Publications

Articles (7)

  1. P. Fernsel, P. Maaß.
    A Survey on Surrogate Approaches to Non-negative Matrix Factorization.
    Erscheint in Vietnam Journal of Mathematics

    DOI: 10.1007/s10013-018-0315-x

  2. 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

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

    DOI: 10.1088/1361-6420/aac535

  4. T. Kluth, B. Jin, G. Li.
    On the Degree of Ill-Posedness of Multi-Dimensional Magnetic Particle Imaging.
    Erscheint in Inverse Problems
  5. 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

  6. 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

  7. 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 (2)

  1. K. Schäfer, K. Flaßkamp, C. Büskens.
    A Numerical Study of the Robustness of Transcription Methods for Parameter Identification Problems.
    89th GAMM Annual Meeting, 19.03.-23.03.2018, München, Deutschland.
  2. 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.

Preprints (3)

  1. 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

  2. J. Jacobsen, J. Behrmann, R. Zemel, M. Bethge.
    Excessive Invariance Causes Adversarial Vulnerability.
    Zur Veröffentlichung eingereicht.

    online at: https://arxiv.org/abs/1811.00401

  3. J. Behrmann, D. Duvenaud, J. Jacobsen.
    Invertible Residual Networks.
    Zur Veröffentlichung eingereicht.

    online at: https://arxiv.org/abs/1811.00995v1