Elisabeth Ullmann

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Oliver G. ErnstTU ChemnitzVerified email at math.tu-chemnitz.de
Jonas LatzUniversity of ManchesterVerified email at manchester.ac.uk
Iason PapaioannouTU MünchenVerified email at tum.de
Robert ScheichlHeidelberg UniversityVerified email at uni-heidelberg.de
Catherine E PowellMathematics, University of ManchesterVerified email at manchester.ac.uk
Aretha L TeckentrupReader in Mathematics of Data Science, University of EdinburghVerified email at ed.ac.uk
Daniel StraubTU München, Engineering Risk Analysis GroupVerified email at tum.de
Christoph SchwabProfessor for Mathematics, ETH ZurichVerified email at math.ethz.ch
Frances Y. KuoUNSW AustraliaVerified email at unsw.edu.au
Ian SloanProfessor of Mathematics, University of New South Wales (UNSW Australia)Verified email at unsw.edu.au
Felipe UribeData scientist, Danfoss LeanheatVerified email at danfoss.com
Michael HinzeProfessor for optimization of complex systems, Mathematisches Institut, Universität KoblenzVerified email at uni-koblenz.de
Ustim KhristenkoSafran TechVerified email at safrangroup.com
Laura ScarabosioRadboud UniversityVerified email at math.ru.nl
Barbara WohlmuthProefssorin für Mathematik, TU MünchenVerified email at ma.tum.de
Clara Herrero MartínUniversidad Politécnica de ValenciaVerified email at itaca.upv.es
Alon OvedAI Research Scientist at IBMVerified email at ibm.com
Marta VarelaImperial College LondonVerified email at imperial.ac.uk
Marvin EisenbergerPhD Student, Technische Universität MünchenVerified email at in.tum.de
Christian KahleUniversity of Koblenz, GermanyVerified email at uni-koblenz.de

Elisabeth Ullmann

Technical University of Munich

Verified email at tum.de - Homepage

Uncertainty Quantification Scientific Computing Numerical Analysis Applied Mathematics


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On the convergence of generalized polynomial chaos expansions OG Ernst, A Mugler, HJ Starkloff, E Ullmann ESAIM: Mathematical Modelling and Numerical Analysis 46 (2), 317-339, 2012	563	2012
Further analysis of multilevel Monte Carlo methods for elliptic PDEs with random coefficients AL Teckentrup, R Scheichl, MB Giles, E Ullmann Numerische Mathematik 125, 569-600, 2013	264	2013
Computational aspects of the stochastic finite element method M Eiermann, OG Ernst, E Ullmann Computing and visualization in science 10 (1), 3-15, 2007	138	2007
Stochastic Galerkin matrices OG Ernst, E Ullmann SIAM Journal on Matrix Analysis and Applications 31 (4), 1848-1872, 2010	127	2010
Multilevel quasi-Monte Carlo methods for lognormal diffusion problems F Kuo, R Scheichl, C Schwab, I Sloan, E Ullmann Mathematics of Computation 86 (308), 2827-2860, 2017	108	2017
A Kronecker product preconditioner for stochastic Galerkin finite element discretizations E Ullmann SIAM Journal on Scientific Computing 32, 923-946, 2010	104	2010
Efficient solvers for a linear stochastic Galerkin mixed formulation of diffusion problems with random data OG Ernst, CE Powell, S David J, E Ullmann SIAM Journal on Scientific Computing 31 (2), 1424-1447, 2009	98	2009
Efficient iterative solvers for stochastic Galerkin discretizations of log-transformed random diffusion problems E Ullmann, HC Elman, OG Ernst SIAM Journal on Scientific Computing 34 (2), A659 - A682, 2012	92	2012
Multilevel Sequential Monte Carlo for Bayesian Inverse Problems J Latz, I Papaioannou, E Ullmann Journal of Computational Physics 368, 154-178, 2018	63	2018
Multilevel Monte Carlo analysis for optimal control of elliptic PDEs with random coefficients A Ahmad Ali, E Ullmann, M Hinze SIAM/ASA J. Uncertainty Quantification 5 (1), 466 - 492, 2017	61	2017
Multilevel estimation of rare events E Ullmann, I Papaioannou SIAM/ASA J. Uncertainty Quantification 3 (1), 922-953, 2015	56	2015
Analysis of Boundary Effects on PDE-Based Sampling of Whittle--Matérn Random Fields U Khristenko, L Scarabosio, P Swierczynski, E Ullmann, B Wohlmuth SIAM/ASA Journal on Uncertainty Quantification 7 (3), 948-974, 2019	47	2019
EP-PINNs: Cardiac electrophysiology characterisation using physics-informed neural networks C Herrero Martin, A Oved, RA Chowdhury, E Ullmann, NS Peters, ... Frontiers in Cardiovascular Medicine 8, 768419, 2022	46	2022
Solution strategies for stochastic finite element discretizations E Ullmann	44	2008
Preconditioning Stochastic Galerkin Saddle Point Problems CE Powell, E Ullmann Preprint 31, 2009	43	2009
On multilevel best linear unbiased estimators D Schaden, E Ullmann SIAM/ASA J. Uncertainty Quantification 8 (2), 601 - 635, 2020	40	2020
Preconditioning stochastic Galerkin saddle point systems CE Powell, E Ullmann SIAM Journal on Matrix Analysis and Applications 31 (5), 2813-2840, 2010	40	2010
Mixed Finite Element analysis of lognormal diffusion and multilevel Monte Carlo methods IG Graham, R Scheichl, E Ullmann Stochastic Partial Differential Equations: Analysis and Computations, 2015	30	2015
Fast sampling of parameterised Gaussian random fields J Latz, M Eisenberger, E Ullmann Computer Methods in Applied Mechanics and Engineering 348, 978-1012, 2019	28	2019
Multilevel sequential importance sampling for rare event estimation F Wagner, J Latz, I Papaioannou, E Ullmann SIAM Journal on Scientific Computing 42 (4), A2062–A2087, 2020	27	2020

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