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stat.ME2026
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…
stat.ME2024★ 2 cited
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.…