J. Garnier, J.-B- Gaudemet, and A. Gruz The Climate Extended Risk Model (CERM) (pdf), preprint.
L. Baldassari, J. Garnier, K. Solna, and M. V. de Hoop, Preconditioned Langevin dynamics with score-based generative models for infinite-dimensional linear Bayesian inverse problems (pdf), to appear in NEURIPS 2025.
J. Garnier, L. Giovangigli, Q. Goepfert, and P. Millien, Probing the speckle to estimate the effective speed of sound, a first step towards quantitative ultrasound imaging (pdf), to appear in Inverse Problems and Imaging.
C. Houpert, J. Garnier, and P. Humbert, Inverse problems for stochastic neutronics, considering two time gates (pdf), to appear in Nuclear Science and Engineering.
P. Lartaud, P. Humbert, and J. Garnier, Solving Bayesian inverse problems using Gaussian Process Regression with goal-oriented active learning (pdf), to appear in Technometrics.
