Low dimensional representation of multi-patient flow cytometry datasets using optimal transport for minimal residual disease detection in leukemia
Erell Gachon, Jérémie Bigot, Elsa Cazelles, Aguirre Mimoun, Jean-Philippe Vial
2024Joint structure-texture low dimensional modeling for image decomposition with a plug and play framework
Antoine Guennec, Jean-François Aujol, Yann Traonmilin
2024On the sequential convergence of Lloyd's algorithms
Léo Portales, Elsa Cazelles, Edouard Pauwels
2024Study of the behaviour of Nesterov Accelerated Gradient in a non convex setting: the strongly quasar convex case
J Hermant, J.-F Aujol, C Dossal, A Rondepierre
2024Discrete-to-continuous crystalline curvature flows
Antonin Chambolle, Daniele de Gennaro, Massimiliano Morini
2024Convergence of SGD for Training Neural Networks with Sliced Wasserstein Losses
Eloi Tanguy
2024Reconstructing discrete measures from projections. Consequences on the empirical Sliced Wasserstein Distance
Eloi Tanguy, Rémi Flamary, Julie Delon
2024Properties of Discrete Sliced Wasserstein Losses
Eloi Tanguy, Rémi Flamary, Julie Delon
2024Heavy Ball Momentum for Non-Strongly Convex Optimization
Jean-François Aujol, Charles Dossal, Hippolyte Labarrière, Aude Rondepierre
2024Accelerating the convergence of Newton's method for nonlinear elliptic PDEs using Fourier neural operators
Joubine Aghili, Romain Hild, Victor Michel-Dansac, Vincent Vigon, Emmanuel Franck
2024Inclusion and estimates for the jumps of minimizers in variational denoising
Antonin Chambolle, Michał Łasica
2023Robust risk management via multi-marginal optimal transport
Quentin Mérigot, Luca Nenna, Hamza Ennaji, Brendan Pass
2022