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A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
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Posts
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portfolio
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publications
Incomplete graphical model inference via latent tree aggregation
Statistical Modelling</i>, 2018
Geneviève Robin, Christophe Ambroise, Stéphane Robin
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Low-rank Interaction with Sparse Additive Effects Model for Large Data Frames
Advances in Neural Information Processing Systems 32. NeurIPS 2018</i>, 2018
Geneviève Robin, Hoi-To Wai, Julie Josse, Olga Klopp, Éric Moulines.
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Imputation of mixed data with multilevel singular value decomposition
Journal of Computational and Graphical Statistics</i>, 2019
François Husson, Julie Josse, Balasubramanian Narasimhan, Geneviève Robin
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Main effects and interactions in mixed and incomplete data frames
Journal of American Statistical Association</i>, 2019
Geneviève Robin, Olga Klopp, Julie Josse, Éric Moulines, Robert Tibshirani
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Low-rank model with covariates for count data with missing values
Journal of Multivariate Analysis</i>, 2019
Geneviève Robin, Julie Josse, Éric Moulines, Sylvain Sardy
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Imputation of incomplete large- scale monitoring count data via penalized estimation
Methods in Ecology and Evolution</i>, 2021
Dakki M, Robin G, Suet M, et al.
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Outliers Detection in Networks with Missing Links
Computational Statistics & Data Analysis</i>, 2021
Solenne Gaucher, Olga Klopp, Geneviève Robin
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Federated Expectation Maximization with heterogeneity mitigation and variance reduction
Advances in Neural Information Processing Systems 34. NeurIPS 2021</i>, 2021
Aymeric Dieuleveut, Gersende Fort, Eric Moulines, and Geneviève Robin.
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Profiling the response to lumacaftor‐ivacaftor in children with cystic between fibrosis and new insight from a French‐Italian real‐life cohort
Pediatric Pulmonology</i>, 2022
Cornet M, Robin G, Ciciriello F, Bihouee T, Marguet C, Roy V, Lebourgeois M, Chedevergne F, Bonnel AS, Kelly M, Reix P, Lucidi V, Stoven V, Sermet-Gaudelus I.
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A Patient-Specific Single Equivalent Dipole Model
2022 Computing in Cardiology (CinC)</i>, 2023
Gabriel Cardoso, Geneviève Robin, Andony Arrieula, Mark Potse, Michel Haïssaguerre, Eric Moulines, Rémi Dubois
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A Statistical Learning Take on the Concordance Index for Survival Analysis
AISTATS</i>, 2023
Kevin Elgui, Alex Nowak and Geneviève Robin.
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Inference of Multiscale Gaussian Graphical Models
COMPUTO</i>, 2023
Edmond Sanou, Christophe Ambroise, Geneviève Robin
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Generative methods for sampling transition paths in molecular dynamics
CEMRACS 2021</i>, 2023
Tony Lelièvre, Geneviève Robin, Innas Sekkat, Gabriel Stoltz and Gabriel Victorino Cardoso'
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Optimizing the diffusion coefficient of overdamped Langevin dynamics
Mathematics of Computation</i>, 2025
T. Lelièvre, G. A. Pavliotis, G. Robin, R. Santet, G. Stoltz
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Distilling foundation models for robust and efficient models in digital pathology
MICCAI</i>, 2025
Alexandre Filiot, Nicolas Dop, Oussama Tchita, Auriane Riou, Rémy Dubois, Thomas Peeters, Daria Valter, Marin Scalbert, Charlie Saillard, Geneviève Robin, Antoine Olivier.
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Robust sensitivity control in digital pathology via tile score distribution matching
MICCAI</i>, 2025
Arthur Pignet, John Klein, Geneviève Robin, and Antoine Olivier
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Multiple instance learning with spatial transcriptomics for interpretable patient-level predictions: application in glioblastoma
bioRxiv</i>, 2025
Simon Grouard, Christian Esposito, Jean El Khoury, Valérie Ducret, Céline Thiriez, Loïc Herpin, Anaïs Chossegros, Caroline Hoffmann, Quentin Bayard, Geneviève Robin, Nicole Tay, Esther Baena, MOSAIC Consortium, Eric Durand, Almudena Espin Perez, Lucas Fidon
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talks
teaching
Deep Learning
Graduate course, Université Paris Cité, M2, 2025
Introduction to Deep Learning for M2 students of the Applied Maths and Computer Science department.
Statistics
Workshop, École Nationale des Ponts et Chaussées (ENPC), 2025
Foundations of Statistical Inference for M1 engineering students.