Zum Hauptinhalt springen

Publications

 

D. Otero BaguerJ. LeuschnerM. Schmidt.
Computed Tomography Reconstruction Using Deep Image Prior and Learned Reconstruction Methods.
Inverse Problems, 36(9), IOPscience, 2020.

DOI: https://doi.org/10.1088/1361-6420/aba415


T. GerkenS. Grützner.
Dynamic Inverse Wave Problems – Part I: Regularity for the Direct Problem.
Inverse Problems, 36(2), IOPscience, 2020.

DOI: 10.1088/1361-6420/ab47ec
online at: https://iopscience.iop.org/article/10.1088/1361-6420/ab47ec


T. Gerken.
Dynamic Inverse Wave Problems – Part II: Operator Identification and Applications.
Inverse Problems, 36(2), IOPscience, 2020.

DOI: 10.1088/1361-6420/ab47f4
online at: https://iopscience.iop.org/article/10.1088/1361-6420/ab47f4


J. von Schroeder, T. Dickhaus.
Efficient Calculation of the Joint Distribution of Order Statistics.
Computational Statistics & Data Analysis, 144, Elsevier, 2020.

online at: https://doi.org/10.1016/j.csda.2019.106899


H. Haddar, A. Konschin.
Factorization Method for Imaging a Local Perturbation in Inhomogeneous Periodic Layers from Far Field Measurements.
Inverse Problems and Imaging, 14(1):133-152, 2020.

DOI: 10.3934/ipi.2019067
online at: https://www.aimsciences.org/article/doi/10.3934/ipi.2019067


L. Siemer, I. Ovsyannikov, J. Rademacher.
Inhomogeneous domain walls in spintronic nanowires.
Nonlinearity, 2905 33(6), IOPscience, 2020.

DOI: 10.1088/1361-6544/ab6f4e


T. KluthC. Bathke, M. Jiang, P. Maaß.
Joint super-resolution image reconstruction and parameter identification in imaging operator: Analysis of bilinear operator equations, numerical solution, and application to magnetic particle imaging.
Erscheint in Inverse Problems

online at: https://arxiv.org/abs/2004.13091


I. Bougoudis, A. Blechschmidt, A. Richter, S. Seo, J. P. Burrows, N. Theys, A. Rinke.
Long-term Time-series of Arctic Tropospheric BrO derived from UV-VIS Satellite Remote Sensing and its Relation to First Year Sea Ice.
Erscheint in Atmospheric Chemistry and Physics

DOI: 10.5194/acp-2020-116


M. Steinherr Zazo, J. Rademacher.
Lyapunov coefficients for Hopf bifurcations in systems with piecewise smooth nonlinearity.
Erscheint in SIAM Journal on Applied Dynamical Systems

online at: https://arxiv.org/abs/2006.07085


S. DittmerT. KluthP. MaaßD. Otero Baguer.
Regularization by architecture: A deep prior approach for inverse problems.
Journal of Mathematical Imaging and Vision, :456-470, Springer Verlag, 2020.

DOI: 10.1007/s10851-019-00923-x
online at: http://link.springer.com/article/10.1007/s10851-019-00923-x


M. Lachmann, J. Maldonado, W. BergmannF. JungM. WeberC. Büskens.
Self-Learning Data-Based Models as Basis of a Universally Applicable Energy Management System.
Energies 2020, 13(8), 2084, 2020.

DOI: 10.3390/en13082084


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


T. KluthB. 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


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


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


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


A. KonschinA. Lechleiter.
Reconstruction of a Local Perturbation in Inhomogeneous Periodic Layers from Partial Near Field Measurements.
Inverse Problems, 35(11), 114006, IOPscience, 2019.

DOI: 10.1088/1361-6420/ab1c66


S. DittmerE. KingP. Maaß.
Singular values for ReLU layers.
IEEE Transactions on Neural Networks and Learning Systems, Article , 2019.

online at: https://ieeexplore.ieee.org/document/8891761


S. Saha, W. Brannath, B. Bornkamp.
Testing multiple dose combinations in clinical trials.
Statistical Methods in Medical Research, , 2019.

DOI: 10.1177/0962280219871969


T. Kluth, P. Szwargulski, T. Knopp.
Towards Accurate Modeling of the Multidimensional Magnetic Particle Imaging Physics.
New Journal of Physics, Article ID 10303 21, 10 pp., 2019.

online at: https://iopscience.iop.org/article/10.1088/1367-2630/ab4938/pdf


P. FernselP. 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


S. Saha, W. Brannath.
Comparison of different approaches for dose response analysis.
Biometrical Journal, 61(1):83-100, WILEY-VCH, 2018.

