Preprints
- Approximation and structured prediction with sparse Wasserstein barycenters, submitted in February 2022,
Minh-Hieu Do, Jean Feydy, Olga Mula, links: Paper, Code. - Sinkhorn divergences for unbalanced Optimal Transport, submitted in March 2021,
Thibault Séjourné, Jean Feydy, François-Xavier Vialard, Alain Trouvé, Gabriel Peyré, links: Paper, Code.
PhD thesis
- Geometric data analysis, beyond convolutions,
Jean Feydy, under the supervision of Alain Trouvé.
Defended on July 2, 2020 in front of Xavier Pennec, Jean-David Benamou, Marc Niethammer, Pierre Alliez and Alexandre Gramfort. I was awarded two PhD thesis awards by the AFRIF (French association for shape analysis and recognition) and the Chancellerie des Universités de Paris (édition 2021).
Links: Official version, Thesis + Latex, Slides + Latex.
Journal Papers
- Collective proposal distributions for nonlinear MCMC samplers: mean-field theory and fast implementation,
Grégoire Clarté, Antoine Diez, Jean Feydy,
Electronic Journal of Statistics, 2022, links: Paper, Code. - Kernel operations on the GPU, with autodiff, without memory overflows,
Benjamin Charlier*, Jean Feydy*, Joan Glaunès*, François-David Collin, Ghislain Durif,
Journal of Machine Learning Research, 2021, links: Abstract, Paper, Code.
Conference Papers
- Physics-informed deep neural network for rigid-body protein docking,
Freyr Sverrisson, Jean Feydy, Joshua Southern, Michael M Bronstein, Bruno Correia,
MLDD 2022 (ICLR workshop, spotlight presentation), links: Paper. - Accurate point cloud registration with robust optimal transport,
Zhengyang Shen*, Jean Feydy*, Peirong Liu, Ariel Hernán Curiale, Ruben San José Estépar, Raúl San José Estépar, Marc Niethammer,
NeurIPS 2021, links: Paper, Latex, Code. - Fast end-to-end learning on protein surfaces,
Freyr Sverrisson*, Jean Feydy*, Bruno Correia, Michael Bronstein,
CVPR 2021, links: Paper, Poster, Slides, Video, Code. - Fast geometric learning with symbolic matrices,
Jean Feydy*, Joan Glaunès*, Benjamin Charlier*, Michael Bronstein,
NeurIPS 2020 (spotlight presentation), links: Paper, Slides + Latex, Poster + Latex, Links and Videos, Website, Code. - Fast and scalable optimal transport for brain tractograms,
Jean Feydy*, Pierre Roussillon*, Alain Trouvé, Pietro Gori,
MICCAI 2019, links: Paper, Poster + PowerPoint, Website, Code. - Interpolating between optimal transport and MMD using Sinkhorn divergences,
Jean Feydy, Thibault Séjourné, François-Xavier Vialard, Shun-ichi Amari, Alain Trouvé, Gabriel Peyré,
AiStats 2019, links: Paper, Slides, Poster + Latex, Website, Code.
- Global divergences between measures: from Hausdorff distance to optimal transport,
Jean Feydy, Alain Trouvé,
ShapeMI 2018 (MICCAI workshop, oral presentation), links: Paper, Slides + Latex, Code.
- Optimal transport for diffeomorphic registration,
Jean Feydy, Benjamin Charlier, François-Xavier Vialard, Gabriel Peyré,
MICCAI 2017 (oral presentation), links: Hal, Arxiv, Code, Slides (+videos), Poster, Latex.
- Distortion minimizing geodesic subspaces in shape spaces and computational anatomy,
Benjamin Charlier, Jean Feydy, David W. Jacobs and Alain Trouvé,
VipImage 2017.
Short Medical Papers
- Artificial intelligence in diagnostic and interventional radiology: Where are we now?
Tom Boeken, Jean Feydy, Augustin Lecler, Philippe Soyer, Antoine Feydy, Maxime Barat, Loïc Duron,
Diagnostic and Interventional Imaging, 2022, links: Paper. - Artificial intelligence in musculoskeletal oncology imaging: A critical review of current applications,
Maxime Lacroix, Theodore Aouad, Jean Feydy, David Biau, Frédérique Larousserie, Laure Fournier, Antoine Feydy,
Diagnostic and Interventional Imaging, 2022, links: Paper. - Accelerating high-dimensional temporal modelling using Graphics Processing Units for pharmacovigilance signal detection on real-life data,
Pierre Sabatier, Jean Feydy, Anne-Sophie Jannot,
Challenges of Trustable AI and Added-Value on Health, 2022, links: Paper.
Maths and CS Talks
- Computational optimal transport: mature tools and open problems.
November 2022, Measure-theoretic approaches and optimal transportation in statistics, Institut Henri Poincaré: Pdf, Latex, workshop.
August 2022, Workshop on mathematical imaging and surface processing, Oberwolfach: Pdf, Latex, workshop.
July 2022, Frontiers in Design Representation, University of Maryland: Pdf, Latex, Tutorial (HTML), Summer school.
June 2022, Curves and Surfaces 2022, Arcachon: Pdf, Latex.
June 2022, University of Göttingen: Pdf, Latex. - Fast libraries for geometric data analysis.
May 2023, Healthcare AI grand round, Nvidia: Pdf, Latex.
May 2023, Workshop on geometry/physics-informed neural networks, Thales: Pdf, Latex.
February 2023, Machine Learning Coffee Seminar, Finnish Center for Artificial Intelligence: Pdf, Latex, Seminar.
July 2022, online meeting with Nvidia: Pdf, Latex.
