Publications

Articles (18)

  1. J. Clemens, T. Kluth, T. Reineking.
    β - SLAM: Simultaneous Localization an Grid Mapping with Beta Distributions.
    Information Fusion, 52:62-75, Elsevier, 2019.

    DOI: 10.1016/j.inffus.2018.11.005

  2. K. Schäfer, K. Flaßkamp, J. Fliege, C. Büskens.
    A Combined Homotopy-Optimization Approach to Parameter Identification for Dynamical Systems.
    Erscheint in PAMM

    DOI: 10.1002/pamm.201900266

  3. T. Kluth, B. Jin.
    Enhanced Reconstruction in Magnetic Particle Imaging by Whitening and Randomized SVD Approximation.
    Physics in Medicine and Biology, Article ID 125026 64(12), 2019.

    DOI: 10.1088/1361-6560/ab1a4f

  4. M. Westphal, W. Brannath.
    Evaluation of Multiple Prediction Models: A Novel View on Model Selection and Performance Assessment.
    Statistical Methods in Medical Research, , 2019.

    DOI: 10.1177/0962280219854487

  5. H. Haddar, A. Konschin.
    Factorization Method for Imaging a Local Perturbation in Inhomogeneous Periodic Layers from Far Field Measurements.
    Erscheint in Inverse Problems and Imaging
  6. S. Seo, A. Richter, A. Blechschmidt, I. Bougoudis, J. P. Burrows.
    First high-resolution BrO column retrievals from TROPOMI .
    Atmospheric Measurement Techniques, 12:2913-2932, 2019.

    DOI: 10.5194/amt-12-2913-2019

  7. K. Demertzis, L. Iliadis, I. Bougoudis.
    Gryphon: a semi-supervised anomaly detection system based on one-class evolving spiking neural network.
    Neural Computing and Applications, , Springer Verlag, 2019.

    DOI: 10.1007/s00521-019-04363-x

  8. A. Konschin, A. Lechleiter.
    Reconstruction of a Local Perturbation in Inhomogeneous Periodic Layers from Partial Near Field Measurements.
    Inverse Problems, 35(11), 32 pp., IOPscience, 2019.

    DOI: 10.1088/1361-6420/ab1c66

  9. K. Schäfer, K. Flaßkamp, C. Büskens.
    A Numerical Study of the Robustness of Transcription Methods for Parameter Identification Problems.
    PAMM, 18, 2018.

    DOI: 10.1002/pamm.201800101

  10. P. Fernsel, P. Maaß.
    A Survey on Surrogate Approaches to Non-negative Matrix Factorization.
    Vietnam Journal of Mathematics, 46(4):987-1021, Springer Verlag, 2018.

    DOI: 10.1007/s10013-018-0315-x

  11. J. Behrmann, C. Etmann, T. Boskamp, R. Casadonte, J. Kriegsmann, P. Maaß.
    Deep Learning for Tumor Classification in Imaging Mass Spectrometry.
    Bioinformatics, 34(7):1215-1223, Oxford University Press, 2018.

    DOI: 10.1093/bioinformatics/btx724

  12. T. Kluth.
    Mathematical models for magnetic particle imaging.
    Inverse Problems, Article ID 083001 34(8), 2018.

    DOI: 10.1088/1361-6420/aac535

  13. T. Kluth, B. Jin, G. Li.
    On the Degree of Ill-Posedness of Multi-Dimensional Magnetic Particle Imaging.
    Inverse Problems, Article ID 095006 34(9), 2018.

    DOI: 10.1088/1361-6420/aad015

  14. J. Leuschner, M. Schmidt, P. Fernsel, D. Lachmund, T. Boskamp, P. Maaß.
    Supervised Non-negative Matrix Factorization Methods for MALDI Imaging Applications.
    Bioinformatics, bty909 , 2018.

    DOI: 10.1093/bioinformatics/bty909

  15. K. Flaßkamp, K. Schäfer, C. Büskens.
    Variational Integrators for Parameter Identification of Mechanical Systems.
    PAMM, 18, 2018.

    DOI: 10.1002/pamm.201800284

  16. C. Bathke, T. Kluth, C. Brandt, P. Maaß.
    Improved image reconstruction in magnetic particle imaging using structural a priori information.
    International Journal on Magnetic Particle Imaging, Article ID 1703015, 3(1), 10 pages, 2017.

    DOI: 10.18416/ijmpi.2017.1703015

  17. T. Kluth, P. Maaß.
    Model uncertainty in magnetic particle imaging: Nonlinear problem formulation and model-based sparse reconstruction.
    International Journal on Magnetic Particle Imaging, Article ID 1707004 3(2), 10 pages, 2017.