DOI: 10.1002/bimj.201700276


J. BehrmannC. EtmannT. 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


I. Bougoudis, K. Demertzis, L. Iliadis, V. . Anezakis, A. Papaleonidas.
FuSSFFra, a fuzzy semi-supervised forecasting framework: the case of the air pollution in Athens.
Neural Computing and Applications, 7, 2018.


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

DOI: 10.1088/1361-6420/aac535


T. KluthB. 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


J. LeuschnerM. SchmidtP. FernselD. LachmundT. BoskampP. Maaß.
Supervised Non-negative Matrix Factorization Methods for MALDI Imaging Applications.
Bioinformatics, bty909 , 2018.

DOI: 10.1093/bioinformatics/bty909


C. BathkeT. KluthC. BrandtP. 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


T. KluthP. 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


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

(Highlight Paper)

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

 

 

L. Evers.
Benchmarking pre-trained Encoders for real-time Semantic Road Scene Segmentation.
GAMM 91st Annual Meeting of the international Association of Applied Mathematics and Mechanics, Kassel, 15.03.2020 - 19.03.2020.


M. LachmannF. JungC. Büskens.
Computationally efficient identification of databased models applied to a milk cooling system.
Conference of Computational Interdisciplinary Science, CCIS, 19.03.-22.03.2019, Atlanta, USA.
Campinas: Galoa, 2020.

online at: https://proceedings.science/ccis-2019/papers/computationally-efficient-identification-of-databased-models-applied-to-a-milk-cooling-system


A. DenkerM. SchmidtJ. LeuschnerP. MaaßJ. Behrmann.
Conditional Normalizing Flows for Low-Dose Computed Tomography Image Reconstruction.
ICML Workshop on Invertible Neural Networks, Normalizing Flows, and Explicit Likelihood Models, 18.07-18.07.2020, Wien, Österreich.

online at: https://invertibleworkshop.github.io/accepted_papers/index.html


E. DierkesF. JungC. Büskens.
Data-based models of drive technology for automation in automotive production.
GAMM 91st Annual Meeting of the international Association of Applied Mathematics and Mechanics, Kassel, 15.03.2020 - 19.03.2020.


M. Möddel, F. Griese, T. Kluth, T. Knopp.
Estimating orientation using multi-contrast MPI.
10th International Workshop on Magnetic Particle Imaging 2020, Würzburg, 07.09.-09.09.2020.
To appear in Infinite Science Publishing, T. Knopp, T. M. Buzug (Eds.), pp. 2 pages.


F. Tramer, J. Behrmann, N. Carlini, N. Papernot, J. Jacobsen.
Fundamental Tradeoffs between Invariance and Sensitivity to Adversarial Perturbations.
International Conference on Machine Learning (ICML), 12.07 - 18.07.2020, Wien, Österreich.

online at: https://arxiv.org/abs/2002.04599


H. AlbersT. Kluth, T. Knopp.
MNPDynamics: A computational toolbox for simulating magnetic moment behavior of ensembles of nanoparticles.
10th International Workshop on Magnetic Particle Imaging 2020, Würzburg, 07.09.-09.09.2020.
To appear in Infinite Science Publishing, T. Knopp, T. M. Buzug (Eds.), pp. 2 pages.


M. RungeK. FlaßkampC. Büskens.
Model Predictive Control with Online Nonlinear Parameter Identification for a Robotic System.
International Conference on Control, Decision and Information Technologies (CoDIT), 29.06.-02.07.2020, Prag, Tschechien.
To appear in Proceedings of CoDIT.


I. MykhailiukK. SchäferK. FlaßkampC. Büskens.
On the Computation of Convergence Regions for Sequential Nonlinear Programming Problems.
GAMM 91st Annual Meeting of the international Association of Applied Mathematics and Mechanics, Kassel, 15.03.2020 - 19.03.2020.


