Robert Scheichl

104 papers A* 2A 1Journal 96Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Exploiting Inexact Computations in Multilevel Monte Carlo and Other Sampling Methods. SIAM J. Sci. Comput. Josef Martínek, Erin Carson, Robert Scheichl
2026	J	`jnl`	Fast-Convergent Two-Level Restricted Additive Schwarz Methods Based on Optimal Local Approximation Spaces. SIAM J. Sci. Comput. Arne Strehlow, Chupeng Ma, Robert Scheichl
2025	J	`jnl`	A Budgeted Multi-Level Monte Carlo Method for Full Field Estimates of Multi-PDE Problems. CoRR Niklas Baumgarten, Robert Kutri, Robert Scheichl
2025	J	`jnl`	A Complex-Projected Rayleigh Quotient Iteration for Targeting Interior Eigenvalues. SIAM J. Matrix Anal. Appl. Nils Friess, Alexander D. Gilbert, Robert Scheichl
2025	J	`jnl`	A mixed multiscale spectral generalized finite element method. Numerische Mathematik Christian Alber, Chupeng Ma, Robert Scheichl
2025	J	`jnl`	Democratizing uncertainty quantification. J. Comput. Phys. Linus Seelinger, Anne Reinarz, Mikkel Bue Lykkegaard, Robert Akers, Amal Mohammed A. Alghamdi, David Aristoff, Wolfgang Bangerth, Jean Bénézech, Matteo Diez, Kurt Frey, John D. Jakeman, Jakob Sauer Jørgensen, Ki-Tae Kim, Benjamin M. Kent, Massimiliano Martinelli, Matthew D. Parno, Riccardo Pellegrini, Noemi Petra, Nicolai André Brogaard Riis, Katherine Rosenfeld, Andrea Serani, Lorenzo Tamellini, Umberto Villa, Tim J. Dodwell, Robert Scheichl
2025	J	`jnl`	Exploiting Inexact Computations in Multilevel Sampling Methods. CoRR Josef Martínek, Erin Carson, Robert Scheichl
2025	J	`jnl`	Optimal Spectral Approximation in the Overlaps for Generalized Finite Element Methods. CoRR Christian Alber, Peter Bastian, Moritz Hauck, Robert Scheichl
2025	J	`jnl`	Robust spectral preconditioning for high-Péclet number convection-diffusion. CoRR Lukas Holbach, Peter Bastian, Robert Scheichl
2025	J	`jnl`	Statistical parameter identification of mixed-mode patterns from a single experimental snapshot. J. Comput. Phys. Alexey Kazarnikov, Robert Scheichl, Irving R. Epstein, Heikki Haario, Anna K. Marciniak-Czochra
2025	J	`jnl`	Subspace accelerated measure transport methods for fast and scalable sequential experimental design, with application to photoacoustic imaging. CoRR Tiangang Cui, Karina Koval, Roland Herzog, Robert Scheichl
2025	J	`jnl`	Two-Level Restricted Additive Schwarz Preconditioner Based on Multiscale Spectral Generalized FEM for Heterogeneous Helmholtz Problems. J. Sci. Comput. Chupeng Ma, Christian Alber, Robert Scheichl, Yongwei Zhang
2024	J	`jnl`	A Mixed Multiscale Spectral Generalized Finite Element Method. CoRR Christian Alber, Chupeng Ma, Robert Scheichl
2024	J	`jnl`	Adaptive Multilevel Subset Simulation with Selective Refinement. SIAM/ASA J. Uncertain. Quantification Daniel Elfverson, Robert Scheichl, Simon Weissmann, Francisco Alejandro Diaz De la O
2024	J	`jnl`	Deep Importance Sampling Using Tensor Trains with Application to a Priori and a Posteriori Rare Events. SIAM J. Sci. Comput. Tiangang Cui, Sergey Dolgov, Robert Scheichl
