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

Tagungsbeiträge (16)

1. A. Bahnmüller, C. Peters, P. M. Fischer, A. Gerndt, G. Albuquerque.
   Using Augmented Reality for Collaborative Concurrent Engineering.
   IEEE Aerospace Conference, 02.03.-09.03.2024, Big Sky, MT, USA.
   

   online unter: https://elib.dlr.de/206180/

2. L. Bensch, T. Nilsson, J. Wulkop, P. Demedeiros, N. D. Herzberger, M. Preutenborbeck, A. Gerndt, F. Flemisch, F. Dufresne, G. Albuquerque, A. Cowley.
   Designing for Human Operations on the Moon: Challenges and Opportunities of Navigational HUD Interfaces.
   CHI Conference on Human Factors in Computing Systems (CHI'24), 11.05.-16.05.2024, Honolulu, HI, USA.
   

   online unter: https://elib.dlr.de/211499/

3. P. Chrszon, A. Donner, M. Edelhäuser, L. A. J. Garcia, R. Uebelacker, P. M. Fischer, A. Gerndt.
   Executable Behavioral Models in Model-based Systems Engineering using Capella.
   Model-Based Space Systems and Software Engineering (MBSE2024), May 28-29, 2024, Bremen, Deutschland.
   

   online unter: https://elib.dlr.de/206556/

4. P. Chrszon, P. Maurer, G. Saleip, S. Müller, P. M. Fischer, A. Gerndt, M. Felderer.
   Applicability of Model Checking for Verifying Spacecraft Operational Designs.
   Modellierung 24, 12.03.-15.03.2024, Potsdam, Deutschland.
   

   online unter: https://elib.dlr.de/205346/

5. A. Constantinescu, P. Lenzner, R. Reiffenhäuser, D. Schmand, G. Varriccio.
   Solving Woeginger's Hiking Problem: Wonderful Partitions in Anonymous Hedonic Games.
   51st International Colloquium on Automata, Languages, and Programming (ICALP 2024).
   

   DOI: 10.4230/LIPIcs.ICALP.2024.48

6. E. Dierkes, L. Kappertz, V. Solovievskyi, A. Hackenberg, C. Büskens.
   Optimized Self-Consumption of Renewable Energies With Forecast-Based Energy Management for Agricultural Farms.
   GAMM 94th Annual Meeting of the International Association of Applied Mathematics and Mechanics, 01.12.2024, Magdeburg, Deutschland.
   

   DOI: 10.1002/pamm.202400068

7. D. Eller, P. M. Fischer, P. Chrszon, A. Gerndt.
   Towards a Cloud-native Tool for Model-based Systems Engineering of Spacecraft.
   Model-Based Space Systems and Software Engineering (MBSE2024), May 28-29, 2024, Bremen, Deutschland.
   

   online unter: https://elib.dlr.de/210426

8. P. Fernsel, Z. Kereta, A. Denker.
   Convergence Properties of Score-Based Models using Graduated Optimisation for Linear Inverse Problems.
   2024 IEEE 34th International Workshop on Machine Learning for Signal Processing (MLSP), 22.09.-25.09.2024, London, Großbritannien.
   IEEE, S. 1-6, 2024.

   DOI: 10.1109/MLSP58920.2024.10734770

9. P. M. Fischer, P. Chrszon, T. Franz, D. Quantius, O. Romberg, A. Gerndt.
   Explicit Product Structures for Concurrent Engineering.
   21st International Conference on Cooperative Design, Visualization, and Engineering, CDVE 2024, 15.09.-18.09.2024, Valencia, Spanien.
   

   online unter: https://elib.dlr.de/206850/

10. M. Grobler, S. Maaz, N. Megow, A. E. Mouawad, V. Ramamoorthi, D. Schmand, S. Siebertz.
    Solution Discovery via Reconfiguration for Problems in P.
    51st International Colloquium on Automata, Languages, and Programming (ICALP 2024).
    

    DOI: 10.4230/LIPIcs.ICALP.2024.76

11. D. Hauser, M. Beckmann, G. Koliander, H. S. Stiehl.
    On Image Processing and Pattern Recognition for Thermograms of Watermarks in Manuscripts - A First Proof-of-Concept.
    18th International Conference on Document Analysis and Recognition (ICDAR), 30.08.-04.09.2024.
    

    DOI: 10.1007/978-3-031-70543-4_6

12. R. Herdt, P. Maaß.
    Visualize and Paint GAN Activations.
    2024 IEEE 34th International Workshop on Machine Learning for Signal Processing (MLSP), 22.09.-25.09.2024, London, Großbritannien.
    IEEE, 2024.

    DOI: 10.1109/MLSP58920.2024.10734757

13. M. Höffmann, S. Roy, C. Wanigasekara, C. Büskens.
    Sensitivity Analysis of Wind Affected Maneuverability of Tugboat-Controlled Ships.
    2024 IEEE SICE International Symposium on Control Systems (SICE ISCS), 18-20 March 2024 , Japan , Higashi-Hiroshima.
    

