Google scholar 

A statistical learning take on the concordance index for survival analysis (2023, AISTATS)
Alex Nowak-Vila, Kevin Elgui, Geneviève Robin

A patient-specific single equivalent dipole model (2022, Computing in Cardiology)
Gabriel Victorino Cardoso, Geneviève Robin, Andony Arrieula, Mark Potse, Michel Haïssaguerre, Eric Moulines, Rémi Dubois

(Working paper) Inference of Multiscale Gaussian Graphical Models
Do Edmond Sanou, Christophe Ambroise, Geneviève Robin

(Working paper) Generative methods for sampling transition paths in molecular dynamics
Tony Lelièvre, Geneviève Robin, Inass Sekkat, Gabriel Stoltz, Gabriel Victorino Cardoso

Profiling the response to Lumacaftor-Ivacaftor in children with Cystic Fibrosis New insights from a French-Italian cohort
Matthieu Cornet, Geneviève Robin, Fabiana Ciciriello, Tiphaine Bihouee, Christophe Marguet, Valérie Roy, Muriel Lebourgeois, Frédérique Chedevergne, Anne Sophie Bonnel, Mairead Kelly, Philippe Reix, Vincenzina Lucidi, Véronique Stoven, Isabelle Sermet Gaudelus

Federated Expectation-Maximization with heterogeneity mitigation and variance reduction (NeurIPS 2021)
Aymeric Dieuleveut, Gersende Fort, Éric Moulines, Geneviève Robin

Outliers detection in networks with missing links (2021, Computational Statistics and Data Analysis)
Solenne Gaucher, Olga Klopp, Geneviève Robin

Imputation of incomplete large-scale monitoring count data via penalized estimation (2021, Methods in Ecology and Evolution)
Mohamed Dakki, Geneviève Robin, Marie Suet, Abdeljebbar Qninba, Asmâa Ouassou, Rhimou El Hamoumi, Hichem Azafzaf, Sami Rebah, Claudia Feltrup-Azafzaf, Naoufel Hamouda, Wed A.L. Ibrahim, Hosni H. Asran, Amr A. Elhady, Khaled Etayeb, Essam Bouras, Almolkhtar Saied, Ashrof Glidan,Bakar M. Habib, Mohamed S. Sayoud, Nadjiba Bendjedda, Laura Dami, Clémence Deschamps, Elie Gaget, Jean-Yves Mondain-Monval, Pierre Defos du Rau
[read-only][journal page]

Low-rank model with covariates for count data with missing values (2019, Journal of Multivariate Analysis)
Geneviève Robin, Julie Josse, Éric Moulines and Sylvain Sardy

Main effects and interactions in mixed and incomplete data frames  (2019, Journal of American Statistical Association)   
Geneviève Robin, Olga Klopp, Julie Josse, Éric Moulines and  Robert Tibshirani
[arxiv] [citation]

Imputation of mixed data with multilevel Singular Value Decomposition (2019, Journal of Computational and Graphical Statistics)
François Husson, Julie Josse, Balasubramanian Narasimhan and Geneviève Robin
[arxiv] [journal]

Low-rank interactions and sparse additive effects model for large data frames (NeurIPS 2018)
Geneviève Robin, Hoi To Wai, Julie Josse, Olga Klopp and Éric Moulines [pdf] [citation]

Incomplete graphical model inference via latent tree aggregation (2018, Statistical Modelling)
Geneviève Robin, Christophe Ambroise and Stéphane Robin
[arxiv] [journal]

PhD and Master thesis

Low-rank methods for multi-source, heterogeneous and incomplete data (PhD dissertation)
[web] [pdf] [slides of the defense]

 Inference of sparse Graphical Models with unobserved variables (2016, MSc thesis)