2024	J	`jnl`	Democratizing Uncertainty Quantification. CoRR Linus Seelinger, Anne Reinarz, Mikkel Bue Lykkegaard, Amal Mohammed A. Alghamdi, David Aristoff, Wolfgang Bangerth, Jean Bénézech, Matteo Diez, Kurt Frey, John D. Jakeman, Jakob Sauer Jørgensen, Ki-Tae Kim, Massimiliano Martinelli, Matthew D. Parno, Riccardo Pellegrini, Noemi Petra, Nicolai André Brogaard Riis, Katherine Rosenfeld, Andrea Serani, Lorenzo Tamellini, Umberto Villa, Tim J. Dodwell, Robert Scheichl
2024	J	`jnl`	Dirichlet-Neumann Averaging: The DNA of Efficient Gaussian Process Simulation. CoRR Robert Kutri, Robert Scheichl
2024	J	`jnl`	Fast-convergent two-level restricted additive Schwarz methods based on optimal local approximation spaces. CoRR Arne Strehlow, Chupeng Ma, Robert Scheichl
2024	J	`jnl`	Multigrid Monte Carlo Revisited: Theory and Bayesian Inference. CoRR Yoshihito Kazashi, Eike H. Müller, Robert Scheichl
2024	J	`jnl`	Multilevel Monte Carlo Methods for Stochastic Convection-Diffusion Eigenvalue Problems. J. Sci. Comput. Tiangang Cui, Hans De Sterck, Alexander D. Gilbert, Stanislav Polishchuk, Robert Scheichl
2024	J	`jnl`	Scalable multiscale-spectral GFEM with an application to composite aero-structures. J. Comput. Phys. Jean Bénézech, Linus Seelinger, Peter Bastian, Richard Butler, Timothy Dodwell, Chupeng Ma, Robert Scheichl
2024	J	`jnl`	Tractable Optimal Experimental Design using Transport Maps. CoRR Karina Koval, Roland Herzog, Robert Scheichl
2024	J	`jnl`	Two-level Restricted Additive Schwarz preconditioner based on Multiscale Spectral Generalized FEM for Heterogeneous Helmholtz Problems. CoRR Chupeng Ma, Christian Alber, Robert Scheichl
2023	J	`jnl`	A Bayesian Approach to Modeling Biological Pattern Formation with Limited Data. SIAM J. Sci. Comput. Alexey Kazarnikov, Robert Scheichl, Heikki Haario, Anna K. Marciniak-Czochra
2023	J	`jnl`	A complex-projected Rayleigh quotient iteration for targeting interior eigenvalues. CoRR Nils Friess, Alexander D. Gilbert, Robert Scheichl
2023	J	`jnl`	Lowering the Entry Bar to HPC-Scale Uncertainty Quantification. CoRR Linus Seelinger, Anne Reinarz, Jean Bénézech, Mikkel Bue Lykkegaard, Lorenzo Tamellini, Robert Scheichl
2023	J	`jnl`	Multilevel Delayed Acceptance MCMC. SIAM/ASA J. Uncertain. Quantification Mikkel Bue Lykkegaard, Tim J. Dodwell, Colin Fox, G. Mingas, Robert Scheichl
2023	J	`jnl`	Multilevel Monte Carlo methods for stochastic convection-diffusion eigenvalue problems. CoRR Tiangang Cui, Hans De Sterck, Alexander D. Gilbert, Stanislav Polishchuk, Robert Scheichl
2023	J	`jnl`	Multilevel Spectral Domain Decomposition. SIAM J. Sci. Comput. Peter Bastian, Robert Scheichl, Linus Seelinger, Arne Strehlow
2023	J	`jnl`	Wavenumber Explicit Convergence of a Multiscale Generalized Finite Element Method for Heterogeneous Helmholtz Problems. SIAM J. Numer. Anal. Chupeng Ma, Christian Alber, Robert Scheichl
2022	J	`jnl`	Adaptive multilevel subset simulation with selective refinement. CoRR Daniel Elfverson, Robert Scheichl, Simon Weissmann, Francisco Alejandro DiazDelaO
2022	J	`jnl`	Deep importance sampling using tensor-trains with application to a priori and a posteriori rare event estimation. CoRR Tiangang Cui, Sergey Dolgov, Robert Scheichl
2022	J	`jnl`	Error estimates for discrete generalized FEMs with locally optimal spectral approximations. Math. Comput. Chupeng Ma, Robert Scheichl
