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Prof. Dr.  Bodo Rosenhahn

https://orcid.org/0000-0003-3861-1424
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Publications

  1. 2024
  2. Published

    Robust Shape Fitting for 3D Scene Abstraction

    Kluger, F., Brachmann, E., Yang, M. Y. & Rosenhahn, B., Sept 2024, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 46, 9, p. 6306-6325 20 p.

    Research output: Contribution to journal › Article › Research › peer review

  3. Published

    A variational autoencoder trained with priors from canonical pathways increases the interpretability of transcriptome data

    Liu, B., Rosenhahn, B., Illig, T. & DeLuca, D. S., 3 Jul 2024, In: PLoS Computational Biology. 20, 7 , 22 p., e1011198.

    Research output: Contribution to journal › Article › Research › peer review

  4. Published

    PARSAC: Accelerating Robust Multi-Model Fitting with Parallel Sample Consensus

    Kluger, F. & Rosenhahn, B., 24 Mar 2024, Technical Tracks 14. Wooldridge, M., Dy, J. & Natarajan, S. (eds.). 3 ed. p. 2804-2812 9 p. (Proceedings of the AAAI Conference on Artificial Intelligence; vol. 38, no. 3).

    Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

  5. Published

    Q-SENN: Quantized Self-Explaining Neural Networks

    Norrenbrock, T., Rudolph, M. & Rosenhahn, B., 24 Mar 2024, In: Proceedings of the AAAI Conference on Artificial Intelligence. 38, 19, p. 21482-21491 10 p.

    Research output: Contribution to journal › Conference article › Research › peer review

  6. 2023
  7. Published

    Monte Carlo graph search for quantum circuit optimization

    Rosenhahn, B. & Osborne, T. J., 19 Dec 2023, In: Physical Review A. 108, 6, 10 p., 062615.

    Research output: Contribution to journal › Article › Research › peer review

  8. Published

    Two Worlds in One Network: Fusing Deep Learning and Random Forests for Classification and Object Detection

    Reinders, C., Yang, M. Y. & Rosenhahn, B., 9 Dec 2023, Volunteered Geographic Information: Interpretation, Visualization and Social Context. Springer Nature, p. 103-130 28 p.

    Research output: Chapter in book/report/conference proceeding › Contribution to book/anthology › Research › peer review

  9. Published

    Optimization of Sparsity-Constrained Neural Networks as a Mixed Integer Linear Program: NN2MILP

    Rosenhahn, B., Dec 2023, In: Journal of Optimization Theory and Applications. 199, p. 931-954 24 p.

    Research output: Contribution to journal › Article › Research › peer review

  10. Published

    The voraus-AD Dataset for Anomaly Detection in Robot Applications

    Brockmann, J. T., Rudolph, M., Rosenhahn, B. & Wandt, B., 15 Nov 2023, In: IEEE transactions on robotics. 40, p. 438 - 451 14 p.

    Research output: Contribution to journal › Article › Research › peer review

  11. Published

    RelTR: Relation Transformer for Scene Graph Generation

    Cong, Y., Yang, M. Y. & Rosenhahn, B., 1 Sept 2023, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 45, 9, p. 11169 - 11183 15 p.

    Research output: Contribution to journal › Article › Research › peer review

  12. Published

    Markerless human pose estimation for biomedical applications: a survey

    Avogaro, A., Cunico, F., Rosenhahn, B. & Setti, F., 6 Jul 2023, In: Frontiers in Computer Science. 5, 1153160.

    Research output: Contribution to journal › Review article › Research › peer review

  13. Published

    Color-Aware Deep Temporal Backdrop Duplex Matting System

    Hachmann, H. & Rosenhahn, B., 8 Jun 2023, MMSys '23: Proceedings of the 14th Conference on ACM Multimedia Systems. p. 205-216 12 p.

    Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

  14. E-pub ahead of print

    Contextualize Me – The Case for Context in Reinforcement Learning

    Benjamins, C., Eimer, T., Schubert, F. G., Mohan, A., Döhler, S., Biedenkapp, A., Rosenhahn, B., Hutter, F. & Lindauer, M., 5 Jun 2023, (E-pub ahead of print) In: Transactions on Machine Learning Research. 2023, 6

    Research output: Contribution to journal › Article › Research › peer review

  15. Published

    Wor(l)d-GAN: Towards Natural Language Based PCG in Minecraft

    Awiszus, M., Schubert, F. & Rosenhahn, B., Jun 2023, In: IEEE Transactions on Games. 15, 2, p. 182-192 11 p.

    Research output: Contribution to journal › Article › Research › peer review

  16. Published

    POLTER: Policy Trajectory Ensemble Regularization for Unsupervised Reinforcement Learning

    Schubert, F., Benjamins, C., Döhler, S., Rosenhahn, B. & Lindauer, M., Apr 2023, In: Transactions on Machine Learning Research. 2023, 4

    Research output: Contribution to journal › Article › Research › peer review

  17. Published

    Mixed Integer Linear Programming for Optimizing a Hopfield Network

    Rosenhahn, B., 17 Mar 2023, Machine Learning and Knowledge Discovery in Databases : European Conference, ECML PKDD 2022, Grenoble, France, September 19–23, 2022, Proceedings, Part V. Amini, M-R., Canu, S., Fischer, A., Guns, T., Kralj Novak, P. & Tsoumakas, G. (eds.). Springer Science and Business Media Deutschland GmbH, p. 344-360 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13717 LNAI).

    Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

  18. Published

    AdaCC: cumulative cost-sensitive boosting for imbalanced classification

    Iosifidis, V., Papadopoulos, S., Rosenhahn, B. & Ntoutsi, E., Feb 2023, In: Knowledge and information systems. 65, 2, p. 789-826 38 p.

    Research output: Contribution to journal › Article › Research › peer review

  19. Published

    Asymmetric Student-Teacher Networks for Industrial Anomaly Detection

    Rudolph, M., Wehrbein, T., Rosenhahn, B. & Wandt, B., 2023, 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). p. 2591-2601 11 p.

    Research output: Chapter in book/report/conference proceeding › Conference contribution › Research

  20. Published

    Compensation Learning in Semantic Segmentation

    Kaiser, T., Reinders, C. & Rosenhahn, B., 2023, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops: CVPRW 2023. IEEE Computer Society, p. 3267-3278 12 p. (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops; vol. 2023-June).

    Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

  21. Published

    Deep Reinforcement Learning for Autonomous Driving using High-Level Heterogeneous Graph Representations

    Schier, M., Reinders, C. & Rosenhahn, B., 2023, 2023 IEEE International Conference on Robotics and Automation: ICRA. Institute of Electrical and Electronics Engineers Inc., p. 7147-7153 7 p. (Proceedings - IEEE International Conference on Robotics and Automation; vol. 2023-May).

    Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

  22. E-pub ahead of print

    Extended Abstract: Contextualize Me -- The Case for Context in Reinforcement Learning

    Benjamins, C., Eimer, T., Schubert, F. G., Mohan, A., Döhler, S., Biedenkapp, A., Rosenhahn, B., Hutter, F. & Lindauer, M., 2023, (E-pub ahead of print) The 16th European Workshop on Reinforcement Learning (EWRL 2023).

    Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

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