- 2021
- 698.S. M. Treibert, H. Brunner and M. Ehrhardt, "A Nonstandard Finite Difference Scheme for the SVICDR model to predict COVID-19 dynamics" , 2021.
- 697.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.
- 696.M. Sugiyama, J. B. Schroder, B. S. Southworth and S. Friedhoff, "Weighted Relaxation for Multigrid Reduction in Time" , 2021.
- 695.D. Brüggemann, R. Chan, H. Gottschalk and S. Bracke, "Software architecture for human-centered reliability assessment for neural networks in autonomous driving" , 2021.
- 694.K. Maag, "False Negative Reduction in Video Instance Segmentation using Uncertainty Estimates" in 2021 IEEE 33rd International Conference on Tools with Artificial Intelligence (ICTAI), 2021, pp. 1279--1286.
- 693.A. Clevenhaus and M. Ehrhardt, "A parallel Sparse Grid Combination Technique using the Parareal Algorithm" , 2021.
- 692.J. Jäschke, M. Ehrhardt and B. Jacob, "Discrete port-Hamiltonian Coupled Heat Transfer" , 2021.
- 691.T. Kossacká and M. Ehrhardt, "A Neural Network Enhanced WENO Method for Nonlinear Degenerate Parabolic Equations" , 2021.
- 690.M. Muniz and M. Ehrhardt, "Correlation Matrices driven by Stochastic Isospectral Flows" , 2021.
- 689.A. Clevenhaus and M. Ehrhardt, "The Parareal Algorithm and the Sparse Grid Combination Technique in the Application of the Heston Model" , 2021.
- 688.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.
- 687.M. Muniz, M. Ehrhardt and R. Winkler, "Stochastic Runge-Kutta–Munthe-Kaas methods in the modelling of perturbed rigid bodies" , 2021.
- 686.B. Jacob and H. Zwart, "Observability for port-Hamiltonian systems", European Control Conference (ECC), no. Preprint imacm_21_11, 2021.
- 685.B. Jacob and N. Skrepek, "Stability of the multidimensional wave equation in port-Hamiltonian modelling" in 60th IEEE Conference on Decision and Control (CDC), Austin, 2021, pp. 6188-6193.
- 684.M. Felpel, K. J. and T. A. McWalter, "Effective Markovian Projection: Application to CMS Spread Options and Mid-Curve Swaptions" , 2021.
- 683.D. Gaul, K. Klamroth and M. Stiglmayr, "Event-based MILP models for ride-hailing applications" , 2021.
- 682.M. Günther and A. Sandu, "Multirate Linearly-Implicit Gark Schemes" , 2021.
- 681.K. K. Sabirov, J. R. Yusupov, M. M. Aripov, M. Ehrhardt and D. U. Matrasulov, "Reflectionless propagation of Manakov solitons on a line: A model based on the concept of transparent boundary conditions" , 2021.
- 680.M. W. F. M. Bannenberg, A. Ciccazzo and M. Günther, "Reduced Order Multirate Schemes for Coupled Differential-Algebraic Systems" , 2021.
- 679.M. Muniz, M. Ehrhardt, M. Günther and R. Winkler, "Higher Strong Order Methodsfor Itô SDEs on Matrix Lie Groups" , 2021.
- 678.T. Schäfers and L. Teng, "Asymmetry in stochastic volatility models with threshold and time-dependent correlation" , 2021.
- 677.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.
- 676.M. Burger, L. M. Kreusser and C. Totzeck, "Mean-field optimal control for biological pattern formation", ESAIM COCV, vol. 27, no. 40, 2021.
- 675.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.
- 674.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.
- 673.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.
- 672.K. Klamroth, M. Stiglmayr and J. Sudhoff, "Multi-objective Matroid Optimization with Ordinal Weights", math.OC, vol. arXiv:2109.13804, 2021.
- 671.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.
- 670.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.
- 669.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.
