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Solution of nonlinear Stokes equations discretized by high-order finite elements on nonconforming and anisotropic meshes, with application to ice sheet dynamics., , and . CoRR, (2014)A gradient-free subspace-adjusting ensemble sampler for infinite-dimensional Bayesian inverse problems., and . CoRR, (2022)Bayesian neural network priors for edge-preserving inversion., , and . CoRR, (2021)Extreme event probability estimation using PDE-constrained optimization and large deviation theory, with application to tsunamis., , and . CoRR, (2020)Solution of Nonlinear Stokes Equations Discretized By High-Order Finite Elements on Nonconforming and Anisotropic Meshes, with Application to Ice Sheet Dynamics., , and . SIAM J. Sci. Comput., (2015)Single-stage gradient-based stellarator coil design: Optimization for near-axis quasi-symmetry., , , , and . CoRR, (2020)A Fast and Scalable Method for A-Optimal Design of Experiments for Infinite-dimensional Bayesian Nonlinear Inverse Problems., , , and . SIAM J. Sci. Comput., (2016)Scalable and efficient algorithms for the propagation of uncertainty from data through inference to prediction for large-scale problems, with application to flow of the Antarctic ice sheet., , , and . J. Comput. Phys., (2015)Plattentektonik im Supercomputer, , and . Spektrum der Wissenschaft,   (4): 12-14 (2011)Large deviation theory-based adaptive importance sampling for rare events in high dimensions., and . CoRR, (2022)