Publikationen des Jahres 2024

Zeitschriftenartikel (28)

1. C. Arndt, S. Dittmer, N. Heilenkötter, M. Iske, T. Kluth, J. Nickel.
   Bayesian view on the training of invertible residual networks for solving linear inverse problems.
   Inverse Problems, 40 045021 40(4), IOPscience, 2024.

   DOI: 10.1088/1361-6420/ad2aaa
   online unter: https://www.x-mol.net/paper/article/1682514725633245184

2. S. Banert, O. Öktem, J. Adler, J. Rudzusika.
   Accelerated Forward-Backward Optimization using Deep Learning.
   SIAM Journal on Optimization, 34(2), 2024.

   DOI: 10.1137/22M1532548
   online unter: https://arxiv.org/abs/2105.05210

3. M. Beckmann, A. Bhandari, M. Iske.
   Fourier-Domain Inversion for the Modulo Radon Transform.
   IEEE Transactions on Computational Imaging, 10, 2024.

   online unter: https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10499837

4. M. Beckmann, N. Heilenkötter.
   Equivariant Neural Networks for Indirect Measurements.
   SIAM Journal on Mathematics of Data Science, 6(3), 2024.

   DOI: 10.1137/23M1582862
   online unter: https://epubs.siam.org/doi/10.1137/23M1582862

5. P. Berenbrink, M. Hoefer, D. Kaaser, P. Lenzner, M. Rau, D. Schmand.
   Asynchronous opinion dynamics in social networks.
   Distributed Computing, 37:207-224, 2024.
   (previously at AAMAS 2022)

   DOI: 10.1007/s00446-024-00467-3

6. N. Bertschinger, M. Hoefer, D. Schmand.
   Flow Allocation Games.
   Mathematics of Operations Research, :1-22, 2024.
   (previously at ITCS 2020)

   DOI: 10.1287/moor.2022.0355

7. C. Brauer, N. Breustedt, T. de Wolff, D. Lorenz.
   Learning variational models with unrolling and bilevel optimization.
   Analysis and Applications, 22(3):569-617, World Scientific, 2024.

   DOI: 10.1142/S0219530524400037
   online unter: https://arxiv.org/abs/2209.12651

8. B. Denkena, T. Suhrmann, A. Schmidt, S. Friebe, M. Adili.
   Rattern reduzieren durch NC- und FE-Simulation.
   wt Werkstattstechnik online, 1:21-27, 2024.

   DOI: 10.37544/1436–4980–2024–01–02–23

9. A. Denker, Z. Kereta, I. Singh, T. Freudenberg, T. Kluth, B. Maass, S. Arridge.
   Data-driven approaches for electrical impedance tomography image segmentation from partial boundary data.
   Applied Mathematics for Modern Challenges, 2(2):119-139, 2024.

   DOI: 10.3934/ammc.2024005

10. O. Dorn, Y. Zhong, D. Lesselier.
    New trends in electromagnetic inverse problems.
    Inverse Problems, 40 120201 40(12), IOPscience, 2024.

    DOI: 10.1088/1361-6420/ad98bd

11. M. Eden, T. Freudenberg.
    Effective Heat Transfer Between a Porous Medium and a Fluid Layer: Homogenization and Simulation.
    Multiscale Modeling & Simulation: A SIAM interdisciplinary journal, 22(2):752-783, 2024.

    DOI: 10.1137/22M154179

12. D. Erzmann, S. Dittmer.
    Equivariant Neural Operators for gradient-Consistent Topology Optimization .
    Journal of Computational Design and Engineering, 11(3):91-100, 2024.

    DOI: 10.1093/jcde/qwae039

13. M. Flatken, S. Schneegans, R. Fellegara, A. Gerndt.
    Immersive and Interactive 3D Visualization of Large-scale Geo-scientific Data.
    PRESENCE: Virtual and Augmented Reality, 33: 57–76, July 2024, , 2024.

    online unter: https://elib.dlr.de/209896/

14. T. Freudenberg, M. Eden.
    Homogenization and simulation of heat transfer through a thin grain layer.
    Networks and Heterogeneous Media, 19(2):569-596, 2024.

    DOI: 10.3934/nhm.2024025

15. R. Gower, D. Lorenz, M. Winkler.
    A Bregman-Kaczmarz method for nonlinear systems of equations.
    Computational Optimization and Applications, 87:1059-1098, 2024.

