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
2025 Best paper conf
Assessing the Effectiveness of the Tigress Obfuscator Against MOPSA and BinaryNinja.
CheckMATE
Nicolò Altamura, Enrico Bragastini, Marco Campion, Mila Dalla Preda
2026 Best paper preprint
ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage.
arXiv
Chang Liu, Noah Fleischmann, Nicolò Altamura, Edward Raff, James Holt, Kristopher Micinski