Nonlinear methods for inverse statistical problems. - Pierre Barbillon; Gilles Celeux; Agnès Grimaud; Yannick Lefebvre; Etienne de Rocquigny (Comput. Stat. Data Anal., 2011)

Maximin design on non hypercube domains and kernel interpolation. - Yves Auffray; Pierre Barbillon; Jean-Michel Marin (Stat. Comput., 2012)

Bounding rare event probabilities in computer experiments. - Yves Auffray; Pierre Barbillon; Jean-Michel Marin (Comput. Stat. Data Anal., 2014)

Bayesian Model Selection for the Validation of Computer Codes. - Guillaume Damblin; Merlin Keller; Pierre Barbillon; Alberto Pasanisi; Eric C. Parent (Qual. Reliab. Eng. Int., 2016)

Effects of competition on collective learning in advice networks. - Emmanuel Lazega; Avner Bar-Hen; Pierre Barbillon; Sophie Donnet (Soc. Networks, 2016)

Parameter estimation of complex mixed models based on meta-model approach. - Pierre Barbillon; Célia Barthélémy; Adeline Samson (Stat. Comput., 2017)

Adaptive Numerical Designs for the Calibration of Computer Codes. - Guillaume Damblin; Pierre Barbillon; Merlin Keller; Alberto Pasanisi; Eric C. Parent (SIAM/ASA J. Uncertain. Quantification, 2018)

Sensitivity analysis of spatio-temporal models describing nitrogen transfers, transformations and losses at the landscape scale. - Jordi Ferrer Savall; Damien Franqueville; Pierre Barbillon; Cyril Benhamou; Patrick Durand; Marie-Luce Taupin; Hervé Monod; Jean-Louis Drouet (Environ. Model. Softw., 2019)

Epidemiologic network inference. - Pierre Barbillon; Loïc Schwaller; Stéphane Robin; Andrew Flachs; Glenn Stone (Stat. Comput., 2020)

A stochastic block model approach for the analysis of multilevel networks: An application to the sociology of organizations. - Saint-Clair Chabert-Liddell; Pierre Barbillon; Sophie Donnet; Emmanuel Lazega (Comput. Stat. Data Anal., 2021)

Characterizing the calibration domain of remote sensing models using convex hulls. - Jean-Pierre Renaud; Ankit Sagar; Pierre Barbillon; Olivier Bouriaud; Christine Deleuze; Cédric Véga (Int. J. Appl. Earth Obs. Geoinformation, 2022)

Modelling forest volume with small area estimation of forest inventory using GEDI footprints as auxiliary information. - Shaohui Zhang; Cédric Véga; Christine Deleuze; Sylvie Durrieu; Pierre Barbillon; Olivier Bouriaud; Jean-Pierre Renaud (Int. J. Appl. Earth Obs. Geoinformation, 2022)

Learning common structures in a collection of networks. An application to food webs. - Saint-Clair Chabert-Liddell; Pierre Barbillon; Sophie Donnet (CoRR, 2022)

missSBM: An R Package for Handling Missing Values in the Stochastic Block Model. - Pierre Barbillon; Julien Chiquet; Timothée Tabouy (J. Stat. Softw., 2022)

Bipartite Graph Variational Auto-Encoder with Fair Latent Representation to Account for Sampling Bias in Ecological Networks. - Emre Anakok; Pierre Barbillon; Colin Fontaine; Elisa Thebault (CoRR, 2024)

HyperSBINN: A Hypernetwork-Enhanced Systems Biology-Informed Neural Network for Efficient Drug Cardiosafety Assessment. - Inass Soukarieh; Gerhard Hessler; Hervé Minoux; Marcel Mohr; K. Friedemann Schmidt; Jan Wenzel; Pierre Barbillon; Hugo Gangloff; Pierre Gloaguen (CoRR, 2024)

Screening the Discrepancy Function of a Computer Model. - Pierre Barbillon; Anabel Forte; Rui Paulo (Technometrics, 2024)

Interpretability of Graph Neural Networks to Assess Effects of Global Change Drivers on Ecological Networks. - Emre Anakok; Pierre Barbillon; Colin Fontaine; Elisa Thebault (CoRR, 2025)