May 2022, joint HeKA-Soda seminar, PariSanté Campus: Pdf, Latex. - Fast geometric libraries for vision and data sciences.
April 2022, DataShape seminar, Inria Saclay: Pdf, Latex.
December 2021, GRAPES software and industrial workshop, Inria Sophia: Conference, Pdf, Latex.
December 2021, AI and healthcare seminar, Centre de Recherche des Cordeliers: Pdf, Latex.
November 2021, JCJC développement, Inria Saclay: Conference, Pdf, Latex.
November 2021, Robotic Perception team, Université de Picardie Jules Verne, Amiens: Pdf, Latex.
October 2021, GdR MIA, Institut Henri Poincaré: Conference, Pdf, Latex. - Calcul géométrique rapide pour la vision et les sciences des données.
September 2021, Orasis 2021, Lac de Saint-Ferréol: Conference, Pdf, Latex. - Fast geometric learning with symbolic matrices.
January 2021, CogSys seminar, DTU Compute (Online): Pdf, Latex.
December 2020, NeurIPS 2020 (Online): Spotlight presentation + Latex, Poster + Latex, Links and Videos. - Geometric data analysis, beyond convolutions.
April 2021, Signal Processing Laboratory (LTS4, EPFL, Online): Pdf, Latex.
March 2021, Image, Visual and Language Computing Seminar (UNC Chapel Hill, Online): Pdf, Latex.
January 2021, Centre de Vision Numérique (CentraleSupélec - Inria Saclay, Online): Pdf, Latex.
October 2020, Centre de Recherche des Cordeliers (Online) - in French: Pdf, Latex, Video.
September 2020, University College London (Online) - with more applications: Pdf, Latex, Video, Workshop.
July 2020, PhD defense (Online): Pdf, Latex.
December 2019, King's College London: Pdf, Latex. - Geometric loss functions for shape analysis
July 2020, SIAM Imaging Sciences 2020 (Online): Pdf, Video, Latex. - Sorting points in dimension D > 1.
April 2021, Sea Ice Modeling and Data Assimilation (Dartmouth, Online): Pdf, Latex.
February 2020, Twitter London: Pdf, Latex. - Discrete optimal transport: scaling up to 1M samples in 1s.
June 2019, "People in optimal transportation and applications" workshop, Cortona: Pdf, Latex. - Robust matching of measures with Optimal Transport.
February 2019, GTTI, ENS Cachan: Pdf, Latex.
December 2018, BIRS center, Banff: Pdf, Latex.
November 2018, Télécom ParisTech: Pdf, Latex. - Global divergences between measures, from Hausdorff distance to Optimal Transport.
September 2018, ShapeMI workshop, MICCAI 2018 (Granada): Pdf, Latex + Code.
July 2018, Curves and Surfaces 2018 (Arcachon): Pdf, Latex + Code. - Normalizing LDDMM metrics using autodiff, an introduction to KeOps.
June 2018, SIAM Imaging Sciences 2018 (Bologna): Pdf, Latex + Code.
November 2017, Isaac Newton Institute (Cambridge): Pdf, Latex. - Optimal transport for diffeomorphic registration: a global and robust data attachment term.
September 2017, MICCAI 2017, Québec City: Pdf (+videos), Poster, Latex.
June 2017, Asclepios Inria Team: Pdf, Latex.
Radiology Talks
- Key tasks for AI in musculoskeletal imaging
June 2023, ESSR 2023: Pdf, Pptx, Latex, Conference.
- Quels logiciels pour l'apprentissage en anatomie ?
March 2023, IABM 2023, Institut Curie: Pdf, Latex, Conference.
- L'imagerie médicale, un calcul structuré.
October 2020, Institut du Cerveau (Online): Pdf, Latex, Video, Conference. - Artificial "neural networks": what radiologists should know.
(French) Mai 2020, DIU Neuro-radiologie vieillissement (en ligne): Pdf, Video;
(English) June 2019, Harvey Cushing symposium (American Hospital of Paris):
Pdf 16:9, High-res pptx, Low-res pptx, LaTex source;
(French) Mars 2019, congrès de la Société Française de Neuro-Radiologie (Paris):
Pdf 16:9, High-res pptx, Low-res pptx, LaTex source;
(French) Juin 2018, congrès de la Société Française d'Imagerie Cardiaque et Vasculaire (Beaune):
Pdf 4:3, Latex + Code.
Miscellaneous Talks
- Présentation de l'équipe HeKA
June 2023, Matinée Science à PariSanté Campus: Pdf, Pptx, Latex.
- Tools to write and publish your code
June 2023, HeKA team seminar, PariSanté Campus: Pdf, Latex.
- Du calcul haute performance à l'hôpital ?
May 2023, Séminaire Médecine et Mathématiques, Centre Borelli: Pdf, Latex.
February 2023, Demi-heure de science, Inria Paris: Pdf, Latex.
- Getting started with clusters.
January 2023, Team building seminar of the HeKA team, Rouen: Pdf, Latex.
- Retour sur le sondage auprès des utilisateurs des moyens de calcul Inria.
June 2022, CEP Inria Paris: Pdf, Latex. - Geometric data analysis for healthcare.
May 2021, application for the Inria CRCN position (Inria Paris, online): Application, Slides (in French), Video, Latex. - Automatic differentiation for applied mathematicians: presenting the PyTorch library.
February 2018, at the ENS Ulm, ENS Cachan and Jussieu (Paris VI): Pdf, Latex + Code. - Riemannian geometry for computational anatomy: presenting the LDDMM framework.
October 2017, ENS Department of Mathematics and Applications: Pdf, Full Latex.
June 2017, MoKaPlan Inria Team: Pdf (+videos), Latex.