Georg Stadler - RankMe

61 papers A 6Journal 53Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Book Review: An Introduction to Stellarators. SIAM Rev. Georg Stadler
2026	J	`jnl`	Infinite-dimensional spherical-radial decomposition for probabilistic functions, with application to constrained optimal control and Gaussian process regression. CoRR Kewei Wang, Georg Stadler
2025	J	`jnl`	A note on generating Voronoi cells with a given size distribution. CoRR Georg Stadler, Gonzalo G. De Diego
2025	J	`jnl`	Learning parameter-dependent shear viscosity from data, with application to sea and land ice. CoRR Gonzalo G. De Diego, Georg Stadler
2025	J	`jnl`	Optimal Control under Uncertainty with Joint Chance State Constraints: Almost-Everywhere Bounds, Variance Reduction, and Application to (Bi)linear Elliptic PDEs. SIAM/ASA J. Uncertain. Quantification René Henrion, Georg Stadler, Florian Wechsung
2024	J	`jnl`	Optimal control under uncertainty with joint chance state constraints: almost-everywhere bounds, variance reduction, and application to (bi-)linear elliptic PDEs. CoRR René Henrion, Georg Stadler, Florian Wechsung
2023	J	`jnl`	Hierarchical off-diagonal low-rank approximation of Hessians in inverse problems, with application to ice sheet model initializaiton. CoRR Tucker Hartland, Georg Stadler, Mauro Perego, Kim Liegeois, Noemi Petra
2023	J	`jnl`	Large Deviation Theory-based Adaptive Importance Sampling for Rare Events in High Dimensions. SIAM/ASA J. Uncertain. Quantification Shanyin Tong, Georg Stadler
2023	J	`jnl`	Robust Multigrid Techniques for Augmented Lagrangian Preconditioning of Incompressible Stokes Equations with Extreme Viscosity Variations. SIAM J. Sci. Comput. Yu-Hsuan Shih, Georg Stadler, Florian Wechsung
2023	J	`jnl`	Robust and efficient primal-dual Newton-Krylov solvers for viscous-plastic sea-ice models. J. Comput. Phys. Yu-Hsuan Shih, Carolin Mehlmann, Martin Losch, Georg Stadler
2023	J	`jnl`	Scalable methods for computing sharp extreme event probabilities in infinite-dimensional stochastic systems. Stat. Comput. Timo Schorlepp, Shanyin Tong, Tobias Grafke, Georg Stadler
2023	J	`jnl`	Sensitivity Analysis of the Information Gain in Infinite-Dimensional Bayesian Linear Inverse Problems. CoRR Abhijit Chowdhary, Shanyin Tong, Georg Stadler, Alen Alexanderian
2022	J	`jnl`	A gradient-free subspace-adjusting ensemble sampler for infinite-dimensional Bayesian inverse problems. CoRR Matthew M. Dunlop, Georg Stadler
2022	J	`jnl`	Large deviation theory-based adaptive importance sampling for rare events in high dimensions. CoRR Shanyin Tong, Georg Stadler
2022	J	`jnl`	Robust and efficient primal-dual Newton-Krylov solvers for viscous-plastic sea-ice models. CoRR Yu-Hsuan Shih, Carolin Mehlmann, Martin Losch, Georg Stadler
2022	J	`jnl`	Single-stage gradient-based stellarator coil design: Optimization for near-axis quasi-symmetry. J. Comput. Phys. Andrew Giuliani, Florian Wechsung, Antoine J. Cerfon, Georg Stadler, Matt Landreman
2022	J	`jnl`	What counts as a weak tie? A comparison of filtering techniques to analyze co-exposure networks. Soc. Networks Subhayan Mukerjee, Tian Yang, Georg Stadler, Sandra González-Bailón
2021	J	`jnl`	Bayesian neural network priors for edge-preserving inversion. CoRR Chen Li, Matthew M. Dunlop, Georg Stadler
2021	J	`jnl`	Estimating earthquake-induced tsunami inundation probabilities without sampling. CoRR Shanyin Tong, Eric Vanden-Eijnden, Georg Stadler
2021	J	`jnl`	Optimal Design of Large-scale Bayesian Linear Inverse Problems Under Reducible Model Uncertainty: Good to Know What You Don't Know. SIAM/ASA J. Uncertain. Quantification Alen Alexanderian, Noemi Petra, Georg Stadler, Isaac Sunseri
