Pooladian, Vincent Divol, Jonathan Niles-Weed
2021 A* conf
Estimation and Quantization of Expected Persistence Diagrams.
ICML
Vincent Divol, Théo Lacombe
2021 J jnl
Understanding the topology and the geometry of the space of persistence diagrams via optimal partial transport.
J. Appl. Comput. Topol.
Vincent Divol, Théo Lacombe
2020 J jnl
Minimax adaptive estimation in manifold inference.
CoRR
Vincent Divol
2019 J jnl
On the choice of weight functions for linear representations of persistence diagrams.
J. Appl. Comput. Topol.
Vincent Divol, Wolfgang Polonik
2019 J jnl
The density of expected persistence diagrams and its kernel based estimation.
J. Comput. Geom.
Vincent Divol, Frédéric Chazal
2019 J jnl
Understanding the Topology and the Geometry of the Persistence Diagram Space via Optimal Partial Transport.
CoRR
Vincent Divol, Théo Lacombe
2018 J jnl
On the choice of weight functions for linear representations of persistence diagrams.
CoRR
Vincent Divol, Wolfgang Polonik
2018 A* conf
The Density of Expected Persistence Diagrams and its Kernel Based Estimation.
SoCG
Frédéric Chazal, Vincent Divol
2018 J jnl
The density of expected persistence diagrams and its kernel based estimation.
CoRR
Frédéric Chazal, Vincent Divol