Lukas Herrmann

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 16

Top Topics

Transformation Matrix

Top Venues

SIAM/ASA J. Uncertain. Quantification

SIAM J. Numer. Anal.

J. Comput. Appl. Math.

Publications

Behzad Azmi, Lukas Herrmann, Karl Kunisch
Analysis of RHC for Stabilization of Nonautonomous Parabolic Equations Under Uncertainty. SIAM J. Control. Optim. 62 (1) (2024)
Josef Dick, Adrian Ebert, Lukas Herrmann, Peter Kritzer, Marcello Longo
The fast reduced QMC matrix-vector product. J. Comput. Appl. Math. 440 (2024)
Lukas Herrmann, Christoph Schwab, Jakob Zech
Neural and spectral operator surrogates: unified construction and expression rate bounds. Adv. Comput. Math. 50 (4) (2024)
Josef Dick, Adrian Ebert, Lukas Herrmann, Peter Kritzer, Marcello Longo
The fast reduced QMC matrix-vector product. CoRR (2023)
Pavol Harár, Lukas Herrmann, Philipp Grohs, David Haselbach
FakET: Simulating Cryo-Electron Tomograms with Neural Style Transfer. CoRR (2023)
Lukas Herrmann, Joost A. A. Opschoor, Christoph Schwab
Constructive Deep ReLU Neural Network Approximation. J. Sci. Comput. 90 (1) (2022)
Lukas Herrmann, Roland Boumann, Mario Lehmann, Samuel Müller, Tobias Bruckmann
Simulation-Based Comparison of Novel Automated Construction Systems. Robotics 11 (6) (2022)
Lukas Herrmann, Christoph Schwab, Jakob Zech
Neural and gpc operator surrogates: construction and expression rate bounds. CoRR (2022)
Philipp Grohs, Lukas Herrmann
Deep neural network approximation for high-dimensional parabolic Hamilton-Jacobi-Bellman equations. CoRR (2021)
Lukas Herrmann, Magdalena Keller, Christoph Schwab
Quasi-Monte Carlo Bayesian estimation under Besov priors in elliptic inverse problems. Math. Comput. 90 (330) (2021)
Helmut Harbrecht, Lukas Herrmann, Kristin Kirchner, Christoph Schwab
Multilevel approximation of Gaussian random fields: Covariance compression, estimation and spatial prediction. CoRR (2021)
Philipp Grohs, Lukas Herrmann
Deep neural network approximation for high-dimensional elliptic PDEs with boundary conditions. CoRR (2020)
Lukas Herrmann, Tobias Bruckmann, Markus Bröcker, Dieter Schramm
Development of a Dynamic Electronic Speed Controller for Multicopters. ECC (2019)
Lukas Herrmann, Christoph Schwab
QMC integration for lognormal-parametric, elliptic PDEs: local supports and product weights. Numerische Mathematik 141 (1) (2019)
Lukas Herrmann, Christoph Schwab, Jakob Zech
Uncertainty Quantification for Spectral Fractional Diffusion: Sparsity Analysis of Parametric Solutions. SIAM/ASA J. Uncertain. Quantification 7 (3) (2019)
Robert N. Gantner, Lukas Herrmann, Christoph Schwab
Quasi-Monte Carlo Integration for Affine-Parametric, Elliptic PDEs: Local Supports and Product Weights. SIAM J. Numer. Anal. 56 (1) (2018)