    DOI: 10.18416/ijmpi.2017.1707004

  18. T. Gerken, A. Lechleiter.
    Reconstruction of a Time-dependent Potential from Wave Measurements.
    Inverse Problems, Article ID 094001 33(9), IOPscience, 2017.

    Ausgezeichnet als Highlight Paper

    DOI: 10.1088/1361-6420/aa7e07
    online at: http://iopscience.iop.org/article/10.1088/1361-6420/aa7e07

Proceedings (18)

  1. J. Jacobsen, J. Behrmann, R. Zemel, M. Bethge.
    Excessive Invariance Causes Adversarial Vulnerability.
    International Conference on Learning Representations (ICLR), 2019.

    online at: https://openreview.net/forum?id=BkfbpsAcF7

  2. J. Jacobsen, J. Behrmann, N. Carlini, F. Tramer, N. Papernot.
    Exploiting Excessive Invariance caused by Norm-Bounded Adversarial Robustness.
    SafeML Workshop, ICLR, 2019.

    online at: https://arxiv.org/abs/1903.10484

  3. M. Westphal, W. Brannath.
    Improving Model Selection by Employing the Test Data.
    36th International Conference on Machine Learning, 09.06.-15.06.2019, Los Angeles, USA.
    PMLR 97, pp. 6747-6756, 2019.

    online at: http://proceedings.mlr.press/v97/westphal19a.html

  4. J. Behrmann, W. Grathwohl, R. T. Chen, D. Duvenaud, J. Jacobsen.
    Invertible Residual Networks.
    International Conference on Machine Learning (ICML).
    Proceedings of Machine Learning Research, 97:573-582, 2019.

    Long Oral

    online at: http://proceedings.mlr.press/v97/behrmann19a.html

  5. C. Etmann, S. Lunz, P. Maaß, C. Schönlieb.
    On the Connection Between Adversarial Robustness and Saliency Map Interpretability.
    36th International Conference on Machine Learning, 09.06.-15.06.2019, Los Angeles, USA.
    PMLR 97, 97:1823-1832, 2019.

    online at: http://proceedings.mlr.press/v97/etmann19a.html

  6. R. T. Chen, J. Behrmann, D. Duvenaud, J. Jacobsen.
    Residual Flows for Invertible Generative Modeling.
    Neural Information Processing Systems (NeurIPS), 2019.

    Spotlight

    online at: https://arxiv.org/abs/1906.02735

  7. T. Kluth, B. Hahn, C. Brandt.
    Spatio-temporal concentration reconstruction using motion priors in magnetic particle imaging.
    International Workshop on Magnetic Particle Imaging 2019.
    International Workshop on Magnetic Particle Imaging (IWMPI) Book of Abstracts 2019, pp. 23-24, Infinite Science Publishing, 2019.
  8. J. Clemens, C. Meerpohl, V. Schwarting, M. Rick, K. Schill, C. Büskens.
    Autonomous In-Ice Exploration of the Saturnian Moon Enceladus.
    69th International Astronautical Congress (IAC), 01.10.-05.10.2018, Bremen, Deutschland.
  9. T. Kluth, B. Jin.
    Exploiting Ill-Posedness in Magnetic Particle Imaging - System Matrix Approximation via Randomized SVD.
    International Workshop on Magnetic Particle Imaging 2017.
    International Workshop on Magnetic Particle Imaging (IWMPI) Book of Abstracts 2017, pp. 127-128, Infinite Science Publishing, 2018.
  10. J. Flötotto, T. Kluth, M. Möddel, T. Knopp, P. Maaß.
    Improving Generalization Properties of Measured System Matrices by Using Regularized Total Least Squares Reconstruction in MPI.
    International Workshop on Magnetic Particle Imaging 2017.
    International Workshop on Magnetic Particle Imaging (IWMPI) Book of Abstracts 2017, pp. 53-54, Infinite Science Publishing, 2018.
  11. D. Otero Baguer, I. Piotrowska, P. Maaß.
    Inverse Problems in designing new structural materials.
    7th International Conference on High Performance Scientific Computing, 19.03-23.03.2018, Hanoi, Vietnam.
  12. C. Bathke, T. Kluth, P. Maaß.
    MPI Reconstruction Using Structural Prior Information and Sparsity.
    International Workshop on Magnetic Particle Imaging 2019.
    International Workshop on Magnetic Particle Imaging (IWMPI) Book of Abstracts 2019, pp. 129-130, Infinite Science Publishing, 2018.
  13. C. Meerpohl, K. Flaßkamp, C. Büskens.
    Optimization Strategies for Real-Time Control of an Autonomous Melting Probe.
    2018 American Control Conference (ACC), 2018, Milwaukee, WI, USA.

