The maximum entropy method on the mean: Applications to linear programming and superresolution. - Fabrice Gamboa; Elisabeth Gassiat (Math. Program., 1994)

On two-dimensional spectral realization. - Fabrice Gamboa; Marc Lavielle (IEEE Trans. Inf. Theory, 1994)

Source separation when the input sources are discrete or have constant modulus. - Fabrice Gamboa; Elisabeth Gassiat (IEEE Trans. Signal Process., 1997)

MEM pixel correlated solutions for generalized moment and interpolation problems. - Imre Csiszár; Fabrice Gamboa; Elisabeth Gassiat (IEEE Trans. Inf. Theory, 1999)

Estimation of Translation, Rotation, and Scaling between Noisy Images Using the Fourier–Mellin Transform. - Jérémie Bigot; Fabrice Gamboa; Myriam Vimond (SIAM J. Imaging Sci., 2009)

Local Polynomial Estimation for Sensitivity Analysis on Models With Correlated Inputs. - Sébastien Da Veiga; François Wahl; Fabrice Gamboa (Technometrics, 2009)

Exact Reconstruction using Support Pursuit - Yohann de Castro; Fabrice Gamboa (CoRR, 2011)

Large deviations for random matricial moment problems. - Fabrice Gamboa; Jan Nagel; Alain Rouault; Jens Wagener (J. Multivar. Anal., 2012)

Derivative-based global sensitivity measures: General links with Sobol' indices and numerical tests. - Matieyendou Lamboni; Bertrand Iooss; A.-L. Popelin; Fabrice Gamboa (Math. Comput. Simul., 2013)

A random-projection based test of Gaussianity for stationary processes. - Alicia Nieto-Reyes; Juan Antonio Cuesta-Albertos; Fabrice Gamboa (Comput. Stat. Data Anal., 2014)

Oracle Inequalities for a Group Lasso Procedure Applied to Generalized Linear Models in High Dimension. - Mélanie Blazère; Jean-Michel Loubes; Fabrice Gamboa (IEEE Trans. Inf. Theory, 2014)

Transient phenomena prediction using recurrent neural networks. - Jonathan Guerra; Patricia Klotz; Béatrice Laurent; Fabrice Gamboa (IJCNN, 2015)

Approximate Optimal Designs for Multivariate Polynomial Regression. - Yohann de Castro; Fabrice Gamboa; Didier Henrion; Roxana Hess; Jean-Bernard Lasserre (CoRR, 2017)

Deep Learning applied to Road Traffic Speed forecasting. - Thomas Epelbaum; Fabrice Gamboa; Jean-Michel Loubes; Jessica Martin (CoRR, 2017)

Universal Prediction Distribution for Surrogate Models. - Malek Ben Salem 002; Olivier Roustant; Fabrice Gamboa; Lionel Tomaso (SIAM/ASA J. Uncertain. Quantification, 2017)

Exact Solutions to Super Resolution on Semi-Algebraic Domains in Higher Dimensions. - Yohann de Castro; Fabrice Gamboa; Didier Henrion; Jean B. Lasserre (IEEE Trans. Inf. Theory, 2017)

Entropic Variable Boosting for Explainability and Interpretability in Machine Learning. - François Bachoc; Fabrice Gamboa; Jean-Michel Loubes; Laurent Risser (CoRR, 2018)

Sensitivity Analysis Based on Cramér-von Mises Distance. - Fabrice Gamboa; Thierry Klein; Agnès Lagnoux (SIAM/ASA J. Uncertain. Quantification, 2018)

A Gaussian Process Regression Model for Distribution Inputs. - François Bachoc; Fabrice Gamboa; Jean-Michel Loubes; Nil Venet (IEEE Trans. Inf. Theory, 2018)

Canonical Moments for Optimal Uncertainty Quantification on a Variety. - Jérôme Stenger; Fabrice Gamboa; Merlin Keller; Bertrand Iooss (GSI, 2019)

Obtaining Fairness using Optimal Transport Theory. - Paula Gordaliza; Eustasio del Barrio; Fabrice Gamboa; Jean-Michel Loubes (ICML, 2019)

