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Publikationen des Jahres 2019

Zeitschriftenartikel (9)

  1. S. Arridge, P. Maaß, O. Öktem, C. Schönlieb.
    Solving inverse problems using data-driven models.
    Acta Numerica, 28:pp. 1-174, Cambridge University Press, 2019.

    DOI: 10.1017/S0962492919000059

  2. F. Cakoni, H. Haddar, A. Lechleiter.
    On the factorization method for a far field inverse scattering problem in the time domain.
    SIAM Journal on Mathematical Analysis, 51(2):854-872, 2019.

    DOI: 10.1137/18M1214809

  3. 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

  4. M. Eden.
    Homogenization of a Moving Boundary Problem With Prescribed Normal Velocity.
    Erscheint in Advances in Mathematical Sciences and Applications
  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. 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

  7. A. Konschin, A. Lechleiter.
    Reconstruction of a Local Perturbation in Inhomogeneous Periodic Layers from Partial Near Field Measurements.
    Erscheint in Inverse Problems

    DOI: 10.1088/1361-6420/ab1c66

  8. R. Kuhlmann.
    Learning to Steer Nonlinear Interior-Point Methods.
    Erscheint in EURO Journal on Computational Optimization

    DOI: 10.1007/s13675-019-00118-4

  9. P. Maaß.
    Deep learning for trivial inverse problems.
    Erscheint in Compressed Sensing and its applications

Tagungsbeiträge (10)

  1. 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 unter: http://proceedings.mlr.press/v97/behrmann19a.html

  2. R. T. Chen, J. Behrmann, D. Duvenaud, J. Jacobsen.
    Residual Flows for Invertible Generative Modeling.
    Invertible Networks and Normalizing Flows workshop, ICML.

    Contributed Talk

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

  3. 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 unter: http://proceedings.mlr.press/v97/etmann19a.html

  4. A. Folkers, M. Rick, C. Büskens.
    Controlling an Autonomous Vehicle with Deep Reinforcement Learning.
    Intelligent Vehicles Symposium, 09.06.-12.06.2019, Paris, Frankreich.
    Proceedings of the 30th IEEE Intelligent Vehicles Symposium, S. 1768-1774, 2019.

    Best Student Paper

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

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

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

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

  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, S. 23-24, Infinite Science Publishing, 2019.
  8. M. Kurowski, S. Roy, J. Gehrt, R. Damerius, C. Büskens, D. Abel, T. Jeinsch.
    Multi-Vehicle Guidance, Navigation and Control Towards Autonomous Ship Maneuvering in Confined Waters.
    European Control Conference (ECC) 2019, 25.06.-28.06.2019.
    Supervisory control of multilevel discrete-event systems with a bus structure, S. 2559-2564, 2019.

    DOI: 10.23919/ECC.2019.8795726

  9. C. Niebuhr, A. Schmidt.
    Finite element methods for parabolic problems with time-dependent domains - application to a milling simulation.
    ENUMATH 2017.
    Lecture Notes in Computational Science and Engineering, 126:481-489, Springer Verlag, 2019.
  10. R. Zweigel, J. Gehrt, S. Liu, S. Roy, C. Büskens, M. Kurowski, T. Jeinsch, A. Schubert, M. Gluch, O. Simanski, E. Pairet-Garcia, F. Siemer, D. Abel.
    Optimal Maneuvering and Control of Cooperative Vehicles as Case Study for Maritime Applications within Harbors.
    European Control Conference (ECC) 2019, 25.06.-28.06.2019.
    Supervisory control of multilevel discrete-event systems with a bus structure, S. 3022-3027, 2019.

    DOI: 10.23919/ECC.2019.8796071

Buchkapitel (1)

  1. M. Knauer, C. Büskens.
    Real-Time Optimal Control Using TransWORHP and WORHP Zen.
    Modeling and Optimization in Space Engineering, G. Fasano, J. D. Pintér (Hrsg.), Springer Optimization and Its Applications, vol 144, S. 211-232, Springer Verlag, 2019.

    DOI: 10.1007/978-3-030-10501-3_9

Preprints (5)

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

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

  2. E. King.
    2- and 3-Covariant Equiangular Tight Frames.
    Zur Veröffentlichung eingereicht.

    online unter: https://arxiv.org/abs/1901.10612

  3. E. King.
    Constructing Subspace Packings from Other Packings.
    Zur Veröffentlichung eingereicht.

    online unter: https://arxiv.org/abs/1902.07145

  4. T. Kluth, P. Szwargulski, T. Knopp.
    Towards Accurate Modeling of the Multidimensional Magnetic Particle Imaging Physics.
    Zur Veröffentlichung eingereicht.

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

  5. R. Reisenhofer, E. King.
    Edge, Ridge, and Blob Detection with Symmetric Molecules.
    Zur Veröffentlichung eingereicht.