Ségolène Martin

According to our database, Ségolène Martin authored at least 12 papers between 2021 and 2025.

Collaborative distances:

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

2025

Learning Brenier Potentials with Convex Generative Adversarial Neural Networks.

Claudia Drygala, Hanno Gottschalk, Thomas Kruse, Ségolène Martin, Annika Mütze

CoRR, April, 2025

Variable Bregman Majorization-Minimization Algorithm and its Application to Dirichlet Maximum Likelihood Estimation.

Ségolène Martin, Jean-Christophe Pesquet, Gabriele Steidl, Ismail Ben Ayed

CoRR, January, 2025

Deep Generative Clustering with VAEs and Expectation-Maximization.

Michael Adipoetra, Ségolène Martin

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2025

PnP-Flow: Plug-and-Play Image Restoration with Flow Matching.

Ségolène Tiffany Martin, Anne Gagneux, Paul Hagemann, Gabriele Steidl

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Variational methods for large-scale data problems in imaging. (Méthodes variationnelles pour les problèmes de données à grande échelle en imagerie).

Ségolène Martin

PhD thesis, 2024

A Transductive Few-Shot Learning Approach for Classification of Digital Histopathological Slides from Liver Cancer.

Aymen Sadraoui, Ségolène Martin, Eliott Barbot, Astrid Laurent-Bellue, Jean-Christophe Pesquet, Catherine Guettier, Ismail Ben Ayed

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Transductive Zero-Shot and Few-Shot CLIP.

Ségolène Martin, Yunshi Huang, Fereshteh Shakeri, Jean-Christophe Pesquet, Ismail Ben Ayed

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

A Local MM Subspace Method for Solving Constrained Variational Problems in Image Recovery.

Emilie Chouzenoux, Ségolène Martin, Jean-Christophe Pesquet

J. Math. Imaging Vis., April, 2023

2022

On a fixed-point continuation method for a convex optimization problem.

Jean-Baptiste Fest, Tommi Heikkilä, Ignace Loris, Ségolène Martin, Luca Ratti, Simone Rebegoldi, Gesa Sarnighausen

CoRR, 2022

Towards Practical Few-shot Query Sets: Transductive Minimum Description Length Inference.

Ségolène Martin, Malik Boudiaf, Emilie Chouzenoux, Jean-Christophe Pesquet, Ismail Ben Ayed

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

A Non-Convex Proximal Approach for Centroid-Based Classification.

Mewe-Hezoudah Kahanam, Laurent Le Brusquet, Ségolène Martin, Jean-Christophe Pesquet

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

A Penalized Subspace Strategy for Solving Large-Scale Constrained Optimization Problems.

Ségolène Martin, Emilie Chouzenoux, Jean-Christophe Pesquet

Proceedings of the 29th European Signal Processing Conference, 2021