Parallel Transport in Shape Analysis: A Scalable Numerical Scheme. - Maxime Louis; Alexandre Bône; Benjamin Charlier; Stanley Durrleman (GSI, 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 (GRAIL/MFCA/MICGen@MICCAI, 2017)

Geodesic Discriminant Analysis for Manifold-Valued Data. - Maxime Louis; Benjamin Charlier; Stanley Durrleman (CVPR Workshops, 2018)

Deformetrica 4: An Open-Source Software for Statistical Shape Analysis. - Alexandre Bône; Maxime Louis; Benoît Martin; Stanley Durrleman (ShapeMI@MICCAI, 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)

Learning Low-Dimensional Representations of Shape Data Sets with Diffeomorphic Autoencoders. - Alexandre Bône; Maxime Louis; Olivier Colliot; Stanley Durrleman (IPMI, 2019)

Riemannian Geometry Learning for Disease Progression Modelling. - Maxime Louis; Raphaël Couronné; Igor Koval; Benjamin Charlier; Stanley Durrleman (IPMI, 2019)

Computational and statistical methods for trajectory analysis in a Riemannian geometry setting. (Méthodes numériques et statistiques pour l'analyse de trajectoire dans un cadre de geométrie Riemannienne). - Maxime Louis (2019)

Leveraging 3d Information In Unsupervised Brain Mri Segmentation. - Benjamin Lambert; Maxime Louis; Senan Doyle; Florence Forbes; Michel Dojat; Alan Tucholka (ISBI, 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)

Predicting the progression of mild cognitive impairment using machine learning: A systematic, quantitative and critical review. - Manon Ansart; Stéphane Epelbaum; Giulia Bassignana; Alexandre Bône; Simona Bottani; Tiziana Cattai; Raphaël Couronné; Johann Faouzi; Igor Koval; Maxime Louis; Elina Thibeau-Sutre; Junhao Wen 002; et al. (Medical Image Anal., 2021)

End-to-end offline reinforcement learning for glycemia control. - Tristan Beolet; Alice Adenis; Erik Huneker; Maxime Louis (Artif. Intell. Medicine, 2024)

PISCO: Pretty Simple Compression for Retrieval-Augmented Generation. - Maxime Louis; Hervé Déjean; Stéphane Clinchant (ACL (Findings), 2025)

Adapting Large Language Models for Multi-Domain Retrieval-Augmented-Generation. - Alexandre Misrahi; Nadezhda Chirkova; Maxime Louis; Vassilina Nikoulina (CoRR, 2025)

OSCAR: Online Soft Compression And Reranking. - Maxime Louis; Thibault Formal; Hervé Déjean; Stéphane Clinchant (CoRR, 2025)

DiffLoRA: Differential Low-Rank Adapters for Large Language Models. - Alexandre Misrahi; Nadezhda Chirkova; Maxime Louis; Vassilina Nikoulina (CoRR, 2025)