2022	J	`jnl`	Novel Design and Analysis of Generalized Finite Element Methods Based on Locally Optimal Spectral Approximations. SIAM J. Numer. Anal. Chupeng Ma, Robert Scheichl, Tim J. Dodwell
2022	J	`jnl`	Rank Bounds for Approximating Gaussian Densities in the Tensor-Train Format. SIAM/ASA J. Uncertain. Quantification Paul B. Rohrbach, Sergey Dolgov, Lars Grasedyck, Robert Scheichl
2022	J	`jnl`	Scalable multiscale-spectral GFEM for composite aero-structures. CoRR Jean Bénézech, Linus Seelinger, Peter Bastian, Richard Butler, Timothy Dodwell, Chupeng Ma, Robert Scheichl
2021	J	`jnl`	Error estimates for fully discrete generalized FEMs with locally optimal spectral approximations. CoRR Chupeng Ma, Robert Scheichl
2021	J	`jnl`	GenEO coarse spaces for heterogeneous indefinite elliptic problems. CoRR Niall Bootland, Victorita Dolean, Ivan G. Graham, Chupeng Ma, Robert Scheichl
2021	A*	`conf`	HINT: Hierarchical Invertible Neural Transport for Density Estimation and Bayesian Inference. AAAI Jakob Kruse, Gianluca Detommaso, Ullrich Köthe, Robert Scheichl
2021	J	`jnl`	High Performance Uncertainty Quantification with Parallelized Multilevel Markov Chain Monte Carlo. CoRR Linus Seelinger, Anne Reinarz, Leonhard Rannabauer, Michael Bader, Peter Bastian, Robert Scheichl
2021	A	`conf`	High performance uncertainty quantification with parallelized multilevel Markov chain Monte Carlo. SC Linus Seelinger, Anne Reinarz, Leonhard Rannabauer, Michael Bader, Peter Bastian, Robert Scheichl
2021	J	`jnl`	Multilevel Spectral Domain Decomposition. CoRR Peter Bastian, Robert Scheichl, Linus Seelinger, Arne Strehlow
2021	J	`jnl`	Multilevel quasi-Monte Carlo for random elliptic eigenvalue problems II: Efficient algorithms and numerical results. CoRR Alexander D. Gilbert, Robert Scheichl
2021	J	`jnl`	Novel design and analysis of generalized FE methods based on locally optimal spectral approximations. CoRR Chupeng Ma, Robert Scheichl, Tim J. Dodwell
2021	J	`jnl`	Overlapping Schwarz methods with GenEO coarse spaces for indefinite and non-self-adjoint problems. CoRR Niall Bootland, Victorita Dolean, Ivan G. Graham, Chupeng Ma, Robert Scheichl
2021	J	`jnl`	Wavenumber explicit convergence of a multiscale GFEM for heterogeneous Helmholtz problems. CoRR Chupeng Ma, Christian Alber, Robert Scheichl
2020	J	`jnl`	A fully adaptive multilevel stochastic collocation strategy for solving elliptic PDEs with random data. J. Comput. Phys. Jens Lang, Robert Scheichl, David J. Silvester
2020	J	`jnl`	Approximation and sampling of multivariate probability distributions in the tensor train decomposition. Stat. Comput. Sergey Dolgov, Karim Anaya-Izquierdo, Colin Fox, Robert Scheichl
2020	J	`jnl`	High-performance dune modules for solving large-scale, strongly anisotropic elliptic problems with applications to aerospace composites. Comput. Phys. Commun. Richard Butler, Tim J. Dodwell, Anne Reinarz, A. Sandhu, Robert Scheichl, Linus Seelinger
2020	J	`jnl`	Multilevel Monte Carlo for quantum mechanics on a lattice. CoRR Karl Jansen, Eike Hermann Müller, Robert Scheichl