Gaussian Process-Based Dimension Reduction for Goal-Oriented Sequential Design. - Malek Ben Salem 002; François Bachoc; Olivier Roustant; Fabrice Gamboa; Lionel Tomaso (SIAM/ASA J. Uncertain. Quantification, 2019)

Connecting pairwise geodesic spheres by depth: DCOPS. - Ricardo Fraiman; Fabrice Gamboa; Leonardo Moreno (J. Multivar. Anal., 2019)

Global sensitivity analysis using derivative-based sparse Poincaré chaos expansions. - Nora Lüthen; Olivier Roustant; Fabrice Gamboa; Bertrand Iooss; Stefano Marelli; Bruno Sudret (CoRR, 2021)

Dual optimal design and the Christoffel-Darboux polynomial. - Yohann de Castro; Fabrice Gamboa; Didier Henrion; Jean-Bernard Lasserre (Optim. Lett., 2021)

Maximum Entropy on the Mean approach to solve generalized inverse problems with an application in computational thermodynamics. - Fabrice Gamboa; Christine Guéneau; Thierry Klein; Eva Lawrence (RAIRO Oper. Res., 2021)

Sensitivity analysis in general metric spaces. - Fabrice Gamboa; Thierry Klein; Agnès Lagnoux; Leonardo Moreno (Reliab. Eng. Syst. Saf., 2021)

Optimization of Quasi-convex Function over Product Measure Sets. - Jérôme Stenger; Fabrice Gamboa; Merlin Keller (SIAM J. Optim., 2021)

Conformal inference for regression on Riemannian Manifolds. - Alejandro Cholaquidis; Fabrice Gamboa; Leonardo Moreno (CoRR, 2023)

Combining Statistical Depth and Fermat Distance for Uncertainty Quantification. - Hai-Vy Nguyen; Fabrice Gamboa; Reda Chhaibi; Sixin Zhang; Serge Gratton; Thierry Giaccone (NeurIPS, 2024)

Statistical Edge Detection And UDF Learning For Shape Representation. - Virgile Foy; Fabrice Gamboa; Reda Chhaibi (CoRR, 2024)

Sensitivity Analysis for Active Sampling, with Applications to the Simulation of Analog Circuits. - Reda Chhaibi; Fabrice Gamboa; Christophe Oger; Vinicius Oliveira; Clément Pellegrini; Damien Remot (CoRR, 2024)

Large Margin Discriminative Loss for Classification. - Hai-Vy Nguyen; Fabrice Gamboa; Sixin Zhang; Reda Chhaibi; Serge Gratton; Thierry Giaccone (CoRR, 2024)

CNN-based Compressor Mass Flow Estimator in Industrial Aircraft Vapor Cycle System. - Justin Reverdi; Sixin Zhang; Saïd Aoues; Fabrice Gamboa; Serge Gratton; Thomas Pellegrini (CoRR, 2024)

Spectral decomposition of H1(μ) and Poincaré inequality on a compact interval - Application to kernel quadrature. - Olivier Roustant; Nora Lüthen; Fabrice Gamboa (J. Approx. Theory, 2024)

Fairness seen as global sensitivity analysis. - Clément Benesse; Fabrice Gamboa; Jean-Michel Loubes; Thibaut Boissin (Mach. Learn., 2024)

Hoeffding decomposition of functions of random dependent variables. - Marouane Il Idrissi; Nicolas Bousquet 002; Fabrice Gamboa; Bertrand Iooss; Jean-Michel Loubes (J. Multivar. Anal., 2025)

Aging modeling and lifetime prediction of a proton exchange membrane fuel cell using an extended Kalman filter. - Serigne Daouda Pene; Antoine Picot; Fabrice Gamboa; Nicolas Savy; Christophe Turpin; Amine Jaafar (Math. Comput. Simul., 2025)

Convolutional Rectangular Attention Module. - Hai-Vy Nguyen; Fabrice Gamboa; Sixin Zhang; Reda Chhaibi; Serge Gratton; Thierry Giaccone (CoRR, 2025)

Feature Representation Transferring to Lightweight Models via Perception Coherence. - Hai-Vy Nguyen; Fabrice Gamboa; Sixin Zhang; Reda Chhaibi; Serge Gratton; Thierry Giaccone (CoRR, 2025)