GenoGAM 2.0: scalable and efficient implementation of genome-wide generalized additive models for gigabase-scale genomes. - Georg Stricker; Mathilde Galinier; Julien Gagneur (BMC Bioinform., 2018)

Mise en abyme with Artificial Intelligence: How to Predict the Accuracy of NN, Applied to Hyper-parameter Tuning. - Giorgia Franchini; Mathilde Galinier; Micaela Verucchi (INNSBDDL, 2019)

A Hybrid Interior Point - Deep Learning Approach for Poisson Image Deblurring. - Mathilde Galinier; Marco Prato; Emilie Chouzenoux; Jean-Christophe Pesquet (MLSP, 2020)

Deep Neural Networks for Inverse Problems with Pseudodifferential Operators: An Application to Limited-Angle Tomography. - Tatiana A. Bubba; Mathilde Galinier; Matti Lassas; Marco Prato; Luca Ratti; Samuli Siltanen (SIAM J. Imaging Sci., 2021)