I. MykhailiukK. SchäferK. FlaßkampC. Büskens.
Preferable Minima in Nonlinear Optimization: Definition and Algorithmic Approaches.
ICML Workshop on Invertible Neural Networks, Normalizing Flows, and Explicit Likelihood Models, 18.07-18.07.2020, Wien, Österreich.

online at: https://hessenbox.uni-kassel.de/dl/fi226HzF3AJV3g4LFWM4fWE6/daily_program_2020.pdf?inline


M. RungeK. FlaßkampC. Büskens.
Real-time parameter estimation for sensitivity-based LQ regulator adaptation .
GAMM 91st Annual Meeting of the international Association of Applied Mathematics and Mechanics, Kassel, 15.03.2020 - 19.03.2020.


K. Schäfer, J. Fliege, K. FlaßkampC. Büskens.
Reformulating Bilevel Problems by SQP Embedding.
GAMM 91st Annual Meeting of the international Association of Applied Mathematics and Mechanics, Kassel, 15.03.2020 - 19.03.2020.


T. Kluth, P. Szwargulski, T. Knopp.
Towards accurate modeling of the multidimensional MPI physics.
10th International Workshop on Magnetic Particle Imaging 2020, Würzburg, 07.09.-09.09.2020.
To appear in Infinite Science Publishing, T. Knopp, T. M. Buzug (Eds.), pp. 2 pages.


J. Behrmann, P. Vicol, K. Wang, R. Grosse, J. Jacobsen.
On the Invertibility of Invertible Neural Networks.
NeurIPS workshop on Machine Learning with Guarantees, 2019.

online at: https://sites.google.com/view/mlwithguarantees/accepted-papers


K. SchäferK. Flaßkamp, J. Fliege, C. Büskens.
A Combined Homotopy-Optimization Approach to Parameter Identification for Dynamical Systems.
GAMM Annual Meeting of the international Association of Applied Mathematics and Mechanics, 18.02-22.02.2019, Wien, Österreich.
90, Proc. Appl. Math. Mech., 19, Wiley, 2019.

DOI: 10.1002/pamm.201900266


S. SchulzeE. King.
A Frequency‐Uniform and Pitch‐Invariant Time‐Frequency Representation.
90th GAMM Annual Meeting of the international Association of Applied Mathematics and Mechanics (GAMM), 18.02.-22.02.2019, Wien, Österreich.
Proc. Appl. Math. Mech., 19(1):e201900374, 2019.

DOI: 10.1002/pamm.201900374


M. Rick, J. Clemens, L. SommerA. Folkers, K. Schill, C. Büskens.
Autonomous Driving Based on Nonlinear Model Predictive Control and Multi-Sensor Fusion.
10th IFAC Symposium on Intelligent Autonomous Vehicles (IAV 2019), 03.07.-05.07.2019.

DOI: 10.1016/j.ifacol.2019.08.068


T. CzotscherD. Otero Baguer, F. Vollertsen, I. Piotrowska-KurczewskiP. Maaß.
Connection Between Shock Wave Induced Indentations And Hardness By Means Of Neural Networks.
22nd International Conference on Material Forming (ESAFORM 2019), 08.05.-10.05.2019.
AIP Conference Proceedings 2113, 100001, Springer Verlag, 2019.

DOI: 10.1063/1.5112634


A. FolkersM. RickC. 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, pp. 2025-2031, 2019.

**Best Student Paper

DOI: 10.1109/ivs.2019.8814124


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


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


C. MeerpohlM. RickC. Büskens.
Free-space Polygon Creation based on Occupancy Grid Maps for Trajectory Optimization Methods.
10th IFAC Symposium on Intelligent Autonomous Vehicles (IAV 2019), 03.07.-05.07.2019.

DOI: 10.1016/j.ifacol.2019.08.107


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


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


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


R. T. Chen, J. Behrmann, D. Duvenaud, J. Jacobsen.
Residual Flows for Invertible Generative Modeling.
Advances in Neural Information Processing Systems (NeurIPS).
32, pp. 9916--9926, 2019.

**Spotlight

online at: https://papers.nips.cc/paper/9183-residual-flows-for-invertible-generative-modeling


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.


K. SchäferK. FlaßkampC. Büskens.
A Numerical Study of the Robustness of Transcription Methods for Parameter Identification Problems.
GAMM Annual Meeting of the international Association of Applied Mathematics and Mechanics, 19.03.-23.03.2018, München, Deutschland.
89, Proc. Appl. Math. Mech., 18, Wiley, 2018.

DOI: 10.1002/pamm.201800101


L. SommerM. RickA. FolkersC. Büskens.
AO-Car: Transfer of Space Technology to Autonomous Driving with the use of WORHP.
7th International Conference on Astrodynamics Tools and Techniques, 2018.


