Lukas Herrmann

Orcid: 0000-0003-3402-6420

According to our database1, Lukas Herrmann authored at least 14 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
The fast reduced QMC matrix-vector product.
J. Comput. Appl. Math., April, 2024

Analysis of RHC for Stabilization of Nonautonomous Parabolic Equations Under Uncertainty.
SIAM J. Control. Optim., February, 2024

2023
FakET: Simulating Cryo-Electron Tomograms with Neural Style Transfer.
CoRR, 2023

2022
Simulation-Based Comparison of Novel Automated Construction Systems.
Robotics, 2022

Constructive Deep ReLU Neural Network Approximation.
J. Sci. Comput., 2022

Neural and gpc operator surrogates: construction and expression rate bounds.
CoRR, 2022

2021
Quasi-Monte Carlo Bayesian estimation under Besov priors in elliptic inverse problems.
Math. Comput., 2021

Deep neural network approximation for high-dimensional parabolic Hamilton-Jacobi-Bellman equations.
CoRR, 2021

Multilevel approximation of Gaussian random fields: Covariance compression, estimation and spatial prediction.
CoRR, 2021

2020
Deep neural network approximation for high-dimensional elliptic PDEs with boundary conditions.
CoRR, 2020

2019
QMC integration for lognormal-parametric, elliptic PDEs: local supports and product weights.
Numerische Mathematik, 2019

Uncertainty Quantification for Spectral Fractional Diffusion: Sparsity Analysis of Parametric Solutions.
SIAM/ASA J. Uncertain. Quantification, 2019

Development of a Dynamic Electronic Speed Controller for Multicopters.
Proceedings of the 17th European Control Conference, 2019

2018
Quasi-Monte Carlo Integration for Affine-Parametric, Elliptic PDEs: Local Supports and Product Weights.
SIAM J. Numer. Anal., 2018


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