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Vincent Divol
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11
Measure estimation on a manifold explored by a diffusion process
15 October 2024 by
Vincent Divol
and
others
Statistics Theory
,
Probability
Demographic parity in regression and classification within the unawareness framework
4 September 2024 by
Vincent Divol
and
Solenne Gaucher
Machine Learning
,
Computers and Society
Wasserstein convergence of Čech persistence diagrams for samplings of submanifolds
12 July 2024 by
Charles Arnal
and
others
at
Inria
Computational Geometry
,
Probability
Understanding the Topology and the Geometry of the Space of Persistence Diagrams via Optimal Partial Transport
28 May 2024 by
Vincent Divol
and
Théo Lacombe
Computational Geometry
,
Geometric Topology
Critical points of the distance function to a generic submanifold
22 May 2024 by
Charles Arnal
and
others
Differential Geometry
,
General Topology
Tight stability bounds for entropic Brenier maps
3 April 2024 by
Vincent Divol
and
others
Probability
,
Functional Analysis
Optimal transport map estimation in general function spaces
2 January 2024 by
Vincent Divol
and
others
Statistics Theory
,
Machine Learning
Minimax estimation of discontinuous optimal transport maps: The semi-discrete case
24 May 2023 by
Aram-Alexandre Pooladian
and
others
Statistics Theory
,
Machine Learning
Measure estimation on manifolds: an optimal transport approach
11 February 2022 by
Vincent Divol
Statistics Theory
Estimation and Quantization of Expected Persistence Diagrams
11 May 2021 by
Vincent Divol
and
Théo Lacombe
Statistics Theory
,
Machine Learning
A short proof on the rate of convergence of the empirical measure for the Wasserstein distance
20 January 2021 by
Vincent Divol
Statistics Theory
Minimax adaptive estimation in manifold inference
8 June 2020 by
Vincent Divol
Statistics Theory
,
Computational Geometry
The density of expected persistence diagrams and its kernel based estimation
22 March 2019 by
Frédéric Chazal
and
Vincent Divol
Computational Geometry
On the choice of weight functions for linear representations of persistence diagrams
11 July 2018 by
Vincent Divol
and
Wolfgang Polonik
Probability
,
Computational Geometry
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Topics
Statistics Theory
Computational Geometry
Machine Learning
Probability
Geometric Topology
Differential Geometry
General Topology
Functional Analysis