2020	J	`jnl`	Multilevel quasi-Monte Carlo for random elliptic eigenvalue problems I: Regularity and error analysis. CoRR Alexander D. Gilbert, Robert Scheichl
2020	J	`jnl`	Rank Bounds for Approximating Gaussian Densities in the Tensor-Train Format. CoRR Paul B. Rohrbach, Sergey Dolgov, Lars Grasedyck, Robert Scheichl
2020	J	`jnl`	Unified Analysis of Periodization-Based Sampling Methods for Matérn Covariances. SIAM J. Numer. Anal. Markus Bachmayr, Ivan G. Graham, Van Kien Nguyen, Robert Scheichl
2019	—	`conf`	A High-Performance Implementation of a Robust Preconditioner for Heterogeneous Problems. PPAM (1) Linus Seelinger, Anne Reinarz, Robert Scheichl
2019	J	`jnl`	A High-Performance Implementation of a Robust Preconditioner for Heterogeneous Problems. CoRR Linus Seelinger, Anne Reinarz, Robert Scheichl
2019	J	`jnl`	A Hybrid Alternating Least Squares-TT-Cross Algorithm for Parametric PDEs. SIAM/ASA J. Uncertain. Quantification Sergey Dolgov, Robert Scheichl
2019	J	`jnl`	Analysis of quasi-Monte Carlo methods for elliptic eigenvalue problems with stochastic coefficients. Numerische Mathematik Alexander D. Gilbert, Ivan G. Graham, Frances Y. Kuo, Robert Scheichl, Ian H. Sloan
2019	J	`jnl`	Continuous Level Monte Carlo and Sample-Adaptive Model Hierarchies. SIAM/ASA J. Uncertain. Quantification Gianluca Detommaso, Tim J. Dodwell, Robert Scheichl
2019	J	`jnl`	ERRATUM: A Hierarchical Multilevel Markov Chain Monte Carlo Algorithm with Applications to Uncertainty Quantification in Subsurface Flow. SIAM/ASA J. Uncertain. Quantification Tim J. Dodwell, Christian Ketelsen, Robert Scheichl, Aretha L. Teckentrup
2019	J	`jnl`	HINT: Hierarchical Invertible Neural Transport for General and Sequential Bayesian inference. CoRR Gianluca Detommaso, Jakob Kruse, Lynton Ardizzone, Carsten Rother, Ullrich Köthe, Robert Scheichl
2019	J	`jnl`	Multilevel Dimension-Independent Likelihood-Informed MCMC for Large-Scale Inverse Problems. CoRR Tiangang Cui, Gianluca Detommaso, Robert Scheichl
2019	J	`jnl`	Multilevel Markov Chain Monte Carlo. SIAM Rev. Tim J. Dodwell, Christian Ketelsen, Robert Scheichl, Aretha L. Teckentrup
2019	J	`jnl`	Multilevel Monte Carlo Simulations of Composite Structures with Uncertain Manufacturing Defects. CoRR Tim J. Dodwell, S. Kinston, Richard Butler, Raphael T. Haftka, Nam H. Kim, Robert Scheichl
2018	A*	`conf`	A Stein variational Newton method. NeurIPS Gianluca Detommaso, Tiangang Cui, Youssef M. Marzouk, Alessio Spantini, Robert Scheichl
2018	J	`jnl`	A Stein variational Newton method. CoRR Gianluca Detommaso, Tiangang Cui, Youssef M. Marzouk, Robert Scheichl, Alessio Spantini
2018	J	`jnl`	Analysis of Circulant Embedding Methods for Sampling Stationary Random Fields. SIAM J. Numer. Anal. Ivan G. Graham, Frances Y. Kuo, Dirk Nuyens, Robert Scheichl, Ian H. Sloan
2018	J	`jnl`	Circulant embedding with QMC: analysis for elliptic PDE with lognormal coefficients. Numerische Mathematik Ivan G. Graham, Frances Y. Kuo, Dirk Nuyens, Robert Scheichl, Ian H. Sloan
2018	J	`jnl`	Multilevel Monte Carlo and improved timestepping methods in atmospheric dispersion modelling. J. Comput. Phys. Grigoris Katsiolides, Eike Hermann Müller, Robert Scheichl, Tony Shardlow, Michael B. Giles, David J. Thomson