    DOI: 10.23919/ACC.2018.8430877

  14. K. Schäfer, M. Runge, K. Flaßkamp, C. Büskens.
    Parameter Identification for Dynamical Systems Using Optimal Control Techniques.
    European Control Conference (ECC) 2018, 12.06.-15.06.2018, Limassol, Zypern.

    DOI: 10.23919/ECC.2018.8550045

  15. M. Runge, K. Flaßkamp, C. Büskens.
    Sequential Solution of Parameter Identification and Optimal Control Problems for Robotic Systems.
    89th GAMM Annual Meeting of the international Association of Applied Mathematics and Mechanics (GAMM), 19.03.-23.03.2018, München, Deutschland.
    Proc. Appl. Math. Mech., 2018.

    DOI: 10.1002/pamm.201800099

  16. W. Heins, C. Büskens.
    Two-Level Forecast-Based Energy and Load Management for Grid-Connected Local Systems Using General Load and Storage Models.
    18th International Conference on Environment and Electrical Engineering (EEEIC), 12.06-15.06.2018, Palermo, Italien.
  17. C. Bathke, T. Kluth, C. Brandt, P. Maaß.
    Improved image reconstruction in magnetic particle imaging using structural a priori information.
    International Workshop on Magnetic Particle Imaging 2017.
    International Workshop on Magnetic Particle Imaging (IWMPI) Book of Abstracts 2017, pp. 85, Infinite Science Publishing, 2017.
  18. T. Kluth, P. Maaß.
    Model uncertainty in magnetic particle iamging: Motivating nonlinear problems by model-based sparse reconstruction.
    International Workshop on Magnetic Particle Imaging 2017.
    International Workshop on Magnetic Particle Imaging (IWMPI) Book of Abstracts 2017, pp. 83, Infinite Science Publishing, 2017.

Preprints (12)

  1. C. Etmann.
    A Closer Look at Double Backpropagation.
    Zur Veröffentlichung eingereicht.

    online at: https://arxiv.org/abs/1906.06637

  2. T. Kluth, B. Jin.
    Exploiting heuristic parameter choice rules for one-click image reconstruction in magnetic particle imaging.
    Zur Veröffentlichung eingereicht.
  3. F. Siemer, I. Ovsyannikov, J. Rademacher.
    Inhomogenous domain walls in spintronic nanowires.
    Zur Veröffentlichung eingereicht.

    online at: https://arxiv.org/abs/1907.07470

  4. F. Siemer, I. Ovsyannikov, J. Rademacher.
    Inhomogenwous domain walls in spintronic nanowires.
    Zur Veröffentlichung eingereicht.
  5. T. Kluth, B. Jin.
    L1 data fitting for robust numerical reconstruction in magnetic particle imaging.
    Zur Veröffentlichung eingereicht.
  6. A. Konschin.
    Numerical scheme for electromagnetic scattering on perturbed periodic inhomogeneous media and reconstruction of the perturbation.
    Zur Veröffentlichung eingereicht.
  7. T. Kluth, P. Szwargulski, T. Knopp.
    Towards Accurate Modeling of the Multidimensional Magnetic Particle Imaging Physics.
    Zur Veröffentlichung eingereicht.

    online at: https://arxiv.org/abs/1907.04854

  8. J. Behrmann, S. Dittmer, P. Fernsel, P. Maaß.
    Analysis of Invariance and Robustness via Invertibility of ReLU-Networks.
    Zur Veröffentlichung eingereicht.

    online at: https://arxiv.org/abs/1806.09730

  9. S. Dittmer, T. Kluth, P. Maaß, D. Otero Baguer.
    Regularization by architecture: A deep prior approach for inverse problems.
    Zur Veröffentlichung eingereicht.

    online at: https://arxiv.org/pdf/1812.03889.pdf

  10. S. Dittmer, E. King, P. Maaß.
    Singular values for ReLU layers.
    Zur Veröffentlichung eingereicht.

    online at: https://arxiv.org/abs/1812.02566

  11. K. Schäfer, J. Fliege, K. Flaßkamp, C. Büskens.
    A Reformulation Technique for Nonlinear Bilevel Programs Based on Sequential Quadratic Programming.
    Zur Veröffentlichung eingereicht.
  12. A. Konschin.
    Electromagnetic wave scattering from locally perturbed periodic inhomogeneous layers.
    Zur Veröffentlichung eingereicht.

    online at: https://arxiv.org/abs/1908.08457