Fabrice Gamboa

Orcid: 0000-0001-9779-4393

According to our database1, Fabrice Gamboa authored at least 37 papers between 1994 and 2024.

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Bibliography

2024
Fairness seen as global sensitivity analysis.
Mach. Learn., May, 2024

Spectral decomposition of H1(μ) and Poincaré inequality on a compact interval - Application to kernel quadrature.
J. Approx. Theory, 2024

CNN-based Compressor Mass Flow Estimator in Industrial Aircraft Vapor Cycle System.
CoRR, 2024

Aging modeling and lifetime prediction of a proton exchange membrane fuel cell using an extended Kalman filter.
CoRR, 2024

Large Margin Discriminative Loss for Classification.
CoRR, 2024

Sensitivity Analysis for Active Sampling, with Applications to the Simulation of Analog Circuits.
CoRR, 2024

Statistical Edge Detection And UDF Learning For Shape Representation.
CoRR, 2024

Combining Statistical Depth and Fermat Distance for Uncertainty Quantification.
CoRR, 2024

2023
Conformal inference for regression on Riemannian Manifolds.
CoRR, 2023

2021
Optimization of Quasi-convex Function over Product Measure Sets.
SIAM J. Optim., 2021

Sensitivity analysis in general metric spaces.
Reliab. Eng. Syst. Saf., 2021

Maximum Entropy on the Mean approach to solve generalized inverse problems with an application in computational thermodynamics.
RAIRO Oper. Res., 2021

Dual optimal design and the Christoffel-Darboux polynomial.
Optim. Lett., 2021

Global sensitivity analysis using derivative-based sparse Poincaré chaos expansions.
CoRR, 2021

2019
Connecting pairwise geodesic spheres by depth: DCOPS.
J. Multivar. Anal., 2019

Gaussian Process-Based Dimension Reduction for Goal-Oriented Sequential Design.
SIAM/ASA J. Uncertain. Quantification, 2019

Obtaining Fairness using Optimal Transport Theory.
Proceedings of the 36th International Conference on Machine Learning, 2019

Canonical Moments for Optimal Uncertainty Quantification on a Variety.
Proceedings of the Geometric Science of Information - 4th International Conference, 2019

2018
A Gaussian Process Regression Model for Distribution Inputs.
IEEE Trans. Inf. Theory, 2018

Sensitivity Analysis Based on Cramér-von Mises Distance.
SIAM/ASA J. Uncertain. Quantification, 2018

Entropic Variable Boosting for Explainability and Interpretability in Machine Learning.
CoRR, 2018

2017
Exact Solutions to Super Resolution on Semi-Algebraic Domains in Higher Dimensions.
IEEE Trans. Inf. Theory, 2017

Universal Prediction Distribution for Surrogate Models.
SIAM/ASA J. Uncertain. Quantification, 2017

Deep Learning applied to Road Traffic Speed forecasting.
CoRR, 2017

Approximate Optimal Designs for Multivariate Polynomial Regression.
CoRR, 2017

2015
Transient phenomena prediction using recurrent neural networks.
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.
IEEE Trans. Inf. Theory, 2014

A random-projection based test of Gaussianity for stationary processes.
Comput. Stat. Data Anal., 2014

2013
Derivative-based global sensitivity measures: General links with Sobol' indices and numerical tests.
Math. Comput. Simul., 2013

2012
Large deviations for random matricial moment problems.
J. Multivar. Anal., 2012

2011
Exact Reconstruction using Support Pursuit
CoRR, 2011

2009
Local Polynomial Estimation for Sensitivity Analysis on Models With Correlated Inputs.
Technometrics, 2009

Estimation of Translation, Rotation, and Scaling between Noisy Images Using the Fourier--Mellin Transform.
SIAM J. Imaging Sci., 2009

1999
MEM pixel correlated solutions for generalized moment and interpolation problems.
IEEE Trans. Inf. Theory, 1999

1997
Source separation when the input sources are discrete or have constant modulus.
IEEE Trans. Signal Process., 1997

1994
On two-dimensional spectral realization.
IEEE Trans. Inf. Theory, 1994

The maximum entropy method on the mean: Applications to linear programming and superresolution.
Math. Program., 1994


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