Inverse modeling of geochemical and mechanical compaction in sedimentary basins through Polynomial Chaos Expansion

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Inverse modeling of geochemical and mechanical compaction in sedimentary basins through Polynomial Chaos Expansion

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PoGaIN: Poisson-Gaussian Image Noise Modeling From Paired Samples

Multi-Level Monte Carlo Methods for Uncertainty Quantification and Risk-Averse Optimisation

Lower-bounds on the Bayesian Risk in Estimation Procedures via f–Divergences

Representing location choice within activity-based models

Combining Model Driven and Data Driven Approaches for Inverse Problems in Parameter Estimation and Image Reconstruction: From Modelling to Validation

VL4Pose: Active Learning Through Out-Of-Distribution Detection For Pose Estimation

Dynamical low rank approximation for uncertainty quantification of time-dependent problems

Analysis-aware defeaturing of complex geometries

Improved Inference On Risk Measures For Univariate Extremes

Stochastic derivative estimation for max-stable random fields