2021	J	`jnl`	Robust multigrid techniques for augmented Lagrangian preconditioning of incompressible Stokes equations with extreme viscosity variations. CoRR Yu-Hsuan Shih, Georg Stadler, Florian Wechsung
2021	J	`jnl`	Stochastic Iterative Learning Control for Lumped- and Distributed-Parameter Systems: A Wiener-Filtering Approach. IEEE Trans. Autom. Control. Andreas Deutschmann-Olek, Georg Stadler, Andreas Kugi
2020	J	`jnl`	Advanced Newton Methods for Geodynamical Models of Stokes Flow with Viscoplastic Rheologies. CoRR Johann Rudi, Yu-Hsuan Shih, Georg Stadler
2020	J	`jnl`	Bayesian approach to inverse scattering with topological priors. CoRR Ana Carpio, Sergei Iakunin, Georg Stadler
2020	J	`jnl`	Extreme event probability estimation using PDE-constrained optimization and large deviation theory, with application to tsunamis. CoRR Shanyin Tong, Eric Vanden-Eijnden, Georg Stadler
2020	J	`jnl`	Hierarchical Matrix Approximations of Hessians Arising in Inverse Problems Governed by PDEs. CoRR Ilona Ambartsumyan, Wajih Bou Karam, Tan Bui-Thanh, Omar Ghattas, David E. Keyes, Georg Stadler, George Turkiyyah, Stefano Zampini
2020	J	`jnl`	Hierarchical Matrix Approximations of Hessians Arising in Inverse Problems Governed by PDEs. SIAM J. Sci. Comput. Ilona Ambartsumyan, Wajih Halim Boukaram, Tan Bui-Thanh, Omar Ghattas, David E. Keyes, Georg Stadler, George Turkiyyah, Stefano Zampini
2020	J	`jnl`	Single-stage gradient-based stellarator coil design: Optimization for near-axis quasi-symmetry. CoRR Andrew Giuliani, Florian Wechsung, Antoine J. Cerfon, Georg Stadler, Matt Landreman
2019	J	`jnl`	Optimal experimental design under irreducible uncertainty for inverse problems governed by PDEs. CoRR Karina Koval, Alen Alexanderian, Georg Stadler
2019	J	`jnl`	Scalable Simulation of Realistic Volume Fraction Red Blood Cell Flows through Vascular Networks. CoRR Libin Lu, Matthew J. Morse, Abtin Rahimian, Georg Stadler, Denis Zorin
2019	A	`conf`	Scalable simulation of realistic volume fraction red blood cell flows through vascular networks. SC Libin Lu, Matthew J. Morse, Abtin Rahimian, Georg Stadler, Denis Zorin
2019	J	`jnl`	Sparse Solutions in Optimal Control of PDEs with Uncertain Parameters: The Linear Case. SIAM J. Control. Optim. Chen Li, Georg Stadler
2017	J	`jnl`	Mean-Variance Risk-Averse Optimal Control of Systems Governed by PDEs with Random Parameter Fields Using Quadratic Approximations. SIAM/ASA J. Uncertain. Quantification Alen Alexanderian, Noemi Petra, Georg Stadler, Omar Ghattas
2017	J	`jnl`	Weighted BFBT Preconditioner for Stokes Flow Problems with Highly Heterogeneous Viscosity. SIAM J. Sci. Comput. Johann Rudi, Georg Stadler, Omar Ghattas
2016	J	`jnl`	A Fast and Scalable Method for A-Optimal Design of Experiments for Infinite-dimensional Bayesian Nonlinear Inverse Problems. SIAM J. Sci. Comput. Alen Alexanderian, Noemi Petra, Georg Stadler, Omar Ghattas
2016	—	`conf`	Scalable Algorithms for Bayesian Inference of Large-Scale Models from Large-Scale Data. VECPAR Omar Ghattas, Tobin Isaac, Noémi Petra, Georg Stadler
2016	J	`jnl`	Weighted BFBT Preconditioner for Stokes Flow Problems with Highly Heterogeneous Viscosity. CoRR Johann Rudi, Georg Stadler, Omar Ghattas
2015	A	`conf`	An extreme-scale implicit solver for complex PDEs: highly heterogeneous flow in earth's mantle. SC Johann Rudi, A. Cristiano I. Malossi, Tobin Isaac, Georg Stadler, Michael Gurnis, Peter W. J. Staar, Yves Ineichen, Costas Bekas, Alessandro Curioni, Omar Ghattas
2015	J	`jnl`	Comparison of multigrid algorithms for high-order continuous finite element discretizations. Numer. Linear Algebra Appl. Hari Sundar, Georg Stadler, George Biros
2015	J	`jnl`	Discretely Exact Derivatives for Hyperbolic PDE-Constrained Optimization Problems Discretized by the Discontinuous Galerkin Method. J. Sci. Comput. Lucas C. Wilcox, Georg Stadler, Tan Bui-Thanh, Omar Ghattas
