@article {680,
	title = {Deep transformation models for functional outcome prediction after acute ischemic stroke},
	journal = {Biometrical Journal},
	volume = {65},
	year = {2023},
	pages = {2100379},
	author = {Herzog, Lisa and Kook, Lucas and G{\"o}tschi, Andrea and Petermann, Katrin and H{\"a}nsel, Martin and Hamann, Janne and D{\"u}rr, Oliver and Wegener, Susanne and Sick, Beate}
}
@conference {675,
	title = {Extended Target Tracking With a Lidar Sensor Using Random Matrices and a Gaussian Processes Regression Model},
	booktitle = { International Conference on Information Fusion (FUSION)},
	year = {2023},
	pages = {1-8},
	publisher = {IEEE},
	organization = {IEEE},
	address = {Charleston, SC, USA},
	doi = {10.23919/FUSION52260.2023.10224159},
	author = {Patrick Hoher and Johannes Reuter and Daniel Dold and Dennis Griesser and Felix Govaers and Wolfgang Koch}
}
@conference {676,
	title = {Incremental one-class learning using regularized null-space training for industrial defect detection},
	booktitle = {16th International Conference on Machine Vision (ICMV)},
	year = {2023},
	month = {11/2023},
	abstract = {One-class incremental learning is a special case of class-incremental learning, where only a single novel class is incrementally added to an existing classifier instead of multiple classes.
This case is relevant in industrial defect detection scenarios, where novel defects usually appear during operation. 
Existing rolled-out classifiers must be updated incrementally in this scenario with only a few novel examples.
In addition, it is often required that the base classifier must not be altered due to approval and warranty restrictions.
While simple finetuning often gives the best performance across old and new classes, it comes with the drawback of potentially losing performance on the base classes (catastrophic forgetting).
Simple prototype approaches work without changing existing weights and perform very well when the classes are well separated but fail dramatically when not.
In theory, null-space training (NSCL) should retain the basis classifier entirely, as parameter updates are restricted to the null space of the network with respect to existing classes.
However, as we show, this technique promotes overfitting in the case of one-class incremental learning.
In our experiments, we found that unconstrained weight growth in null space is the underlying issue, leading us to propose a regularization term (R-NSCL) that penalizes the magnitude of amplification.
The regularization term is added to the standard classification loss and stabilizes null-space training in the one-class scenario by counteracting overfitting. 
We test the method{\textquoteright}s capabilities on two industrial datasets, namely AITEX and MVTec, and compare the performance to state-of-the-art algorithms for class-incremental learning.},
	author = {Matthias Hermann and Georg Umlauf and Bastian Goldl{\"u}cke and Matthias O.  Franz}
}
@article {682,
	title = {Novel AI-Based Algorithm for the Automated Computation of Coronal Parameters in Adolescent Idiopathic Scoliosis Patients: A Validation Study on 100 Preoperative Full Spine X-Rays},
	journal = {Global Spine Journal},
	year = {2023},
	pages = {21925682231154543},
	author = {Berlin, Clara and Adomeit, Sonja and Grover, Priyanka and Dreischarf, Marcel and Halm, Henry and D{\"u}rr, Oliver and Obid, Peter}
}
@article {684,
	title = {Deep and interpretable regression models for ordinal outcomes},
	journal = {Pattern Recognition},
	volume = {122},
	year = {2022},
	pages = {108263},
	author = {Kook, Lucas and Herzog, Lisa and Hothorn, Torsten and D{\"u}rr, Oliver and Sick, Beate}
}
@conference {668,
