2 citations · 3 across the 4 of their papers we have counts for
4 papers
Diffeomorphic registration distances for Bayesian calibration of infinite-dimensional computer models
Paul Lartaud, Gwenaël Salin
The simulation of physical phenomena with computer models relies on the estimation of physical and/or numerical parameters calibrated to fit experimental data. The approximations w…
Uncertainty quantification in neutron and gamma time correlation measurements
Paul Lartaud, Philippe Humbert, Josselin Garnier
Neutron noise analysis is a predominant technique for fissile matter identification with passive methods. Quantifying the uncertainties associated with the estimated nuclear parame…
Sequential design for surrogate modeling in Bayesian inverse problems
Paul Lartaud, Philippe Humbert, Josselin Garnier
Sequential design is a highly active field of research in active learning which provides a general framework for designing computer experiments with limited computational budgets.…
Multi-output Gaussian processes for inverse uncertainty quantification in neutron noise analysis
Paul Lartaud, Philippe Humbert, Josselin Garnier
In a fissile material, the inherent multiplicity of neutrons born through induced fissions leads to correlations in their detection statistics. The correlations between neutrons ca…