- 668.J. Backhaus, M. Bolten, O. T. Doganay, M. Ehrhardt, B. Engel, C. Frey, H. Gottschalk, M. Günther, C. Hahn, J. Jäschcke, P. Jaksch, K. Klamroth, A. Liefke, D. Luft, L. Mäde, V. Marciniak, M. Reese, J. Schultes, V. Schulz, S. Schmitz, J. Steiner and M. Stiglmayr, "GivEn - Shape Optimization for Gas Turbines in Volatile Energy Networks" in Mathematical MSO for Power Engineering and Management, S. Goettlich, M. Herty and A. Milde, Eds. Springer Berlin/Heidelberg, 2021.
- 667.D. Gaul, K. Klamroth and M. Stiglmayr, "Event-based MILP models for ridepooling applications", European Journal of Operational Research, 2021.
- 666.M. Stiglmayr, J. R. Figueira, K. Klamroth, L. Paquete and B. Schulze, "Decision Space Robustness for Multiobjective Integer Linear Programming", Annals of Operations Research, 2021.
- 665.L. Paquete, B. Schulze, M. Stiglmayr and A. C. Lourenço, "Computing Representations using Hypervolume Scalarizations", Computers and Operations Research, 2021.
- 664.D. Gaul and D. R. Schmidt, "Chvátal-Gomory cuts for the Steiner tree problem", Discrete Applied Mathematics, vol. 291, pp. 188-200, 2021.
- 663.T. Schnepper, K. Klamroth, J. Puerto and M. Stiglmayr, "A Local Analysis to Determine All Optimal Solutions of p-k-max Location Problems on Networks", Discrete Applied Mathematics, vol. 296, pp. 217-234, 2021.
- 662.M. Puschmann, D. Hernangómez-Pérez, B. Lang, S. Bera and F. Evers, "Quartic Multifractality and Finite-Size Corrections at the Spin Quantum Hall Transition", Phys. Rev. B, vol. 103, pp. 235167:1-16, 2021.
- 661.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.
- 660.P. R. Bähr, B. Lang, P. Ueberholz, M. Ady and R. Kersevan, "Development of a hardware-accelerated simulation kernel for ultra-high vacuum with Nvidia RTX GPUs", Int. J. High Perform. Comput. Appl., vol. OnlineFirst, 2021.
- 659.M. Stiglmayr and D. Gaul, "Projekt Ride-Hailing Wuppertal" in Erfolgsformeln -- Anwendungen der Mathematik, Matthias Ehrhardt and Michael Günther and Wil Schilders, Eds. 2021.
- 658.H. Gottschalk, M. Saadi and S. Schmitz,Method for operating a component that is cyclically loaded during operation, 2021.
- 657.H. Gottschalk and M. Reese, "An analytical study in multi-physics and multi-criteria shape optimization", Journal of Optimization Theory and Applications, vol. 189, no. 2, pp. 486--512, 2021. Springer.
- 656.T. Beck, H. Gottschalk, R. Krause, G. Rollmann, S. Schmitz and L. Mäde, "From Probabilistic Prediction of Fatigue Life to a New Design Approach for Gas Turbines" in Erfolgsformeln -- Anwendungen der Mathematik, Matthias Ehrhardt and Michael Günther and Wil Schilders, Eds. Springer, 2021, pp. 1--6.
- 655.D. Brüggemann, S. Bracke, H. Gottschalk, M. Rottmann, K. Maag, R. Chan and M. Schubert, "Ansätze zur Verbesserung KI-basierter Systeme für das autonome Fahren" in Qualitätsmanagement in den 20er Jahren-Trends und Perspektiven, Springer, 2021, pp. 100--119.
- 654.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
- 653.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
- 652.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.
- 651.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.
- 650.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.
- 649.A. Frommer, K. Kahl, F. Knechtli, M. Rottmann, A. Strebel and I. Zwaan, "A multigrid accelerated eigensolver for the Hermitian Wilson--Dirac operator in lattice QCD", Computer Physics Communications, vol. 258, pp. 107615, 2021. Elsevier.
zuletzt bearbeitet am: 24.06.2022
