Lukas Herrmann

According to our database, Lukas Herrmann authored at least 16 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Multilevel approximation of Gaussian random fields: Covariance compression, estimation, and spatial prediction.

Helmut Harbrecht, Lukas Herrmann, Kristin Kirchner, Christoph Schwab

Adv. Comput. Math., October, 2024

Neural and spectral operator surrogates: unified construction and expression rate bounds.

Lukas Herrmann, Christoph Schwab, Jakob Zech

Adv. Comput. Math., August, 2024

The fast reduced QMC matrix-vector product.

Josef Dick, Adrian Ebert, Lukas Herrmann, Peter Kritzer, Marcello Longo

J. Comput. Appl. Math., April, 2024

Analysis of RHC for Stabilization of Nonautonomous Parabolic Equations Under Uncertainty.

Behzad Azmi, Lukas Herrmann, Karl Kunisch

SIAM J. Control. Optim., February, 2024

Coherent Integration of Optical Flow for Track-Before-Detect Radar Detection.

Lukas Herrmann, Edmund Førland Brekke, Egil Eide

Proceedings of the 27th International Conference on Information Fusion, 2024

2023

FakET: Simulating Cryo-Electron Tomograms with Neural Style Transfer.

Pavol Harár, Lukas Herrmann, Philipp Grohs, David Haselbach

CoRR, 2023

2022

Simulation-Based Comparison of Novel Automated Construction Systems.

Lukas Herrmann, Roland Boumann, Mario Lehmann, Samuel Müller, Tobias Bruckmann

Robotics, 2022

Constructive Deep ReLU Neural Network Approximation.

Lukas Herrmann, Joost A. A. Opschoor, Christoph Schwab

J. Sci. Comput., 2022

Neural and gpc operator surrogates: construction and expression rate bounds.

Lukas Herrmann, Christoph Schwab, Jakob Zech

CoRR, 2022

2021

Quasi-Monte Carlo Bayesian estimation under Besov priors in elliptic inverse problems.

Lukas Herrmann, Magdalena Keller, Christoph Schwab

Math. Comput., 2021

Deep neural network approximation for high-dimensional parabolic Hamilton-Jacobi-Bellman equations.

Philipp Grohs, Lukas Herrmann

CoRR, 2021

2020

Deep neural network approximation for high-dimensional elliptic PDEs with boundary conditions.

Philipp Grohs, Lukas Herrmann

CoRR, 2020

2019

QMC integration for lognormal-parametric, elliptic PDEs: local supports and product weights.

Lukas Herrmann, Christoph Schwab

Numerische Mathematik, 2019

Uncertainty Quantification for Spectral Fractional Diffusion: Sparsity Analysis of Parametric Solutions.

Lukas Herrmann, Christoph Schwab, Jakob Zech

SIAM/ASA J. Uncertain. Quantification, 2019

Development of a Dynamic Electronic Speed Controller for Multicopters.

Lukas Herrmann, Tobias Bruckmann, Markus Bröcker, Dieter Schramm

Proceedings of the 17th European Control Conference, 2019

2018

Quasi-Monte Carlo Integration for Affine-Parametric, Elliptic PDEs: Local Supports and Product Weights.

Robert N. Gantner, Lukas Herrmann, Christoph Schwab

SIAM J. Numer. Anal., 2018