Ségolène Martin

18 papers A* 2Misc 1Journal 11Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Training Flow Matching: The Role of Weighting and Parameterization.
CoRR
Anne Gagneux, Ségolène Martin, Rémi Gribonval, Mathurin Massias
2025 — conf
Deep Generative Clustering with VAEs and Expectation-Maximization.
SSVM (1)
Michael Adipoetra, Ségolène Martin
2025 J jnl
Deep Generative Clustering with VAEs and Expectation-Maximization.
CoRR
Michael Adipoetra, Ségolène Martin
2025 J jnl
Learning Brenier Potentials with Convex Generative Adversarial Neural Networks.
CoRR
Claudia Drygala, Hanno Gottschalk, Thomas Kruse, Ségolène Martin, Annika Mütze
2025 J jnl
The Generation Phases of Flow Matching: a Denoising Perspective.
CoRR
Anne Gagneux, Ségolène Martin, Rémi Gribonval, Mathurin Massias
2025 J jnl
Variable Bregman Majorization-Minimization Algorithm and its Application to Dirichlet Maximum Likelihood Estimation.
CoRR
Ségolène Martin, Jean-Christophe Pesquet, Gabriele Steidl, Ismail Ben Ayed
2024 — conf
A Transductive Few-Shot Learning Approach for Classification of Digital Histopathological Slides from Liver Cancer.
ISBI
Aymen Sadraoui, Ségolène Martin, Eliott Barbot, Astrid Laurent-Bellue, Jean-Christophe Pesquet, Catherine Guettier, Ismail Ben Ayed
2024 J jnl
PnP-Flow: Plug-and-Play Image Restoration with Flow Matching.
CoRR
Ségolène Martin, Anne Gagneux, Paul Hagemann, Gabriele Steidl
2024 A* conf
Transductive Zero-Shot and Few-Shot CLIP.
CVPR
Ségolène Martin, Yunshi Huang, Fereshteh Shakeri, Jean-Christophe Pesquet, Ismail Ben Ayed
2024 J jnl
Transductive Zero-Shot and Few-Shot CLIP.
CoRR
Ségolène Martin, Yunshi Huang, Fereshteh Shakeri, Jean-Christophe Pesquet, Ismail Ben Ayed
2024 — —
Variational methods for large-scale data problems in imaging. (Méthodes variationnelles pour les problèmes de données à grande échelle en imagerie).
Ségolène Martin
2023 J jnl
A Local MM Subspace Method for Solving Constrained Variational Problems in Image Recovery.
J. Math. Imaging Vis.
Emilie Chouzenoux, Ségolène Martin, Jean-Christophe Pesquet
2023 J jnl
A transductive few-shot learning approach for classification of digital histopathological slides from liver cancer.
CoRR
Aymen Sadraoui, Ségolène Martin, Eliott Barbot, Astrid Laurent-Bellue, Jean-Christophe Pesquet, Catherine Guettier, Ismail Ben Ayed
2022 Misc conf
A Non-Convex Proximal Approach for Centroid-Based Classification.
ICASSP
Mewe-Hezoudah Kahanam, Laurent Le Brusquet, Ségolène Martin, Jean-Christophe Pesquet
2022 J jnl
On a fixed-point continuation method for a convex optimization problem.
CoRR
Jean-Baptiste Fest, Tommi Heikkilä, Ignace Loris, Ségolène Martin, Luca Ratti, Simone Rebegoldi, Gesa Sarnighausen
2022 J jnl
Towards Practical Few-Shot Query Sets: Transductive Minimum Description Length Inference.
CoRR
Ségolène Martin, Malik Boudiaf, Emilie Chouzenoux, Jean-Christophe Pesquet, Ismail Ben Ayed
2022 A* conf
Towards Practical Few-shot Query Sets: Transductive Minimum Description Length Inference.
NeurIPS
Ségolène Martin, Malik Boudiaf, Emilie Chouzenoux, Jean-Christophe Pesquet, Ismail Ben Ayed
2021 — conf
A Penalized Subspace Strategy for Solving Large-Scale Constrained Optimization Problems.
EUSIPCO
Ségolène Martin, Emilie Chouzenoux, Jean-Christophe Pesquet