    DOI: 10.1007/s10589-023-00541-9
    online unter: https://arxiv.org/abs/2303.08549

16. A. Hackenberg, L. Kappertz, S. Rapol, V. Solovievskyi, C. Büskens.
    Optimal dimensioning of renewable energy generation and storage systems.
    Energy Conversion and Management: X, Open access 24, Elsevier, 2024.

    DOI: 10.1016/j.ecmx.2024.100773

17. M. Hoefer, K. Schewior, D. Schmand.
    Stochastic Probing with Increasing Precision.
    SIAM Journal on Discrete Mathematics, 28(1):148-169, SIAM, 2024.
    (previously at IJCAI 2021)

    DOI: 10.1137/22M149466X

18. M. Höffmann, S. Patel, C. Büskens.
    Optimal guidance track generation for precision agriculture: A review of coverage path planning techniques.
    Journal of Field Robotics, Wiley Online Library, , Wiley, 2024.

    DOI: 10.1002/rob.22286

19. P. Jansen, J. Le Clerc Arrastia, D. Otero Baguer, M. Schmidt, J. Landsberg, J. Wenzel, M. Emberger, D. Schadendorf, E. Hadaschik, P. Maaß, K. G. Griewank.
    Deep learning based histological classification of adnex tumors.
    European Journal of Cancer, 113431 196, 2024.

    DOI: 10.1016/j.ejca.2023.113431

20. J. Langhorst, K. W. Chan, C. Meerpohl, C. Büskens.
    Computing Safe Stop Trajectories for Autonomous Driving Utilizing Clustering and Parametric Optimization.
    MDPI Open Access Journals Vehicles, 6(2):590-610, 2024.

    online unter: https://www.mdpi.com/2624-8921/6/2/27

21. D. Lorenz, J. Marquardt, E. Naldi.
    The degenerate variable metric proximal point algorithm and adaptive stepsizes for primal-dual Douglas-Rachford.
    Optimization, :1-27, Taylor & Francis, 2024.

    DOI: 10.1080/02331934.2024.2325552
    online unter: https://arxiv.org/abs/2302.13128

22. J. G. Maaß, R. Herdt, L. Kinzel, M. Walther, H. Fröhlich, T. Schubert, C. Schaaf, P. Maaß.
    Enhancing the analysis of murine neonatal ultrasonic vocalizations: Development, evaluation, and application of different mathematical models.
    The Journal of the Acoustical Society of America, 156(4):2448-2466, 2024.

    DOI: 10.1121/10.0030473

23. D. Nganyu Tanyu, I. Michel, A. Rademacher, J. Kuhnert, P. Maaß.
    Parameter Identification by Deep Learning of a Material Model for Granular Media.
    GEM -- International Journal on Geomathematics, 15(13), 2024.

    DOI: 10.1007/s13137-024-00253-0
    online unter: https://arxiv.org/abs/2307.04166

24. T. Oosterwijk, D. Schmand, M. Schröder.
    Bicriteria Nash Flows over Time.
    Games and Economic Behavior, 147:19-37, 2024.
    (previously at WINE 2022)

    DOI: 10.1016/j.geb.2024.06.002

25. B. Schmitz, C. Eis, H. J. Bünger, C. Büskens.
    Estimation of travel time reduction for ice-breaking ships when considering ice information data.
    Annals of Glaciology, First View :pp. 1 - 11, Cambridge University Press, 2024.

    DOI: 10.1017/aog.2024.28

26. S. Schneegans, T. Meyran, I. Ginkel, G. Zachmann, A. Gerndt.
    Physically Based Real-Time Rendering of Atmospheres using Mie Theory.
    Computer Graphics Forum, 43(2), 2024.

    online unter: https://elib.dlr.de/204028/

27. L. Tondji, I. Necoara, D. Lorenz.
    Acceleration and restart for the randomized Bregman-Kaczmarz method.
    Linear Algebra and its Applications, 699:508-538, 2024.

    DOI: 10.1016/j.laa.2024.07.009
    online unter: https://arxiv.org/abs/2310.17338

28. L. Tondji, I. Tondji, D. Lorenz.
    Adaptive Bregman-Kaczmarz: An approach to solve linear inverse problems with independent noise exactly.
    Inverse Problems, 40(9), 095006, IOPscience, 2024.

    DOI: 10.1088/1361-6420/ad5fb1
    online unter: https://arxiv.org/abs/2309.06186