Fabrice Gamboa

According to our database, Fabrice Gamboa authored at least 37 papers between 1994 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Fairness seen as global sensitivity analysis.

Clément Benesse, Fabrice Gamboa, Jean-Michel Loubes, Thibaut Boissin

Mach. Learn., May, 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

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

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

CoRR, 2024

Large Margin Discriminative Loss for Classification.

Hai-Vy Nguyen, Fabrice Gamboa, Sixin Zhang, Reda Chhaibi, Serge Gratton, Thierry Giaccone

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

Statistical Edge Detection And UDF Learning For Shape Representation.

Virgile Foy, Fabrice Gamboa, Reda Chhaibi

CoRR, 2024

Combining Statistical Depth and Fermat Distance for Uncertainty Quantification.

Hai-Vy Nguyen, Fabrice Gamboa, Reda Chhaibi, Sixin Zhang, Serge Gratton, Thierry Giaccone

CoRR, 2024

2023

Conformal inference for regression on Riemannian Manifolds.

Alejandro Cholaquidis, Fabrice Gamboa, Leonardo Moreno

CoRR, 2023

2021

Optimization of Quasi-convex Function over Product Measure Sets.

Jérôme Stenger, Fabrice Gamboa, Merlin Keller

SIAM J. Optim., 2021

Sensitivity analysis in general metric spaces.

Fabrice Gamboa, Thierry Klein, Agnès Lagnoux, Leonardo Moreno

Reliab. Eng. Syst. Saf., 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

Dual optimal design and the Christoffel-Darboux polynomial.

Yohann de Castro, Fabrice Gamboa, Didier Henrion, Jean-Bernard Lasserre

Optim. Lett., 2021

Global sensitivity analysis using derivative-based sparse Poincaré chaos expansions.

Nora Lüthen, Olivier Roustant, Fabrice Gamboa, Bertrand Iooss, Stefano Marelli, Bruno Sudret

CoRR, 2021

2019

Connecting pairwise geodesic spheres by depth: DCOPS.

Ricardo Fraiman, Fabrice Gamboa, Leonardo Moreno

J. Multivar. Anal., 2019

Gaussian Process-Based Dimension Reduction for Goal-Oriented Sequential Design.

Malek Ben Salem, François Bachoc, Olivier Roustant, Fabrice Gamboa, Lionel Tomaso

SIAM/ASA J. Uncertain. Quantification, 2019

Obtaining Fairness using Optimal Transport Theory.

Paula Gordaliza, Eustasio del Barrio, Fabrice Gamboa, Jean-Michel Loubes

Proceedings of the 36th International Conference on Machine Learning, 2019

Canonical Moments for Optimal Uncertainty Quantification on a Variety.

Jérôme Stenger, Fabrice Gamboa, Merlin Keller, Bertrand Iooss

Proceedings of the Geometric Science of Information - 4th International Conference, 2019

2018

A Gaussian Process Regression Model for Distribution Inputs.

François Bachoc, Fabrice Gamboa, Jean-Michel Loubes, Nil Venet

IEEE Trans. Inf. Theory, 2018

Sensitivity Analysis Based on Cramér-von Mises Distance.

Fabrice Gamboa, Thierry Klein, Agnès Lagnoux

SIAM/ASA J. Uncertain. Quantification, 2018

Entropic Variable Boosting for Explainability and Interpretability in Machine Learning.

François Bachoc, Fabrice Gamboa, Jean-Michel Loubes, Laurent Risser

CoRR, 2018

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

Universal Prediction Distribution for Surrogate Models.

Malek Ben Salem, Olivier Roustant, Fabrice Gamboa, Lionel Tomaso

SIAM/ASA J. Uncertain. Quantification, 2017

Deep Learning applied to Road Traffic Speed forecasting.

Thomas Epelbaum, Fabrice Gamboa, Jean-Michel Loubes, Jessica Martin

CoRR, 2017

Approximate Optimal Designs for Multivariate Polynomial Regression.

Yohann de Castro, Fabrice Gamboa, Didier Henrion, Roxana Hess, Jean-Bernard Lasserre

CoRR, 2017

2015

Transient phenomena prediction using recurrent neural networks.

Jonathan Guerra, Patricia Klotz, Béatrice Laurent, Fabrice Gamboa

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

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

A random-projection based test of Gaussianity for stationary processes.

Alicia Nieto-Reyes, Juan Antonio Cuesta-Albertos, Fabrice Gamboa

Comput. Stat. Data Anal., 2014

2013

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

2012

Large deviations for random matricial moment problems.

Fabrice Gamboa, Jan Nagel, Alain Rouault, Jens Wagener

J. Multivar. Anal., 2012

2011

Exact Reconstruction using Support Pursuit

Yohann de Castro, Fabrice Gamboa

CoRR, 2011

2009

Local Polynomial Estimation for Sensitivity Analysis on Models With Correlated Inputs.

Sébastien Da Veiga, François Wahl, Fabrice Gamboa

Technometrics, 2009

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

1999

MEM pixel correlated solutions for generalized moment and interpolation problems.

Imre Csiszár, Fabrice Gamboa, Elisabeth Gassiat

IEEE Trans. Inf. Theory, 1999

1997

Source separation when the input sources are discrete or have constant modulus.

Fabrice Gamboa, Elisabeth Gassiat

IEEE Trans. Signal Process., 1997

1994

On two-dimensional spectral realization.

Fabrice Gamboa, Marc Lavielle

IEEE Trans. Inf. Theory, 1994

The maximum entropy method on the mean: Applications to linear programming and superresolution.

Fabrice Gamboa, Elisabeth Gassiat

Math. Program., 1994