Benjamin Charlier

According to our database, Benjamin Charlier authored at least 17 papers between 2017 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Improve learning combining crowdsourced labels by weighting Areas Under the Margin.

Tanguy Lefort, Benjamin Charlier, Alexis Joly, Joseph Salmon

CoRR, 2022

Benchopt: Reproducible, efficient and collaborative optimization benchmarks.

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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Kernel Operations on the GPU, with Autodiff, without Memory Overflows.

Benjamin Charlier, Jean Feydy, Joan Alexis Glaunès, François-David Collin, Ghislain Durif

J. Mach. Learn. Res., 2021

Transporting Deformations of Face Emotions in the Shape Spaces: A Comparison of Different Approaches.

Paolo Piras, Valerio Varano, Maxime Louis, Antonio Profico, Stanley Durrleman, Benjamin Charlier, Franco Milicchio, Luciano Teresi

J. Math. Imaging Vis., 2021

IMODAL: Creating Learnable User-Defined Deformation Models.

Leander Lacroix, Benjamin Charlier, Alain Trouvé, Barbara Gris

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Fast geometric learning with symbolic matrices.

Jean Feydy, Joan Alexis Glaunès, Benjamin Charlier, Michael M. Bronstein

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Riemannian Geometry Learning for Disease Progression Modelling.

Maxime Louis, Raphaël Couronné, Igor Koval, Benjamin Charlier, Stanley Durrleman

Proceedings of the Information Processing in Medical Imaging, 2019

2018

A Fanning Scheme for the Parallel Transport along Geodesics on Riemannian Manifolds.

Maxime Louis, Benjamin Charlier, Paul Jusselin, Susovan Pal, Stanley Durrleman

SIAM J. Numer. Anal., 2018

Metamorphoses of Functional Shapes in Sobolev Spaces.

Nicolas Charon, Benjamin Charlier, Alain Trouvé

Found. Comput. Math., 2018

Geodesic Discriminant Analysis for Manifold-Valued Data.

Maxime Louis, Benjamin Charlier, Stanley Durrleman

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

2017

Atlas-based shape analysis and classification of retinal optical coherence tomography images using the functional shape (fshape) framework.

Sieun Lee, Nicolas Charon, Benjamin Charlier, Karteek Popuri, Evgeniy Lebed, Marinko V. Sarunic, Alain Trouvé, Mirza Faisal Beg

Medical Image Anal., 2017

The Fshape Framework for the Variability Analysis of Functional Shapes.

Benjamin Charlier, Nicolas Charon, Alain Trouvé

Found. Comput. Math., 2017

White Matter Fiber Segmentation Using Functional Varifolds.

Kuldeep Kumar, Pietro Gori, Benjamin Charlier, Stanley Durrleman, Olivier Colliot, Christian Desrosiers

Proceedings of the Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics, 2017

Optimal Transport for Diffeomorphic Registration.

Jean Feydy, Benjamin Charlier, François-Xavier Vialard, Gabriel Peyré

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Prediction of the Progression of Subcortical Brain Structures in Alzheimer's Disease from Baseline.

Alexandre Bône, Maxime Louis, Alexandre Routier, Jorge Samper-González, Michael Bacci, Benjamin Charlier, Olivier Colliot, Stanley Durrleman

Proceedings of the Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics, 2017

Parallel Transport in Shape Analysis: A Scalable Numerical Scheme.

Maxime Louis, Alexandre Bône, Benjamin Charlier, Stanley Durrleman

Proceedings of the Geometric Science of Information - Third International Conference, 2017

A General Framework for Curve and Surface Comparison and Registration with Oriented Varifolds.

Irene Kaltenmark, Benjamin Charlier, Nicolas Charon

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017