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Consistency analysis of bilevel data-driven learning in inverse problems., , , and . CoRR, (2020)Ensemble Kalman filter for neural network based one-shot inversion., , and . CoRR, (2020)On the convergence of the Laplace approximation and noise-level-robustness of Laplace-based Monte Carlo methods for Bayesian inverse problems., , and . Numerische Mathematik, 145 (4): 915-971 (2020)Parabolic PDE-constrained optimal control under uncertainty with entropic risk measure using quasi-Monte Carlo integration., , , , and . CoRR, (2022)Analysis of the Ensemble Kalman Filter for Inverse Problems., and . SIAM J. Numer. Anal., 55 (3): 1264-1290 (2017)A Quasi-Monte Carlo Method for Optimal Control Under Uncertainty., , , , and . SIAM/ASA J. Uncertain. Quantification, 9 (2): 354-383 (2021)Happy People - Image Synthesis as Black-Box Optimization Problem in the Discrete Latent Space of Deep Generative Models., , , and . CoRR, (2023)On the Incorporation of Box-Constraints for Ensemble Kalman Inversion., , and . CoRR, (2019)A quasi-Monte Carlo Method for an Optimal Control Problem Under Uncertainty., , , , and . CoRR, (2019)Quantification of Airfoil Geometry-Induced Aerodynamic Uncertainties - Comparison of Approaches., , , and . SIAM/ASA J. Uncertain. Quantification, 5 (1): 334-352 (2017)