2015	J	`jnl`	Erratum: Directional Sparsity In Optimal Control of Partial Differential Equations. SIAM J. Control. Optim. Roland Herzog, Georg Stadler, Gerd Wachsmuth
2015	J	`jnl`	Modellierung des Umschlingungswinkels eines auf Rollen geführten Metallbandes. Autom. Georg Stadler, Andreas Steinboeck, Michael Baumgart, Andreas Kugi
2015	J	`jnl`	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. J. Comput. Phys. Tobin Isaac, Noemi Petra, Georg Stadler, Omar Ghattas
2015	J	`jnl`	Solution of Nonlinear Stokes Equations Discretized By High-Order Finite Elements on Nonconforming and Anisotropic Meshes, with Application to Ice Sheet Dynamics. SIAM J. Sci. Comput. Tobin Isaac, Georg Stadler, Omar Ghattas
2014	J	`jnl`	A Computational Framework for Infinite-Dimensional Bayesian Inverse Problems, Part II: Stochastic Newton MCMC with Application to Ice Sheet Flow Inverse Problems. SIAM J. Sci. Comput. Noemi Petra, James Martin, Georg Stadler, Omar Ghattas
2014	J	`jnl`	A-Optimal Design of Experiments for Infinite-Dimensional Bayesian Linear Inverse Problems with Regularized ℓ SIAM J. Sci. Comput. Alen Alexanderian, Noemi Petra, Georg Stadler, Omar Ghattas
2014	J	`jnl`	Solution of nonlinear Stokes equations discretized by high-order finite elements on nonconforming and anisotropic meshes, with application to ice sheet dynamics. CoRR Tobin Isaac, Georg Stadler, Omar Ghattas
2013	J	`jnl`	A Computational Framework for Infinite-Dimensional Bayesian Inverse Problems Part I: The Linearized Case, with Application to Global Seismic Inversion. SIAM J. Sci. Comput. Tan Bui-Thanh, Omar Ghattas, James Martin, Georg Stadler
2012	J	`jnl`	Directional Sparsity in Optimal Control of Partial Differential Equations. SIAM J. Control. Optim. Roland Herzog, Georg Stadler, Gerd Wachsmuth
2012	A	`conf`	Extreme-scale UQ for Bayesian inverse problems governed by PDEs. SC Tan Bui-Thanh, Carsten Burstedde, Omar Ghattas, James Martin, Georg Stadler, Lucas C. Wilcox
2012	A	`conf`	Parallel geometric-algebraic multigrid on unstructured forests of octrees. SC Hari Sundar, George Biros, Carsten Burstedde, Johann Rudi, Omar Ghattas, Georg Stadler
2011	J	`jnl`	A Shape Hessian-Based Boundary Roughness Analysis of Navier-Stokes Flow. SIAM J. Appl. Math. Shan Yang, Georg Stadler, Robert D. Moser, Omar Ghattas
2010	J	`jnl`	A high-order discontinuous Galerkin method for wave propagation through coupled elastic-acoustic media. J. Comput. Phys. Lucas C. Wilcox, Georg Stadler, Carsten Burstedde, Omar Ghattas
2010	A	`conf`	Extreme-Scale AMR. SC Carsten Burstedde, Omar Ghattas, Michael Gurnis, Tobin Isaac, Georg Stadler, Tim Warburton, Lucas C. Wilcox
2010	J	`jnl`	Variational Image Segmentation for Endoscopic Human Colonic Aberrant Crypt Foci. IEEE Trans. Medical Imaging Isabel N. Figueiredo, Pedro N. Figueiredo, Georg Stadler, Omar Ghattas, Adérito Araújo
2009	J	`jnl`	Elliptic optimal control problems with Comput. Optim. Appl. Georg Stadler
2008	J	`jnl`	A Primal-Dual Active Set Algorithm for Three-Dimensional Contact Problems with Coulomb Friction. SIAM J. Sci. Comput. Stefan Hüeber, Georg Stadler, Barbara I. Wohlmuth
2008	A	`conf`	Scalable adaptive mantle convection simulation on petascale supercomputers. SC Carsten Burstedde, Omar Ghattas, Michael Gurnis, Georg Stadler, Eh Tan, Tiankai Tu, Lucas C. Wilcox, Shijie Zhong
2006	J	`jnl`	An Infeasible Primal-Dual Algorithm for Total Bounded Variation-Based Inf-Convolution-Type Image Restoration. SIAM J. Sci. Comput. Michael Hintermüller, Georg Stadler
2004	J	`jnl`	Semismooth Newton and Augmented Lagrangian Methods for a Simplified Friction Problem. SIAM J. Optim. Georg Stadler
2003	—	`conf`	Digitized Media: Effects on Economy and Society. Wirtschaftsinformatik (2) Maximilian Keisers, Lutz Niehüser, Georg Stadler