2017	J	`jnl`	Multilevel Quasi-Monte Carlo methods for lognormal diffusion problems. Math. Comput. Frances Y. Kuo, Robert Scheichl, Christoph Schwab, Ian H. Sloan, Elisabeth Ullmann
2017	J	`jnl`	Quasi-Monte Carlo and Multilevel Monte Carlo Methods for Computing Posterior Expectations in Elliptic Inverse Problems. SIAM/ASA J. Uncertain. Quantification Robert Scheichl, Andrew M. Stuart, Aretha L. Teckentrup
2017	J	`jnl`	Scheduling Massively Parallel Multigrid for Multilevel Monte Carlo Methods. SIAM J. Sci. Comput. Daniel Drzisga, Björn Gmeiner, Ulrich Rüde, Robert Scheichl, Barbara I. Wohlmuth
2016	J	`jnl`	An Euler-Poisson scheme for Lévy driven stochastic differential equations. J. Appl. Probab. Albert Ferreiro-Castilla, Andreas E. Kyprianou, Robert Scheichl
2016	J	`jnl`	Robust Numerical Upscaling of Elliptic Multiscale Problems at High Contrast. Comput. Methods Appl. Math. Daniel Peterseim, Robert Scheichl
2016	J	`jnl`	Scheduling massively parallel multigrid for multilevel Monte Carlo methods. CoRR Björn Gmeiner, Daniel Drzisga, Ulrich Rüde, Robert Scheichl, Barbara I. Wohlmuth
2015	J	`jnl`	A Hierarchical Multilevel Markov Chain Monte Carlo Algorithm with Applications to Uncertainty Quantification in Subsurface Flow. SIAM/ASA J. Uncertain. Quantification Tim J. Dodwell, Christian Ketelsen, Robert Scheichl, Aretha L. Teckentrup
2015	J	`jnl`	Optimized Schwarz and 2-Lagrange Multiplier Methods for Multiscale Elliptic PDEs. SIAM J. Sci. Comput. Sébastien Loisel, Hieu Nguyen, Robert Scheichl
2015	J	`jnl`	Petascale solvers for anisotropic PDEs in atmospheric modelling on GPU clusters. Parallel Comput. Eike Hermann Müller, Robert Scheichl, Eero Vainikko
2015	J	`jnl`	Quasi-Monte Carlo finite element methods for elliptic PDEs with lognormal random coefficients. Numerische Mathematik Ivan G. Graham, Frances Y. Kuo, James A. Nichols, Robert Scheichl, Christoph Schwab, Ian H. Sloan
2014	J	`jnl`	Abstract robust coarse spaces for systems of PDEs via generalized eigenproblems in the overlaps. Numerische Mathematik Nicole Spillane, Victorita Dolean, Patrice Hauret, Frédéric Nataf, Clemens Pechstein, Robert Scheichl
2014	J	`jnl`	Efficient Multigrid Preconditioners for Anisotropic Problems in Geophysical Modelling. CoRR Andreas Dedner, Eike Hermann Müller, Robert Scheichl
2014	J	`jnl`	Petascale elliptic solvers for anisotropic PDEs on GPU clusters. CoRR Eike Hermann Müller, Robert Scheichl, Benson Muite, Eero Vainikko
2013	—	`ch.`	A Two-Level Schwarz Preconditioner for Heterogeneous Problems. Domain Decomposition Methods in Science and Engineering XX Victorita Dolean, Frédéric Nataf, Robert Scheichl, Nicole Spillane
2013	J	`jnl`	Finite Element Error Analysis of Elliptic PDEs with Random Coefficients and Its Application to Multilevel Monte Carlo Methods. SIAM J. Numer. Anal. Julia Charrier, Robert Scheichl, Aretha L. Teckentrup
2013	J	`jnl`	Further analysis of multilevel Monte Carlo methods for elliptic PDEs with random coefficients. Numerische Mathematik Aretha L. Teckentrup, Robert Scheichl, Michael B. Giles, Elisabeth Ullmann
2013	J	`jnl`	Massively parallel solvers for elliptic PDEs in Numerical Weather- and Climate Prediction. CoRR Eike Hermann Müller, Robert Scheichl