    DOI: 10.23919/SICEISCS60954.2024.10505760

14. L. Höyns, T. Kleiner, F. Kranz, T. Meyer, A. Rademacher, M. Wolovick, A. Humbert.
    On the Identification of the Basal Drag Parameter in Ice Sheet Models Using L-Curves.
    GAMM 94th Annual Meeting of the International Association of Applied Mathematics and Mechanics, 01.12.2024, Magdeburg, Deutschland.
    

    DOI: https://doi.org/10.1002/pamm.202400076

15. S. Patil, A. . Sellent, A. Gerndt, G. Albuquerque.
    Improved RGB-D Indoor Semantic Segmentation using Cascaded Loss Fusion.
    IEEE International Conference on Artificial Intelligence and Extended and Virtual Reality (AIxVR), 17.01.-19.01.2024, Los Angeles, USA.
    

    online unter: https://elib.dlr.de/210966/

16. T. Schürenberg, S. Feldmann.
    On the Min-Max Star Partitioning Number.
    Algorithmics of Wireless Networks, 05.09.-06.09.2024, London, Großbritannien.
    15026, 15026:61-75, Springer Verlag, 2024.

    DOI: 10.1007/978-3-031-74580-5_5
    online unter: https://link.springer.com/chapter/10.1007/978-3-031-74580-5_5

Qualifikationsarbeiten (8)

1. A. Denker.
   Invertible Neural Networks and Normalizing Flows for Image Reconstruction.
   Dissertationsschrift, Universität Bremen, 2024.

   DOI: 10.26092/elib/2921

2. D. . Dobrovolskij.
   3D image analysis and microstructure models for simulation of materials properties.
   Dissertationsschrift, Universität Bremen, 2024.

   DOI: 10.26092/elib/3052

3. D. Erzmann.
   Equivariant deep learning for 3D topology optimization.
   Dissertationsschrift, Universität Bremen, 2024.

   DOI: 10.26092/elib/3439

4. L. Kinzel.
   Unsupervised Deep Machine Learning Methods to Discriminate Icequakes in Seismological Data from Neumayer Station, Antarctica.
   Dissertationsschrift, Universität Bremen, 2024.

   DOI: 10.26092/elib/3013

5. D. Klosa.
   Evolutionary neural architecture search for the task of road traffic prediction.
   Dissertationsschrift, Universität Bremen, 2024.

   DOI: 10.26092/elib/3184

6. M. Runge.
   Online parameter identification for optimal feedback control of nonlinear dynamical systems.
   Dissertationsschrift, Universität Bremen, 2024.

   DOI: 10.26092/elib/2743

7. L. Tondji.
   Advances in Bregman-Kaczmarz Methods: Accelerations and Inconsistency.
   Dissertationsschrift, TU Braunschweig, 2024.
8. M. Winkler.
   The Bregman-Kaczmarz Method: Inconsistency, Acceleration and Nonlinearity.
   Dissertationsschrift, TU Braunschweig, 2024.

Preprints (9)

1. M. M. Alves, D. Lorenz, E. Naldi.
   A general framework for inexact splitting algorithms with relative errors and applications to Chambolle-Pock and Davis-Yin methods.
   Zur Veröffentlichung eingereicht.

   online unter: https://arxiv.org/abs/2407.05893

2. C. Arndt, J. Nickel.
   Invertible ResNets for inverse imaging problems: Competitive performance with provable regularization properties.
   Zur Veröffentlichung eingereicht.

   online unter: https://arxiv.org/abs/2409.13482

3. J. Bresch, D. Lorenz, F. Schneppe, M. Winkler.
   Matrix-free stochastic calculation of operator norms without using adjoints.
   Zur Veröffentlichung eingereicht.

   online unter: https://arxiv.org/abs/2410.08297

4. M. Eden, T. Freudenberg, A. Muntean.
   Precomputing approach for a two-scale phase transition model.
   Zur Veröffentlichung eingereicht.

   online unter: https://arxiv.org/abs/2407.21595

5. T. Freudenberg, M. Eden.
   Analysis and Simulation of a Coupled Fluid-Heat System in a Thin, Rough Layer.
   Zur Veröffentlichung eingereicht.

   online unter: https://arxiv.org/abs/2406.02150

6. R. Herdt, M. Schmidt, D. Otero Baguer, P. Maaß.
   Smooth Deep Saliency.
   Zur Veröffentlichung eingereicht.

   online unter: https://arxiv.org/abs/2404.02282

7. L. Höyns, T. Kleiner, A. Rademacher, M. Rückamp, M. Wolovick, A. Humbert.
   Improved basal drag of the West Antarctic Ice Sheet from L-curve analysis of inverse models utilizing subglacial hydrology simulations.
   Zur Veröffentlichung eingereicht.

   DOI: https://doi.org/10.5194/egusphere-2024-1251

8. X. Li, S. Patel, C. Büskens.
   Let Hybrid A* Path Planner Obey Traffic Rules: A Deep Reinforcement Learning-Based Planning Framework.
   Zur Veröffentlichung eingereicht.

   DOI: 10.48550/arXiv.2407.01216

9. D. Lorenz, M. Winkler, A. Leitão, J. C. Rabelo.
   On inertial Levenberg-Marquardt type methods for solving nonlinear ill-posed operator equations.
   Zur Veröffentlichung eingereicht.

   online unter: https://arxiv.org/abs/2406.07044