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ORCIDLukas Herrmann
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2020 – today
- 2024
[j10]Lukas Herrmann
, Christoph Schwab, Jakob Zech:
Neural and spectral operator surrogates: unified construction and expression rate bounds. Adv. Comput. Math. 50(4): 72 (2024)- [j9]Helmut Harbrecht, Lukas Herrmann, Kristin Kirchner, Christoph Schwab:
Multilevel approximation of Gaussian random fields: Covariance compression, estimation, and spatial prediction. Adv. Comput. Math. 50(5): 101 (2024) - [j8]Josef Dick, Adrian Ebert, Lukas Herrmann, Peter Kritzer, Marcello Longo:
The fast reduced QMC matrix-vector product. J. Comput. Appl. Math. 440: 115642 (2024) - [j7]Behzad Azmi, Lukas Herrmann, Karl Kunisch:
Analysis of RHC for Stabilization of Nonautonomous Parabolic Equations Under Uncertainty. SIAM J. Control. Optim. 62(1): 220-242 (2024) - [c2]Lukas Herrmann, Edmund Førland Brekke, Egil Eide:
Coherent Integration of Optical Flow for Track-Before-Detect Radar Detection. FUSION 2024: 1-6 - 2023
- [i6]Pavol Harár, Lukas Herrmann, Philipp Grohs, David Haselbach:
FakET: Simulating Cryo-Electron Tomograms with Neural Style Transfer. CoRR abs/2304.02011 (2023) - [i5]Josef Dick, Adrian Ebert, Lukas Herrmann, Peter Kritzer, Marcello Longo:
The fast reduced QMC matrix-vector product. CoRR abs/2305.11645 (2023) - 2022
- [j6]Lukas Herrmann, Joost A. A. Opschoor, Christoph Schwab:
Constructive Deep ReLU Neural Network Approximation. J. Sci. Comput. 90(1): 75 (2022) - [j5]Lukas Herrmann, Roland Boumann, Mario Lehmann, Samuel Müller, Tobias Bruckmann:
Simulation-Based Comparison of Novel Automated Construction Systems. Robotics 11(6): 119 (2022) - [i4]Lukas Herrmann, Christoph Schwab, Jakob Zech:
Neural and gpc operator surrogates: construction and expression rate bounds. CoRR abs/2207.04950 (2022) - 2021
- [j4]Lukas Herrmann, Magdalena Keller, Christoph Schwab:
Quasi-Monte Carlo Bayesian estimation under Besov priors in elliptic inverse problems. Math. Comput. 90(330): 1831-1860 (2021) - [i3]Helmut Harbrecht, Lukas Herrmann, Kristin Kirchner, Christoph Schwab:
Multilevel approximation of Gaussian random fields: Covariance compression, estimation and spatial prediction. CoRR abs/2103.04424 (2021) - [i2]Philipp Grohs, Lukas Herrmann:
Deep neural network approximation for high-dimensional parabolic Hamilton-Jacobi-Bellman equations. CoRR abs/2103.05744 (2021) - 2020
- [i1]Philipp Grohs, Lukas Herrmann:
Deep neural network approximation for high-dimensional elliptic PDEs with boundary conditions. CoRR abs/2007.05384 (2020)
2010 – 2019
- 2019
- [j3]Lukas Herrmann, Christoph Schwab, Jakob Zech:
Uncertainty Quantification for Spectral Fractional Diffusion: Sparsity Analysis of Parametric Solutions. SIAM/ASA J. Uncertain. Quantification 7(3): 913-947 (2019) - [j2]Lukas Herrmann, Christoph Schwab:
QMC integration for lognormal-parametric, elliptic PDEs: local supports and product weights. Numerische Mathematik 141(1): 63-102 (2019) - [c1]Lukas Herrmann, Tobias Bruckmann, Markus Bröcker, Dieter Schramm:
Development of a Dynamic Electronic Speed Controller for Multicopters. ECC 2019: 4010-4015 - 2018
- [j1]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): 111-135 (2018)
Coauthor Index
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last updated on 2024-12-10 20:50 CET by the dblp team
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