| Quasi--Monte Carlo integration for affine-parametric, elliptic PDEs: Local supports and product weights RN Gantner, L Herrmann, C Schwab SIAM Journal on Numerical Analysis 56 (1), 111-135, 2018 | 31* | 2018 |
| QMC integration for lognormal-parametric, elliptic PDEs: local supports and product weights L Herrmann, C Schwab Numerische Mathematik 141 (1), 63-102, 2019 | 18 | 2019 |
| Multilevel quasi-Monte Carlo integration with product weights for elliptic PDEs with lognormal coefficients L Herrmann, C Schwab ESAIM: Mathematical Modelling and Numerical Analysis 53 (5), 1507-1552, 2019 | 16 | 2019 |
| Multilevel QMC with product weights for affine-parametric, elliptic PDEs RN Gantner, L Herrmann, C Schwab Contemporary Computational Mathematics-A Celebration of the 80th Birthday of …, 2018 | 14* | 2018 |
| Numerical analysis of lognormal diffusions on the sphere L Herrmann, A Lang, C Schwab Stochastics and Partial Differential Equations: Analysis and Computations 6 …, 2018 | 13* | 2018 |
| Deep Neural Network Expression of Posterior Expectations in Bayesian PDE Inversion L Herrmann, C Schwab, J Zech Inverse Problems, 2020 | 8* | 2020 |
| Strong convergence analysis of iterative solvers for random operator equations L Herrmann Calcolo 56 (4), 46, 2019 | 6 | 2019 |
| Multilevel quasi-Monte Carlo uncertainty quantification for advection-diffusion-reaction L Herrmann, C Schwab International Conference on Monte Carlo and Quasi-Monte Carlo Methods in …, 2018 | 6* | 2018 |
| QMC algorithms with product weights for lognormal-parametric, elliptic PDEs L Herrmann, C Schwab International Conference on Monte Carlo and Quasi-Monte Carlo Methods in …, 2016 | 6* | 2016 |
| Quasi-Monte Carlo integration in uncertainty quantification for PDEs with log-Gaussian random field inputs L Herrmann ETH Zurich, 2019 | 4 | 2019 |
| Multilevel approximation of Gaussian random fields: Fast simulation L Herrmann, K Kirchner, C Schwab Mathematical Models and Methods in Applied Sciences 30 (1), 181-223, 2020 | 3 | 2020 |
| Quasi-Monte Carlo Bayesian estimation under Besov priors in elliptic inverse problems L Herrmann, M Keller, C Schwab SAM Research Report 2019, 2019 | 3 | 2019 |
| Uncertainty quantification for spectral fractional diffusion: Sparsity analysis of parametric solutions L Herrmann, C Schwab, J Zech SIAM/ASA Journal on Uncertainty Quantification 7 (3), 913-947, 2019 | 3 | 2019 |
| Isotropic random fields on the sphere–stochastic heat equation and regularity of random elliptic PDEs L Herrmann Master's thesis, ETH Zürich, 2013 | 3* | 2013 |
| Deep neural network approximation for high-dimensional elliptic PDEs with boundary conditions P Grohs, L Herrmann arXiv preprint arXiv:2007.05384, 2020 | 2 | 2020 |
Christoph SchwabProfessor for Mathematics, ETH ZurichVerified email at math.ethz.ch