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.


T. KluthB. Jin.
Exploiting Ill-Posedness in Magnetic Particle Imaging - System Matrix Approximation via Randomized SVD.
International Workshop on Magnetic Particle Imaging 2018.
International Workshop on Magnetic Particle Imaging (IWMPI) Book of Abstracts 2018, pp. 127-128, Infinite Science Publishing, 2018.


J. FlötottoT. 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 2018.
International Workshop on Magnetic Particle Imaging (IWMPI) Book of Abstracts 2018, pp. 53-54, Infinite Science Publishing, 2018.


D. Otero BaguerI. PiotrowskaP. Maaß.
Inverse Problems in designing new structural materials.
7th International Conference on High Performance Scientific Computing, 19.03-23.03.2018, Hanoi, Vietnam.


P. GrallaI. Piotrowska, D. . Rippel, M. Lütjen, P. Maaß.
Inverting Prediction Models in Micro Production for Process Design.
5TH INTERNATIONAL CONFERENCE ON NEW FORMING TECHNOLOGY, 18.09.-21.09.2018, Bremen, Deutschland.

DOI: 10.1051/matecconf/201819015007


C. BathkeT. KluthP. Maaß.
MPI Reconstruction Using Structural Prior Information and Sparsity.
International Workshop on Magnetic Particle Imaging 2018.
International Workshop on Magnetic Particle Imaging (IWMPI) Book of Abstracts 2018, pp. 129-130, Infinite Science Publishing, 2018.


C. MeerpohlK. FlaßkampC. 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


K. SchäferM. RungeK. FlaßkampC. 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


M. RungeK. FlaßkampC. 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


K. TrachtA. OnkenP. GrallaJ. H. EmadN. KipryP. Maaß.
Trend-specific clustering for micro mass production of linked parts.
CIRP General Assembly 2018, 19.08-25.08.2018.
CIRP Annals, Manufacturing Technology, 67(1):9-12, Elsevier, 2018.

DOI: 10.1016/j.cirp.2018.04.017


W. HeinsC. 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.


K. FlaßkampK. SchäferC. Büskens.
Variational Integrators for Parameter Identification of Mechanical Systems.
GAMM Annual Meeting of the international Association of Applied Mathematics and Mechanics, 19.03.-23.03.2018, München, Deutschland.
89, Proc. Appl. Math. Mech., 18, Wiley, 2018.

DOI: 10.1002/pamm.201800284


C. BathkeT. KluthC. BrandtP. 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.


T. KluthP. 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.


F. JungM. LachmannC. Büskens.
SmartFarm - Data based optimization for optimal energy management.
88th GAMM Annual Meeting of the international Association of Applied Mathematics and Mechanics (GAMM).
Proc. Appl. Math. Mech., 17(1):741-742, 2017.

DOI: 10.1002/pamm.201710338


P. GrallaI. Piotrowska-KurczewskiP. Maaß.
Tikhonov Functionals Incorporating Tolerances.
88th GAMM Annual Meeting of the international Association of Applied Mathematics and Mechanics (GAMM).
To appear in Proc. Appl. Math. Mech.


P. GrallaI. Piotrowska-KurczewskiP. Maaß.
Parameter identification for micro milling processes using inverse problems incorporating tolerances.
International Congress on engineering, design and Manufacturing 2016, 08.09-10.09.2016, Barcelona, Spanien.


M. Schmidt.
Around the clock - capsule networks and image transformations.
PAMM.
To appear in Proceedings in Applied Mathematics and Mechanics.


P. GrallaI. Piotrowska-Kurczewski, D. . Rippel, M. Lütjen, P. Maaß.
Eine Methode zur Invertierung von Vorhersagemodellen in der Mikrofertigung.
8. Kolloquium Mikroproduktion, 27.11.-28.11.2017, Bremen, Deutschland.

 

 

T. Gerken.
Dynamic Inverse Problems for the Acoustic Wave Equation.
Time-dependent Problems in Imaging and Parameter Identification, Time-dependent Problems in Imaging and Parameter Identification, Springer Verlag, 2020.


S. Görres, S. Böttcher, P. Rink, W. Brannath.
StaVaCare 2.0 - Zusammenhänge zwischen Care-, Case-Mix, Organisation und Qualität in Pflegeheimen.
Schriftenreihe zur Weiterentwicklung der Pflegeversicherung, GKV Spitzenverband, 2020.