2013	J	`jnl`	Matrix-free GPU implementation of a preconditioned conjugate gradient solver for anisotropic elliptic PDEs CoRR Eike Hermann Müller, Xu Guo, Robert Scheichl, Sinan Shi
2013	J	`jnl`	Matrix-free GPU implementation of a preconditioned conjugate gradient solver for anisotropic elliptic PDEs. Comput. Vis. Sci. Eike Hermann Müller, Xu Guo, Robert Scheichl, Sinan Shi
2013	—	`ch.`	New Theoretical Coefficient Robustness Results for FETI-DP. Domain Decomposition Methods in Science and Engineering XX Clemens Pechstein, Marcus Sarkis, Robert Scheichl
2013	—	`ch.`	Robust Coarsening in Multiscale PDEs. Domain Decomposition Methods in Science and Engineering XX Robert Scheichl
2012	J	`jnl`	Algebraic multigrid for discontinuous Galerkin discretizations of heterogeneous elliptic problems. Numer. Linear Algebra Appl. Peter Bastian, Markus Blatt, Robert Scheichl
2012	J	`jnl`	Analysis of a Two-level Schwarz Method with Coarse Spaces Based on Local Dirichlet-to-Neumann Maps. Comput. Methods Appl. Math. Victorita Dolean, Frédéric Nataf, Robert Scheichl, Nicole Spillane
2012	J	`jnl`	Multilevel Methods for Elliptic Problems with Highly Varying Coefficients on Nonaligned Coarse Grids. SIAM J. Numer. Anal. Robert Scheichl, Panayot S. Vassilevski, Ludmil T. Zikatanov
2011	J	`jnl`	Analysis of FETI methods for multiscale PDEs. Part II: interface variation. Numerische Mathematik Clemens Pechstein, Robert Scheichl
2011	J	`jnl`	Multilevel Monte Carlo methods and applications to elliptic PDEs with random coefficients. Comput. Vis. Sci. K. Andrew Cliffe, Mike B. Giles, Robert Scheichl, Aretha L. Teckentrup
2011	J	`jnl`	Quasi-Monte Carlo methods for elliptic PDEs with random coefficients and applications. J. Comput. Phys. Ivan G. Graham, Frances Y. Kuo, Dirk Nuyens, Robert Scheichl, Ian H. Sloan
2011	J	`jnl`	Weak Approximation Properties of Elliptic Projections with Functional Constraints. Multiscale Model. Simul. Robert Scheichl, Panayot S. Vassilevski, Ludmil T. Zikatanov
2010	J	`jnl`	Convergence Analysis of Planewave Expansion Methods for 2D Schrödinger Operators with Discontinuous Periodic Potentials. SIAM J. Numer. Anal. Richard Norton, Robert Scheichl
2010	J	`jnl`	Parallel geometric multigrid for global weather prediction. Numer. Linear Algebra Appl. Sean Buckeridge, Robert Scheichl
2009	J	`jnl`	Energy-minimizing coarse spaces for two-level Schwarz methods for multiscale PDEs. Numer. Linear Algebra Appl. Jan Van Lent, Robert Scheichl, Ivan G. Graham
2008	J	`jnl`	Analysis of FETI methods for multiscale PDEs. Numerische Mathematik Clemens Pechstein, Robert Scheichl
2007	J	`jnl`	Additive Schwarz with aggregation-based coarsening for elliptic problems with highly variable coefficients. Computing Robert Scheichl, Eero Vainikko
2007	J	`jnl`	Domain decomposition for multiscale PDEs. Numerische Mathematik Ivan G. Graham, Patrick O. Lechner, Robert Scheichl
2003	—	`conf`	Parallel Preconditioning for Sedimentary Basin Simulations. LSSC Roland Masson, Philippe Quandalle, Stéphane Requena, Robert Scheichl
2002	J	`jnl`	Decoupling Three-Dimensional Mixed Problems Using Divergence-Free Finite Elements. SIAM J. Sci. Comput. Robert Scheichl