Institute of Mathematical Modelling, Analysis and Computational Mathematics

F. Klass, A. Gabbana and A. Bartel, "A Characteristic Boundary Condition for Multispeed Lattice Boltzmann Methods" , 2022.
C. Drygala, B. Winhart, F. Mare and H. Gottschalk, "Generative modeling of turbulence" , Physics of Fluids, vol. 34, no. 3, pp. 035114, 2022. AIP Publishing LLC.
S. Treibert and M. Ehrhardt, "A Physics-Informed Neural Network to Model COVID-19 Infection and Hospitalization Scenarios" , 2022.
M. Bolten, O. T. Doganay, H. Gottschalk and K. Klamroth, "Tracing locally Pareto optimal points by numerical integration" , SIAM Journal on Control and Optimization, vol. 59, no. 5, pp. 3302-3328, 2022.
S. Uhlemeyer, M. Rottmann and H. Gottschalk, "Towards Unsupervised Open World Semantic Segmentation" , CoRR, vol. abs/2201.01073, no. Preprint imacm_22_01, 2022.
B. Lang, "Space-Partitioned ND-Trees for the Dynamic Nondominance Problem" , IEEE Trans. Evol. Comput., vol. Early Access, 2022.
J. Jäschke, N. Skrepek and M. Ehrhardt, "Mixed-Dimensional Geometric Coupling of Port-Hamiltonian Systems" , 2022.
L. Agasthya, A. Bartel, L. Biferale, M. Ehrhardt and F. Toschi, "Lagrangian instabilities in thermal convection with stable temperature profiles" , 2022.
Z. Turarov and C. Totzeck, "Gradient-based parameter calibration of an anisotropic interaction model for pedestrian dynamics" , 2022.
J. Burghoff, R. Chan, H. Gottschalk, A. Muetze, T. Riedlinger, M. Rottmann and M. Schubert, "Uncertainty Quantification and Resource-Demanding Computer Vision Applications of Deep Learning" , CoRR, vol. abs/2205.14917, 2022.
S. Huber, Y. Futamura, M. Galgon, A. Imakura, B. Lang and T. Sakurai, "Flexible subspace iteration with moments for an effective contour integration-based eigensolver" , Numer. Linear Algebra Appl., vol. Early View, no. Preprint imacm_20_52, 2022.
P. Halffmann, L. Schäfer, K. Dächert, K. Klamroth and S. Ruzika, "Exact algorithms for multiobjective linear optimization problems with integer variables - a state of the art survey" , Journal of Multicriteria Decision Analysis, 2022.
P. Csomós, B. Farkas and B. Kovács, "Error estimates for a splitting integrator for semilinear boundary coupled systems" , 2022.
R. Chan, S. Uhlemeyer, M. Rottmann and H. Gottschalk, "Detecting and Learning the Unknown in Semantic Segmentation" , CoRR, vol. abs/2202.08700, no. Preprint imacm_22_05, 2022.
J. Espinoza-Valverde, A. Frommer, G. Ramirez-Hidalgo and M. Rottmann, "Coarsest-level improvements in multigrid for lattice QCD on large-scale computers" , CoRR, vol. abs/2205.09104, 2022.
J. Gorski, K. Klamroth and J. Sudhoff, "Biobjective optimization problems on matroids with binary costs" , Optimization, 2022.
Kowol, S. Bracke and H. Gottschalk, "A-Eye: Driving with the Eyes of AI for Corner Case Generation" , 2022.
M. Ehrhardt, S. Pereselkov, V. Kuz’kin, I. Kaznacheev and P. Rybyanets, "Experimental Observation and Theoretical Analysis of the Low-frequency Source Interferogram and Hologram in Shallow Water" , 2022.
P. Colling., L. Roese{-}Koerner., H. Gottschalk. and M. Rottmann., "MetaBox+: A New Region based Active Learning Method for Semantic Segmentation using Priority Maps" in Proceedings of the 10th International Conference on Pattern Recognition Applications and Methods - ICPRAM,, SciTePress, 2021. pp. 51-62.

