Benjamin Charlier

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 24

Top Topics

Laplace Beltrami

White Matter Fiber

Riemannian Manifolds

Top Venues

GRAIL/MFCA/MICGen@MICCAI

Found. Comput. Math.

Publications

Tanguy Lefort, Antoine Affouard, Benjamin Charlier, Jean-Christophe Lombardo, Mathias Chouet, Hervé Goëau, Joseph Salmon, Pierre Bonnet, Alexis Joly
Cooperative learning of Pl@ntNet's Artificial Intelligence algorithm: how does it work and how can we improve it? CoRR (2024)
Tanguy Lefort, Benjamin Charlier, Alexis Joly, Joseph Salmon
Identify Ambiguous Tasks Combining Crowdsourced Labels by Weighting Areas Under the Margin. Trans. Mach. Learn. Res. 2024 (2024)
Thomas Moreau, Mathurin Massias, Alexandre Gramfort, Pierre Ablin, Pierre-Antoine Bannier, Benjamin Charlier, Mathieu Dagréou, Tom Dupré la Tour, Ghislain Durif, Cássio F. Dantas, Quentin Klopfenstein, Johan Larsson, En Lai, Tanguy Lefort, Benoît Malézieux, Badr Moufad, Binh T. Nguyen, Alain Rakotomamonjy, Zaccharie Ramzi, Joseph Salmon, Samuel Vaiter
Benchopt: Reproducible, efficient and collaborative optimization benchmarks. CoRR (2022)
Tanguy Lefort, Benjamin Charlier, Alexis Joly, Joseph Salmon
Improve learning combining crowdsourced labels by weighting Areas Under the Margin. CoRR (2022)
Thomas Moreau, Mathurin Massias, Alexandre Gramfort, Pierre Ablin, Pierre-Antoine Bannier, Benjamin Charlier, Mathieu Dagréou, Tom Dupré la Tour, Ghislain Durif, Cássio F. Dantas, Quentin Klopfenstein, Johan Larsson, En Lai, Tanguy Lefort, Benoît Malézieux, Badr Moufad, Binh T. Nguyen, Alain Rakotomamonjy, Zaccharie Ramzi, Joseph Salmon, Samuel Vaiter
Benchopt: Reproducible, efficient and collaborative optimization benchmarks. NeurIPS (2022)
Benjamin Charlier, Jean Feydy, Joan Alexis Glaunès, François-David Collin, Ghislain Durif
Kernel Operations on the GPU, with Autodiff, without Memory Overflows. J. Mach. Learn. Res. 22 (2021)
Leander Lacroix, Benjamin Charlier, Alain Trouvé, Barbara Gris
IMODAL: Creating Learnable User-Defined Deformation Models. CVPR (2021)
Paolo Piras, Valerio Varano, Maxime Louis, Antonio Profico, Stanley Durrleman, Benjamin Charlier, Franco Milicchio, Luciano Teresi
Transporting Deformations of Face Emotions in the Shape Spaces: A Comparison of Different Approaches. J. Math. Imaging Vis. 63 (7) (2021)
Jean Feydy, Joan Alexis Glaunès, Benjamin Charlier, Michael M. Bronstein
Fast geometric learning with symbolic matrices. NeurIPS (2020)
Benjamin Charlier, Jean Feydy, Joan Alexis Glaunès, François-David Collin, Ghislain Durif
Kernel Operations on the GPU, with Autodiff, without Memory Overflows. CoRR (2020)
Maxime Louis, Raphaël Couronné, Igor Koval, Benjamin Charlier, Stanley Durrleman
Riemannian Geometry Learning for Disease Progression Modelling. IPMI (2019)
Maxime Louis, Benjamin Charlier, Paul Jusselin, Susovan Pal, Stanley Durrleman
A Fanning Scheme for the Parallel Transport along Geodesics on Riemannian Manifolds. SIAM J. Numer. Anal. 56 (4) (2018)
Nicolas Charon, Benjamin Charlier, Alain Trouvé
Metamorphoses of Functional Shapes in Sobolev Spaces. Found. Comput. Math. 18 (6) (2018)
Maxime Louis, Benjamin Charlier, Stanley Durrleman
Geodesic Discriminant Analysis for Manifold-Valued Data. CVPR Workshops (2018)
Sieun Lee, Nicolas Charon, Benjamin Charlier, Karteek Popuri, Evgeniy Lebed, Marinko V. Sarunic, Alain Trouvé, Mirza Faisal Beg
Atlas-based shape analysis and classification of retinal optical coherence tomography images using the functional shape (fshape) framework. Medical Image Anal. 35 (2017)
Maxime Louis, Alexandre Bône, Benjamin Charlier, Stanley Durrleman
Parallel transport in shape analysis: a scalable numerical scheme. CoRR (2017)
Irene Kaltenmark, Benjamin Charlier, Nicolas Charon
A General Framework for Curve and Surface Comparison and Registration with Oriented Varifolds. CVPR (2017)
Alexandre Bône, Maxime Louis, Alexandre Routier, Jorge Samper-González, Michael Bacci, Benjamin Charlier, Olivier Colliot, Stanley Durrleman
Prediction of the progression of subcortical brain structures in Alzheimer's disease from baseline. CoRR (2017)
Maxime Louis, Alexandre Bône, Benjamin Charlier, Stanley Durrleman
Parallel Transport in Shape Analysis: A Scalable Numerical Scheme. GSI (2017)
Benjamin Charlier, Nicolas Charon, Alain Trouvé
The Fshape Framework for the Variability Analysis of Functional Shapes. Found. Comput. Math. 17 (2) (2017)
Kuldeep Kumar, Pietro Gori, Benjamin Charlier, Stanley Durrleman, Olivier Colliot, Christian Desrosiers
White Matter Fiber Segmentation Using Functional Varifolds. GRAIL/MFCA/MICGen@MICCAI (2017)
Kuldeep Kumar, Pietro Gori, Benjamin Charlier, Stanley Durrleman, Olivier Colliot, Christian Desrosiers
White Matter Fiber Segmentation Using Functional Varifolds. CoRR (2017)
Jean Feydy, Benjamin Charlier, François-Xavier Vialard, Gabriel Peyré
Optimal Transport for Diffeomorphic Registration. MICCAI (1) (2017)
Alexandre Bône, Maxime Louis, Alexandre Routier, Jorge Samper-González, Michael Bacci, Benjamin Charlier, Olivier Colliot, Stanley Durrleman
Prediction of the Progression of Subcortical Brain Structures in Alzheimer's Disease from Baseline. GRAIL/MFCA/MICGen@MICCAI (2017)
Benjamin Charlier, Nicolas Charon, Alain Trouvé
The fshape framework for the variability analysis of functional shapes. CoRR (2014)