Velocity Extension for the Level-set Method and Multiple Eigenvalues in Shape Optimization. - Frédéric de Gournay (SIAM J. Control. Optim., 2006)

Imaging by Modification: Numerical Reconstruction of Local Conductivities from Corresponding Power Density Measurements. - Y. Yvespdeboscq; Jérôme Fehrenbach; Frédéric de Gournay; Otared Kavian (SIAM J. Imaging Sci., 2009)

Microwave Imaging by Elastic Deformation. - Habib Ammari; Yves Capdeboscq; Frédéric de Gournay; Anna Rozanova-Pierrat; Faouzi Triki (SIAM J. Appl. Math., 2011)

The Generalized Graetz Problem in Finite Domains. - Jérôme Fehrenbach; Frédéric de Gournay; Charles Pierre; Franck Plouraboué (SIAM J. Appl. Math., 2012)

Numerical computation of 3D heat transfer in complex parallel heat exchangers using generalized Graetz modes. - Charles Pierre; Julien Bouyssier; Frédéric de Gournay; Franck Plouraboué (J. Comput. Phys., 2014)

Convex Regularization and Representer Theorems. - Claire Boyer; Antonin Chambolle; Yohann de Castro; Vincent Duval; Frédéric de Gournay; Pierre Weiss (CoRR, 2018)

The Case of Neumann, Robin, and Periodic Lateral Conditions for the Semi-infinite Generalized Graetz Problem and Applications. - Valentin Debarnot; Jérôme Fehrenbach; Frédéric de Gournay; Léo Martire (SIAM J. Appl. Math., 2018)

Approximation of curves with piecewise constant or piecewise linear functions. - Frédéric de Gournay; Jonas Kahn; Léo Lebrat (CoRR, 2019)

Differentiation and regularity of semi-discrete optimal transport with respect to the parameters of the discrete measure. - Frédéric de Gournay; Jonas Kahn; Léo Lebrat (Numerische Mathematik, 2019)

Optimal Transport Approximation of 2-Dimensional Measures. - Léo Lebrat; Frédéric de Gournay; Jonas Kahn; Pierre Weiss (SIAM J. Imaging Sci., 2019)

On Representer Theorems and Convex Regularization. - Claire Boyer; Antonin Chambolle; Yohann de Castro; Vincent Duval; Frédéric de Gournay; Pierre Weiss (SIAM J. Optim., 2019)

Off-the-grid data-driven optimization of sampling schemes in MRI. - Alban Gossard; Frédéric de Gournay; Pierre Weiss (CoRR, 2020)

3/4-Discrete Optimal Transport. - Léo Lebrat; Frédéric de Gournay; Jonas Kahn (SIAM J. Sci. Comput., 2020)

CorticalFlow: A Diffeomorphic Mesh Transformer Network for Cortical Surface Reconstruction. - Léo Lebrat; Rodrigo Santa Cruz; Frédéric de Gournay; Darren Fu; Pierrick Bourgeat; Jurgen Fripp; Clinton Fookes; Olivier Salvado (NeurIPS, 2021)

On the linear convergence rates of exchange and continuous methods for total variation minimization. - Axel Flinth; Frédéric de Gournay; Pierre Weiss (Math. Program., 2021)

CorticalFlow: A Diffeomorphic Mesh Deformation Module for Cortical Surface Reconstruction. - Léo Lebrat; Rodrigo Santa Cruz; Frédéric de Gournay; Darren Fu; Pierrick Bourgeat; Jurgen Fripp; Clinton Fookes; Olivier Salvado (CoRR, 2022)

Adaptive scaling of the learning rate by second order automatic differentiation. - Frédéric de Gournay; Alban Gossard (CoRR, 2022)

Grid is Good. Adaptive Refinement Algorithms for Off-the-Grid Total Variation Minimization. - Axel Flinth; Frédéric de Gournay; Pierre Weiss (Open J. Math. Optim., 2025)