Showing 1–20 of 33 results
/ Date/ Name
Apr 17, 2025Gradient-Free Sequential Bayesian Experimental Design via Interacting Particle SystemsFeb 5, 2016Analysis of the ensemble Kalman filter for inverse problemsFeb 25, 2017Convergence Analysis of Ensemble Kalman Inversion: The Linear, Noisy CaseDec 11, 2023Ensemble Kalman Inversion for Image Guided Guide Wire Navigation in Vascular SystemsAug 4, 2022Parabolic PDE-constrained optimal control under uncertainty with entropic risk measure using quasi-Monte Carlo integrationOct 22, 2019A quasi-Monte Carlo Method for an Optimal Control Problem Under UncertaintyOct 19, 2018Well Posedness and Convergence Analysis of the Ensemble Kalman InversionFeb 17, 2025Uncertainty quantification for stationary and time-dependent PDEs subject to Gevrey regular random domain deformationsAug 17, 2025An optimal experimental design approach to sensor placement in continuous stochastic filteringJul 30, 2021Continuous time limit of the stochastic ensemble Kalman inversion: Strong convergence analysisSep 23, 2022Ensemble-based gradient inference for particle methods in optimization and samplingMay 8, 2024A Gauss-Newton Method for ODE Optimal Tracking ControlMar 14, 2025Accuracy Boost in Ensemble Kalman Inversion via Ensemble Control StrategiesJan 16, 2025Lattice Rules Meet Kernel CubatureMay 6, 2024Quasi-Monte Carlo for Bayesian design of experiment problems governed by parametric PDEsOct 18, 2021Adaptive Tikhonov strategies for stochastic ensemble Kalman inversionJul 6, 2020Consistency analysis of bilevel data-driven learning in inverse problemsAug 2, 2019On the Incorporation of Box-Constraints for Ensemble Kalman InversionMay 5, 2020Ensemble Kalman filter for neural network based one-shot inversionJun 17, 2021Hierarchical surrogate-based Approximate Bayesian Computation for an electric motor test bench