Jakob Zech
Title
Cited by
Cited by
Year
Deep learning in high dimension: Neural network expression rates for generalized polynomial chaos expansions in UQ
C Schwab, J Zech
Analysis and Applications, 1-37, 2018
622018
Electromagnetic wave scattering by random surfaces: Shape holomorphy
C Jerez-Hanckes, C Schwab, J Zech
Mathematical Models and Methods in Applied Sciences 27 (12), 2229-2259, 2017
222017
Exponential ReLU DNN expression of holomorphic maps in high dimension
JAA Opschoor, C Schwab, J Zech
SAM Research Report 2019, 2019
202019
Convergence rates of high dimensional Smolyak quadrature
J Zech, C Schwab
ESAIM: Mathematical Modelling and Numerical Analysis 54 (4), 1259-1307, 2020
192020
Multilevel approximation of parametric and stochastic PDEs
J Zech, D Dũng, C Schwab
Mathematical Models and Methods in Applied Sciences 29 (09), 1753-1817, 2019
192019
Shape Holomorphy of the Stationary Navier--Stokes Equations
A Cohen, C Schwab, J Zech
SIAM Journal on Mathematical Analysis 50 (2), 1720-1752, 2018
152018
Domain uncertainty quantification in computational electromagnetics
R Aylwin, C Jerez-Hanckes, C Schwab, J Zech
SIAM/ASA Journal on Uncertainty Quantification 8 (1), 301-341, 2020
82020
Deep Neural Network Expression of Posterior Expectations in Bayesian PDE Inversion
L Herrmann, C Schwab, J Zech
Inverse Problems, 2020
7*2020
Sparse-grid approximation of high-dimensional parametric PDEs
J Zech
ETH Zurich, 2018
72018
A Posteriori Error Estimation of - Finite Element Methods for Highly Indefinite Helmholtz Problems
S Sauter, J Zech
SIAM Journal on Numerical Analysis 53 (5), 2414-2440, 2015
52015
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
32019
A posteriori error estimation of hp-DG finite element methods for highly indefinite Helmholtz problems
J Zech
master’s thesis, Inst. f. Mathematik, Unversität Zürich, 2014. http://www …, 2014
22014
Sparse approximation of triangular transports on bounded domains
J Zech, Y Marzouk
arXiv preprint arXiv:2006.06994, 2020
12020
Deep learning in high dimension: ReLU network Expression Rates for Bayesian PDE inversion
JAA Opschoor, C Schwab, J Zech
2020
High dimensional Smolyak quadrature
J Zech
NumPDE Summer Retreat, Disentis, Switzerland, 2017
2017
Shape holomorphy of the stationary Stokes and Navier-Stokes equation
J Zech
14th European Finite Element Fair, 2016
2016
Domain Uncertainty for Navier Stokes Equations
J Zech
SIAM Conference on Uncertainty Quantification (UQ 2016), 2016
2016
Nonlinear n-term approximation for the solution of the dirichlet problem
M Hansen, C Schwab, J Zech
2013
COMPUTATIONAL UNCERTAINTY QUANTIFICATION FOR ELECTROMAGNETIC WAVE SCATTERING BY RANDOM SURFACES
R AYLWIN, C JEREZ-HANCKES, C SCHWAB, J ZECH
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Articles 1–19