Sébastien Da Veiga

According to our database, Sébastien Da Veiga authored at least 18 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Learning signals defined on graphs with optimal transport and Gaussian process regression.

Raphaël Carpintero Perez, Sébastien Da Veiga, Josselin Garnier, Brian Staber

CoRR, 2024

Gaussian process regression with Sliced Wasserstein Weisfeiler-Lehman graph kernels.

Raphaël Carpintero Perez, Sébastien Da Veiga, Josselin Garnier, Brian Staber

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Kernel Stein Discrepancy thinning: a theoretical perspective of pathologies and a practical fix with regularization.

Clément Bénard, Brian Staber, Sébastien Da Veiga

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Quantitative performance evaluation of Bayesian neural networks.

Brian Staber, Sébastien Da Veiga

CoRR, 2022

SHAFF: Fast and consistent SHApley eFfect estimates via random Forests.

Clément Bénard, Gérard Biau, Sébastien Da Veiga, Erwan Scornet

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

MDA for random forests: inconsistency, and a practical solution via the Sobol-MDA.

Clément Bénard, Sébastien Da Veiga, Erwan Scornet

CoRR, 2021

Interpretable Random Forests via Rule Extraction.

Clément Bénard, Gérard Biau, Sébastien Da Veiga, Erwan Scornet

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Gaussian process regression with linear inequality constraints.

Sébastien Da Veiga, Amandine Marrel

Reliab. Eng. Syst. Saf., 2020

2019

Global Sensitivity Analysis for Optimization with Variable Selection.

Adrien Spagnol, Rodolphe Le Riche, Sébastien Da Veiga

SIAM/ASA J. Uncertain. Quantification, 2019

SIRUS: making random forests interpretable.

Clément Bénard, Gérard Biau, Sébastien Da Veiga, Erwan Scornet

CoRR, 2019

An Adapted Derivative-Free Optimization Method for an Optimal Design Application with Mixed Binary and Continuous Variables.

Thi-Thoi Tran, Delphine Sinoquet, Sébastien Da Veiga, Marcel Mongeau

Proceedings of the Advanced Computational Methods for Knowledge Engineering, 2019

2018

Sequential model aggregation for production forecasting.

Raphaël Deswarte, Véronique Gervais, Gilles Stoltz, Sébastien Da Veiga

CoRR, 2018

2013

Image processing tools for better incorporation of 4D seismic data into reservoir models.

Ratiba Derfoul, Sébastien Da Veiga, Christian Gout, Carole Le Guyader, Elodie Tillier

J. Comput. Appl. Math., 2013

Appropriate formulation of the objective function for the history matching of seismic attributes.

Elodie Tillier, Sébastien Da Veiga, Ratiba Derfoul

Comput. Geosci., 2013

Global Sensitivity Analysis with Dependence Measures.

Sébastien Da Veiga

CoRR, 2013

2012

Global sensitivity analysis of stochastic computer models with joint metamodels.

Amandine Marrel, Bertrand Iooss, Sébastien Da Veiga, Mathieu Ribatet

Stat. Comput., 2012

2011

Cosimulation as a perturbation method for calibrating porosity and permeability fields to dynamic data.

Mickaële Le Ravalec-Dupin, Sébastien Da Veiga

Comput. Geosci., 2011

2009

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

Sébastien Da Veiga, François Wahl, Fabrice Gamboa

Technometrics, 2009