	title = {DeepDoubt - Improving uncertainty measures in machine learning to improve explainability and transparency},
	booktitle = {2022 All-Hands-Meeting of the BMBF-funded AI Research Projects at Munich Center for Machine Learning},
	year = {2022},
	author = {Matthias Hermann and Daniel Dold and Georg Umlauf and Oliver D{\"u}rr}
}
@article {670,
	title = {Fast and efficient image novelty detection based on mean-shifts},
	journal = {Sensors | Unusual Behavior Detection Based on Machine Learning },
	year = {2022},
	author = {Matthias Hermann and Georg Umlauf and Bastian Goldl{\"u}cke and Matthias O. Franz}
}
@conference {664,
	title = {Fast and memory-efficient independent component analysis using Lie group techniques},
	booktitle = {International Conference on Curves and Surfaces},
	year = {2022},
	author = {Matthias Hermann and Georg Umlauf and Matthias O. Franz}
}
@conference {663,
	title = {Image novelty detection based on mean-shift and typical set size},
	booktitle = {21th International Conference on Image Analysis and Processing, ICIAP},
	year = {2022},
	author = {Matthias Hermann and Bastian Goldl{\"u}cke and Matthias O. Franz}
}
@conference {649,
	title = {Large-scale independent component analysis by speeding up Lie group techniques},
	booktitle = { International Conference on Acoustics, Speech, and Signal Processing, ICASSP},
	year = {2022},
	author = {Matthias Hermann and Georg Umlauf and Matthias O. Franz}
}
@conference {665,
	title = {Targetless Lidar-camera registration using patch-wise mutual information},
	booktitle = {International Conference on Information Fusion},
	year = {2022},
	author = {Matthias Hermann and Dennis Griesser and Bernhard Gundel and Daniel Dold and Georg Umlauf and Matthias O. Franz}
}
@article {685,
	title = {Validation study of an algorithm based on artificial intelligence for automated computation of coronal parameters on preoperative AP X-rays},
	journal = {Brain and Spine},
	volume = {2},
	year = {2022},
	pages = {101156},
	author = {Adomeit, Sonja and Berlin, Clara and Grover, Priyanka and Dreischarf, Marcel and Halm, Henry and D{\"u}rr, Oliver and Obid, Peter}
}
@conference {642,
	title = {Accelerating Active Learning Image Labeling Through Bulk Shift Recommendations},
	booktitle = {2021 International Conference on Data Mining Workshops (ICDMW)},
	year = {2021},
	month = {07/2021},
	pages = {398-404},
	author = {Philipp Scharpf and Chi Lap Hong and Oliver Duerr}
}
@conference {686,
	title = {Accelerating Active Learning Image Labeling Through Bulk Shift Recommendations},
	booktitle = {2021 International Conference on Data Mining Workshops (ICDMW)},
	year = {2021},
	pages = {398{\textendash}404},
	publisher = {IEEE},
	organization = {IEEE},
	author = {Scharpf, Philipp and Hong, Chi Lap and D{\"u}rr, Oliver}
}
@conference {629,
	title = {Biologically-inspired vs. CNN texture representations in novelty detection},
	booktitle = {Applications of Machine Learning 2021},
	year = {2021},
	pages = {118430I},
	publisher = {International Society for Optics and Photonics},
	organization = {International Society for Optics and Photonics},
	author = {Michael Grunwald and Matthias Hermann and Freiberg, Fabian and Matthias O. Franz}
}
@conference {624,
	title = {Deep transformation models: Tackling complex regression problems with neural network based transformation models},
	booktitle = {Accepted for Proceedings of the 25th International Conference on Pattern Recognition (ICPR), Milan/Online, 2021},
	year = {2021},
	author = {Sick, Beate and Hothorn, Torsten and D{\"u}rr, Oliver}
}
@article {641,
	title = {Transformation models for flexible posteriors in variational bayes},
	journal = {arXiv preprint},
	year = {2021},
	pages = {2106.00528},
	author = {Sefan H{\"o}rtling and Daniel Dold and Oliver D{\"u}rr and Beate Sick}