O. Riemer, P. Maaß, F. E. Elsner-Dörge, P. GrallaJ. VehmeyerM. WillertA. MeierI. Zahn.
Predictive compensation measures for the prevention of shape deviations of mircomilled dental products.
Cold Micro Metal Forming, Springer Verlag, 2018.


B. Denkena, P. MaaßA. SchmidtD. NiederwestbergJ. VehmeyerC. NiebuhrP. Gralla.
Thermomechanical Deformation of Complex Workpieces in Milling and Drilling Processes.
Thermal Effects in Complex Machining Processes - Final Report of the DFG Priority Program 1480, D. Biermann, F. Hollmann (Eds.), LNPE, pp. 219-250, Springer Verlag, 2017.

 

T. Kluth
Model-based to data-driven approaches for parameter identification and image reconstruction in the applied inverse problem of magnetic particle imaging (submitted)
Dissertationsschrift, Universität Bremen, 2020.


S. Dittmer
On deep learning applied to inverse problems - A chicken-and-egg problem (submitted)
Dissertationsschrift, Universität Bremen, 2020.


C. Etmann.
Double Backpropagation with Applications to Robustness and Saliency Map Interpretability.
Dissertationsschrift, Universität Bremen, 2020.


D. Otero Baguer.
Neural Networks for solving Inverse Problems. Applications in Materials Science and Medical Imaging.
Dissertationsschrift, Universität Bremen, 2020.


A. Konschin.
Direkte und inverse elektromagnetische Streuprobleme für lokal gestörte periodische Medien.
Dissertationsschrift, Universität Bremen, 2019.

online at: http://nbn-resolving.de/urn:nbn:de:gbv:46-00107835-13


T. Gerken.
Dynamic Inverse Problems for Wave Phenomena.
Dissertationsschrift, Universität Bremen, 2019.

online at: https://nbn-resolving.de/urn:nbn:de:gbv:46-00107730-18


M. Westphal.
Model Selection and Evaluation in Supervised Machine Learning.
Dissertationsschrift, Universität Bremen, 2019.

DOI: https://doi.org/10.26092/elib/16


J. Behrmann.
Principles of Neural Network Architecture Design: Invertibility and Domain Knowledge.
Dissertationsschrift, Universität Bremen, 2019.

online at: https://elib.suub.uni-bremen.de/peid/D00108536.html


S. Saha.
Multiple testing and modeling in dose-response studies.
Dissertationsschrift, Universität Bremen, 2018.

 

S. DittmerT. KluthD. Otero BaguerP. Maaß.
A deep prior approach to magnetic particle imaging.
Zur Veröffentlichung eingereicht.


S. DittmerT. Kluth, M. Henriksen, P. Maaß.
Deep image prior for 3D magnetic particle imaging: A quantitative comparison of regularization techniques on Open MPI dataset.
Zur Veröffentlichung eingereicht.

online at: https://arxiv.org/abs/2007.01593


S. Dittmer, C. Schönlieb, P. Maaß.
Ground Truth Free Denoising by Optimal Transport.
Zur Veröffentlichung eingereicht.

online at: https://arxiv.org/abs/2007.01575


S. Arridge, P. Fernsel, A. Hauptmann.
Joint Reconstruction and Low-Rank Decomposition for Dynamic Inverse Problems.
Zur Veröffentlichung eingereicht.

online at: https://arxiv.org/abs/2005.14042


T. KluthC. Bathke, M. Jiang, P. Maaß.
Joint super-resolution image reconstruction and parameter identification in imaging operator: Analysis of bilinear operator equations, numerical solution, and application to magnetic particle imaging.
Zur Veröffentlichung eingereicht.

online at: https://arxiv.org/abs/2004.13091


T. KluthB. Jin.
L1 data fitting for robust reconstruction in magnetic particle imaging: quantitative evaluation on Open MPI dataset.
Zur Veröffentlichung eingereicht.

online at: https://arxiv.org/abs/2001.06083


I. Bougoudis, A. Blechschmidt, A. Richter, S. Seo, J. P. Burrows, N. Theys, A. Rinke.
Long-term Time-series of Arctic Tropospheric BrO derived from UV-VIS Satellite Remote Sensing and its Relation to First Year Sea Ice.
Zur Veröffentlichung eingereicht.

