Lukas Herrmann

18 papers C 1Journal 16Unranked 1

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