ISBN: 978-989-758-486-2

B. Jacob and H. Zwart, "Observability for port-Hamiltonian systems" , 2021.
G. Eichfelder, K. Klamroth and J. Niebling, "Nonconvex constrained optimization by a filtering branch and bound" , Journal of Global Optimization, vol. 80, pp. 31-61, 2021.
M. Günther and A. Sandu, "Multirate Linearly-Implicit Gark Schemes" , 2021.
K. Klamroth, M. Stiglmayr and J. Sudhoff, "Multi-objective Matroid Optimization with Ordinal Weights" , math.OC, vol. arXiv:2109.13804, 2021.
H. Gottschalk, M. Saadi and S. Schmitz, Method for operating a component that is cyclically loaded during operation, 2021.
M. Schubert, K. Kahl and M. Rottmann, "Metadetect: Uncertainty quantification and prediction quality estimates for object detection" in 2021 International Joint Conference on Neural Networks (IJCNN), 2021. pp. 1--10.
S. Houben, S. Abrecht, M. Akila, A. Bar, F. Brockherde, P. Feifel, T. Fingscheidt, S. S. Gannamaneni, S. E. Ghobadi, A. Hammam and others, "Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety" , 2021.
M. Burger, L. M. Kreusser and C. Totzeck, "Mean-field optimal control for biological pattern formation" , ESAIM COCV, vol. 27, no. 40, 2021.
M. Burger, R. Pinnau, C. Totzeck and O. Tse, "Mean-field optimal control and optimality conditions in the space of probability measures" , SIAM Journal of Control and Optimization, vol. 59, no. 2, pp. 977-1006, 2021.
B. Jacob, J. Partington, S. Pott, E. Rydhe and F. Schwenninger, "Laplace-Carleson embeddings and infinity-norm admissibility" , 2021.
K. Maag, M. Rottmann, S. Varghese, F. Hüger, P. Schlicht and H. Gottschalk, "Improving video instance segmentation by light-weight temporal uncertainty estimates" in 2021 International Joint Conference on Neural Networks (IJCNN), 2021. pp. 1--8.
J. Schultes, M. Stiglmayr, K. Klamroth and C. Hahn, "Hypervolume Scalarization for Shape Optimization to Improve Reliability and Cost of Ceramic Components" , Optimization and Engineering, vol. 22, no. 2, pp. 1203-1231, 2021.
K. Kahl and B. Lang, "Hypergraph Edge Elimination---A Symbolic Phase for Hermitian Eigensolvers Based on Rank-1 Modifications" , Electron. Trans. Numer. Anal., vol. 54, pp. 51--67, 2021.
S. Goettlich and C. Totzeck, "Parameter calibration with stochastic gradient descent for interacting particle systems driven by neural networks" , Mathematics of Control, Signals, and Systems, vol. online, 2021.
B. Farkas, B. Nagy and S. G. Révész, "On the weighted Bojanov–Chebyshev Problem and the sum of translates method of Fenton" , 2021.
H. Gottschalk, N. Rothe and D. Siemssen, "Special cosmological models derived from the semiclassical Einstein equation on flat FLRW space-times" , General Relativity and Quantum Cosmology, vol. abs/2112.15050, no. Preprint imacm_22_02, 2021.
K. Maag, "Prediction Rating and Performance Improvement for Segmentation Networks by Time-Dynamic Uncertainty Estimates", Universität Wuppertal, Fakultät für Mathematik und Naturwissenschaften~…, 2021.
B. Jacob and N. Skrepek, "Stability of the multidimensional wave equation in port-Hamiltonian modelling" , 2021.
K. Kowol., M. Rottmann., S. Bracke. and H. Gottschalk., "YOdar: Uncertainty-based Sensor Fusion for Vehicle Detection with Camera and Radar Sensors" in Proceedings of the 13th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,, SciTePress, 2021. pp. 177-186.

ISBN: 978-989-758-484-8

M. Sugiyama, J. Schroder, B. Southworth and S. Friedhoff, "Weighted Relaxation for Multigrid Reduction in Time" , 2021.
J. Rosenzweig, E. Brito, H. Kobialka, M. Akila, N. M. Schmidt, P. Schlicht, J. D. Schneider, F. Hüger, M. Rottmann, S. Houben and others, "Validation of simulation-based testing: Bypassing domain shift with label-to-image synthesis" in 2021 IEEE Intelligent Vehicles Symposium Workshops (IV Workshops), 2021. pp. 182--189.
A. Clevenhaus and M. Ehrhardt, "The Parareal Algorithm and the Sparse Grid Combination Technique in the Application of the Heston Model" , 2021.
H. Gottschalk and D. Siemssen, "The cosmological semiclassical Einstein equation as an infinite-dimensional dynamical system" in Annales Henri Poincaré, 2021. pp. 3915--3964.
M. Muniz, M. Ehrhardt and R. Winkler, "Stochastic Runge-Kutta–Munthe-Kaas methods in the modelling of perturbed rigid bodies" , 2021.
T. Riedlinger, M. Rottmann, M. Schubert and H. Gottschalk, "Gradient-Based Quantification of Epistemic Uncertainty for Deep Object Detectors" , no. Preprint imacm_21_22, 2021.
M. Stiglmayr and D. Gaul, "Projekt Ride-Hailing Wuppertal" in Erfolgsformeln -- Anwendungen der Mathematik,Matthias Ehrhardt and Michael Günther and Wil Schilders, Eds. 2021.
J. Weissen, S. Goettlich and C. Totzeck, "Space mapping-based optimization with the macroscopic limit of interacting particle systems" , Optimization and Engineering, vol. online, 2021.
D. Gaul, K. Klamroth and M. Stiglmayr, "Solving the Dynamic Dial-a-Ride Problem Using a Rolling-Horizon Event-Based Graph" in 21st Symposium on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems (ATMOS 2021),M. Müller-Hannemann and F. Perea, Eds. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2021, pp. 8:1-8:16.
D. Brüggemann, R. Chan, H. Gottschalk and S. Bracke, "Software architecture for human-centered reliability assessment for neural networks in autonomous driving" , 2021.
R. Chan, K. Lis, S. Uhlemeyer, H. Blum, S. Honari, R. Siegwart, P. Fua, M. Salzmann and M. Rottmann, "SegmentMeIfYouCan: A Benchmark for Anomaly Segmentation" in Thirty-fifth Conference on Neural Information Processing Systems Datasets and Benchmarks Track (Round 2), 2021.
R. Chan, K. Lis, S. Uhlemeyer, H. Blum, S. Honari, R. Siegwart, P. Fua, M. Salzmann and M. Rottmann, "SegmentMeIfYouCan - A BENCHMARK FOR ANOMALY SEGMENTATION" , 2021.

zuletzt bearbeitet am: 24.06.2022

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