DOI: 10.5194/acp-2020-116


M. Steinherr Zazo, J. Rademacher.
Lyapunov coefficients for Hopf bifurcations in systems with piecewise smooth nonlinearity.
Zur Veröffentlichung eingereicht.


J. von Schroeder.
Stable Feature Selection with Applications to MALDI Imaging Mass Spectrometry Data.
Zur Veröffentlichung eingereicht.

online at: https://arxiv.org/abs/2006.15077


I. Piotrowska-KurczewskiG. Sfakianaki.
Tikhonov functionals with a tolerance measure introduced in the regularization.
Zur Veröffentlichung eingereicht.

online at: http://arxiv.org/abs/2007.06431


J. Behrmann, P. Vicol, K. Wang, R. Grosse, J. Jacobsen.
Understanding and Mitigating Exploding Inverses in Invertible Neural Networks.
Zur Veröffentlichung eingereicht.

online at: https://arxiv.org/abs/2006.09347


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

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


M. Westphal, A. Zapf, W. Brannath.
A multiple testing framework for diagnostic accuracy studies with co-primary endpoints.
Zur Veröffentlichung eingereicht.

online at: https://arxiv.org/abs/1911.02982


S. DittmerP. Maaß.
A Projectional Ansatz to Reconstruction.
Zur Veröffentlichung eingereicht.

online at: https://arxiv.org/abs/1907.04675


C. EtmannM. SchmidtJ. BehrmannT. BoskampL. Hauberg-Lotte, A. Peter, R. Casadonte, J. Kriegsmann, P. Maaß.
Deep Relevance Regularization: Interpretable and Robust Tumor Typing of Imaging Mass Spectrometry Data.
Zur Veröffentlichung eingereicht.

online at: https://arxiv.org/abs/1912.05459


A. Konschin.
Electromagnetic wave scattering from locally perturbed periodic inhomogeneous layers.
Zur Veröffentlichung eingereicht.

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


T. KluthB. Jin.
Exploiting heuristic parameter choice rules for one-click image reconstruction in magnetic particle imaging.
Zur Veröffentlichung eingereicht.


A. Konschin.
Numerical scheme for electromagnetic scattering on perturbed periodic inhomogeneous media and reconstruction of the perturbation.
Zur Veröffentlichung eingereicht.


M. Westphal.
Simultaneous Inference for Multiple Proportions: A Multivariate Beta-Binomial Model.
Zur Veröffentlichung eingereicht.

online at: https://arxiv.org/abs/1911.00098


S. SchulzeE. King.
Sparse Pursuit and Dictionary Learning for Blind Source Separation in Polyphonic Music Recordings.
Zur Veröffentlichung eingereicht.

online at: https://arxiv.org/abs/1806.00273


S. Seo, A. Richter, A. Blechschmidt, I. Bougoudis, J. P. Burrows.
Spatial distribution of enhanced BrO and its relation to meteorological parameters in Arctic and Antarctic sea ice regions.
Zur Veröffentlichung eingereicht.

DOI: 10.5194/acp-2019-996


J. LeuschnerM. SchmidtD. Otero BaguerP. Maaß.
The LoDoPaB-CT Dataset: A Benchmark Dataset for Low-Dose CT Reconstruction Methods.
Zur Veröffentlichung eingereicht.

online at: arXiv:1910.01113


R. . Grotheer, T. . Strauss, P. GrallaT. Khan.
Alternatives for Generating a Reduced Basis to Solve the Hyperspectral Diffuse Optical Tomography Model.
Zur Veröffentlichung eingereicht.

online at: https://arxiv.org/abs/1803.00948


J. BehrmannS. DittmerP. FernselP. Maaß.
Analysis of Invariance and Robustness via Invertibility of ReLU-Networks.
Zur Veröffentlichung eingereicht.

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

 

C. Brandt, M. Hamann, J. Leuschner.
Regression Models for Ultrasonic Testing of Carbon Fiber Reinforced Polymers.
Berichte aus der Technomathematik 19–01, Universität Bremen, 2019.


J. von Schroeder, T. Dickhaus, T. Bodnar.
Reverse Stress Testing in Skew-Elliptical Models.
Research Report 2019:04, 2019.

online at: Mathematical Statistics, Stockholm University


A. Folkers.
Steuerung eines autonomen Fahrzeugs durch Deep Reinforcement Learning.
BestMasters, 75 pages, Springer Verlag, Universität Bremen, 2019.