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ORCIDFabrice Gamboa
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2020 – today
- 2024
[j22]Olivier Roustant, Nora Lüthen, Fabrice Gamboa:
Spectral decomposition of H1(μ) and Poincaré inequality on a compact interval - Application to kernel quadrature. J. Approx. Theory 301: 106041 (2024)- [j21]Clément Benesse
, Fabrice Gamboa, Jean-Michel Loubes, Thibaut Boissin:
Fairness seen as global sensitivity analysis. Mach. Learn. 113(5): 3205-3232 (2024) - [i13]Hai-Vy Nguyen, Fabrice Gamboa, Reda Chhaibi, Sixin Zhang, Serge Gratton, Thierry Giaccone:
Combining Statistical Depth and Fermat Distance for Uncertainty Quantification. CoRR abs/2404.08476 (2024) - [i12]Virgile Foy, Fabrice Gamboa, Reda Chhaibi:
Statistical Edge Detection And UDF Learning For Shape Representation. CoRR abs/2405.03381 (2024) - [i11]Reda Chhaibi, Fabrice Gamboa, Christophe Oger, Vinicius Oliveira, Clément Pellegrini, Damien Remot:
Sensitivity Analysis for Active Sampling, with Applications to the Simulation of Analog Circuits. CoRR abs/2405.07971 (2024) - [i10]Hai-Vy Nguyen, Fabrice Gamboa, Sixin Zhang, Reda Chhaibi, Serge Gratton, Thierry Giaccone:
Large Margin Discriminative Loss for Classification. CoRR abs/2405.18499 (2024) - [i9]Serigne Daouda Pene, Antoine Picot, Fabrice Gamboa, Nicolas Savy, Christophe Turpin, Amine Jaafar:
Aging modeling and lifetime prediction of a proton exchange membrane fuel cell using an extended Kalman filter. CoRR abs/2406.01259 (2024) - [i8]Justin Reverdi, Sixin Zhang, Saïd Aoues, Fabrice Gamboa, Serge Gratton, Thomas Pellegrini:
CNN-based Compressor Mass Flow Estimator in Industrial Aircraft Vapor Cycle System. CoRR abs/2406.17788 (2024) - 2023
- [i7]Alejandro Cholaquidis, Fabrice Gamboa, Leonardo Moreno:
Conformal inference for regression on Riemannian Manifolds. CoRR abs/2310.08209 (2023) - 2021
- [j20]Yohann de Castro, Fabrice Gamboa, Didier Henrion, Jean-Bernard Lasserre:
Dual optimal design and the Christoffel-Darboux polynomial. Optim. Lett. 15(1): 3-8 (2021) - [j19]Fabrice Gamboa, Christine Guéneau, Thierry Klein, Eva Lawrence:
Maximum Entropy on the Mean approach to solve generalized inverse problems with an application in computational thermodynamics. RAIRO Oper. Res. 55(2): 355-393 (2021) - [j18]Fabrice Gamboa, Thierry Klein, Agnès Lagnoux, Leonardo Moreno:
Sensitivity analysis in general metric spaces. Reliab. Eng. Syst. Saf. 212: 107611 (2021) - [j17]Jérôme Stenger, Fabrice Gamboa, Merlin Keller:
Optimization of Quasi-convex Function over Product Measure Sets. SIAM J. Optim. 31(1): 425-447 (2021) - [i6]Nora Lüthen, Olivier Roustant, Fabrice Gamboa, Bertrand Iooss, Stefano Marelli, Bruno Sudret:
Global sensitivity analysis using derivative-based sparse Poincaré chaos expansions. CoRR abs/2107.00394 (2021)
2010 – 2019
- 2019
- [j16]Malek Ben Salem, François Bachoc, Olivier Roustant, Fabrice Gamboa, Lionel Tomaso:
Gaussian Process-Based Dimension Reduction for Goal-Oriented Sequential Design. SIAM/ASA J. Uncertain. Quantification 7(4): 1369-1397 (2019) - [j15]Ricardo Fraiman, Fabrice Gamboa, Leonardo Moreno:
Connecting pairwise geodesic spheres by depth: DCOPS. J. Multivar. Anal. 169: 81-94 (2019) - [c3]Jérôme Stenger, Fabrice Gamboa, Merlin Keller, Bertrand Iooss:
Canonical Moments for Optimal Uncertainty Quantification on a Variety. GSI 2019: 571-578 - [c2]Paula Gordaliza, Eustasio del Barrio, Fabrice Gamboa, Jean-Michel Loubes:
Obtaining Fairness using Optimal Transport Theory. ICML 2019: 2357-2365 - 2018
- [j14]Fabrice Gamboa, Thierry Klein, Agnès Lagnoux:
Sensitivity Analysis Based on Cramér-von Mises Distance. SIAM/ASA J. Uncertain. Quantification 6(2): 522-548 (2018) - [j13]François Bachoc, Fabrice Gamboa, Jean-Michel Loubes, Nil Venet:
A Gaussian Process Regression Model for Distribution Inputs. IEEE Trans. Inf. Theory 64(10): 6620-6637 (2018) - [i5]François Bachoc, Fabrice Gamboa, Jean-Michel Loubes, Laurent Risser:
Entropic Variable Boosting for Explainability and Interpretability in Machine Learning. CoRR abs/1810.07924 (2018) - 2017
- [j12]Malek Ben Salem, Olivier Roustant, Fabrice Gamboa, Lionel Tomaso:
Universal Prediction Distribution for Surrogate Models. SIAM/ASA J. Uncertain. Quantification 5(1): 1086-1109 (2017) - [j11]Yohann de Castro, Fabrice Gamboa, Didier Henrion, Jean B. Lasserre:
Exact Solutions to Super Resolution on Semi-Algebraic Domains in Higher Dimensions. IEEE Trans. Inf. Theory 63(1): 621-630 (2017) - [i4]Yohann de Castro, Fabrice Gamboa, Didier Henrion, Roxana Hess, Jean-Bernard Lasserre:
Approximate Optimal Designs for Multivariate Polynomial Regression. CoRR abs/1706.04059 (2017) - [i3]Thomas Epelbaum, Fabrice Gamboa, Jean-Michel Loubes, Jessica Martin:
Deep Learning applied to Road Traffic Speed forecasting. CoRR abs/1710.08266 (2017) - 2015
- [c1]Jonathan Guerra, Patricia Klotz, Béatrice Laurent, Fabrice Gamboa:
Transient phenomena prediction using recurrent neural networks. IJCNN 2015: 1-8 - [i2]Yohann de Castro, Fabrice Gamboa, Didier Henrion, Jean B. Lasserre:
Exact solutions to Super Resolution on semi-algebraic domains in higher dimensions. CoRR abs/1502.02436 (2015) - 2014
- [j10]Alicia Nieto-Reyes, Juan Antonio Cuesta-Albertos, Fabrice Gamboa:
A random-projection based test of Gaussianity for stationary processes. Comput. Stat. Data Anal. 75: 124-141 (2014) - [j9]Mélanie Blazère, Jean-Michel Loubes, Fabrice Gamboa:
Oracle Inequalities for a Group Lasso Procedure Applied to Generalized Linear Models in High Dimension. IEEE Trans. Inf. Theory 60(4): 2303-2318 (2014) - 2013
- [j8]Matieyendou Lamboni, Bertrand Iooss, A.-L. Popelin, Fabrice Gamboa:
Derivative-based global sensitivity measures: General links with Sobol' indices and numerical tests. Math. Comput. Simul. 87: 45-54 (2013) - 2012
- [j7]Fabrice Gamboa, Jan Nagel, Alain Rouault, Jens Wagener:
Large deviations for random matricial moment problems. J. Multivar. Anal. 106: 17-35 (2012) - 2011
- [i1]Yohann de Castro, Fabrice Gamboa:
Exact Reconstruction using Support Pursuit. CoRR abs/1103.4951 (2011)
2000 – 2009
- 2009
- [j6]Jérémie Bigot, Fabrice Gamboa, Myriam Vimond:
Estimation of Translation, Rotation, and Scaling between Noisy Images Using the Fourier--Mellin Transform. SIAM J. Imaging Sci. 2(2): 614-645 (2009) - [j5]Sébastien Da Veiga, François Wahl, Fabrice Gamboa:
Local Polynomial Estimation for Sensitivity Analysis on Models With Correlated Inputs. Technometrics 51(4): 452-463 (2009)
1990 – 1999
- 1999
- [j4]Imre Csiszár, Fabrice Gamboa, Elisabeth Gassiat:
MEM pixel correlated solutions for generalized moment and interpolation problems. IEEE Trans. Inf. Theory 45(7): 2253-2270 (1999) - 1997
- [j3]Fabrice Gamboa, Elisabeth Gassiat:
Source separation when the input sources are discrete or have constant modulus. IEEE Trans. Signal Process. 45(12): 3062-3072 (1997) - 1994
- [j2]Fabrice Gamboa, Elisabeth Gassiat:
The maximum entropy method on the mean: Applications to linear programming and superresolution. Math. Program. 66: 103-122 (1994) - [j1]Fabrice Gamboa, Marc Lavielle:
On two-dimensional spectral realization. IEEE Trans. Inf. Theory 40(5): 1603-1608 (1994)
Coauthor Index
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