}
@proceedings {626,
	title = {Damage Detection for Port Infrastructure by Means of Machine-Learning-Algorithms},
	year = {2020},
	month = {04/2020},
	author = {Frederic Hake and Matthias Hermann and Hamza Alkhatib and Christian Hesse and Karsten Holste and Georg Umlauf and Gael Kermarrec and Ingo Neumann}
}
@article {639,
	title = {Deep and interpretable regression models for ordinal outcomes},
	journal = {arXiv preprint},
	year = {2020},
	pages = {2010.08376},
	author = {Lucas Kook and Lisa Herzog and Torsten Hothorn and Oliver D{\"u}rr and Beate Sick}
}
@article {623,
	title = {Integrating uncertainty in deep neural networks for MRI based stroke analysis},
	journal = {Medical Image Analysis},
	volume = {65},
	year = {2020},
	pages = {101790},
	author = {Herzog, Lisa and Murina, Elvis and D{\"u}rr, Oliver and Wegener, Susanne and Sick, Beate}
}
@article {638,
	title = {Ordinal neural network transformation models: deep and interpretable regression models for ordinal outcomes},
	journal = {arXiv e-prints},
	year = {2020},
	pages = {2010.08376},
	author = {Lucas Kook and Lisa Herzog and Torsten Hothorn and Oliver D{\"u}rr and Beate Sick}
}
@conference {616,
	title = {Automatic classification of non-small cell lung cancer histologic sub-types by deep learning},
	booktitle = {VIRCHOWS ARCHIV},
	year = {2018},
	month = {09/18},
	pages = {108-108},
	publisher = {Springer},
	organization = {Springer},
	author = {Casanova, R and Murina, Elvis and Haberecker, M and Honcharova-Biletska, H and Vrugt, B and D{\"u}rr, Oliver and Sick, Beate and Soltermann, A}
}
@article {593,
	title = {Developing deep learning applications for life science and pharma industry},
	journal = {Drug research},
	volume = {68},
	year = {2018},
	pages = {305{\textendash}310},
	doi = {https://doi.org/10.1055/s-0043-124761},
	url = {https://doi.org/10.1055/s-0043-124761},
	author = {Siegismund, Daniel and Tolkachev, Vasily and Heyse, Stephan and Sick, Beate and D{\"u}rr, Oliver and Steigele, Stephan}
}
@article {656,
	title = {GETOpt mesh smoothing: Putting GETMe in the framework of global optimization-based schemes},
	journal = {Finite Elem. Anal. Des.},
	volume = {147},
	year = {2018},
	chapter = {10},
	doi = {DOI:10.1016/j.finel.2018.04.010 },
	author = {Bohnet, Doris and Himpel, Benjamin and Vartziotis, Dimitris}
}
@conference {598,
	title = {Optical Surface Detection: A novelty detection approach based on CNN-encoded features},
	booktitle = {SPIE Optics and Photonics},
	year = {2018},
	month = {10/2018},
	pages = {10752 - 10752 - 13},
	author = {Grunwald, Michael and Matthias Hermann and Freiberg, Fabian and Matthias O. Franz}
}
@conference {667,
	title = {Detection of variations in holter ECG recordings based on dynamic cluster analysis},
	booktitle = {International Conference on Intelligent Decision Technologies},
	year = {2017},
	author = {Hermann, Matthias and N. Madrid and R. Seepold}
}
@conference {666,
	title = {Analyzing environmental conditions and vital signs to increase healthy living},
	booktitle = {Mobile Networks for Biometric Data Analysis},
	year = {2016},
	author = {R Seepold and C Dermati and A Kostka and L Pfeil and R Lange and Hermann, Matthias and B Martinez}
}
@article {Schuldt2015,
	title = {Design of a dual species atom interferometer for space},
	journal = {Experimental Astronomy},
	volume = {39},
	number = {2},
	year = {2015},
	pages = {167-206},
	doi = {10.1007/s10686-014-9433-y},
	author = {Schuldt, T and Schubert, C and Krutzik, M and Bote, L and Gaaloul, N and Hartwig, J and Ahlers, H and Herr, W and Posso-Trujillo, K and Rudolph, J and Seidel, S and Wendrich, T and Ertmer, W and Herrmann, S and Kubelka-Lange, A and Milke, A and Rievers, B and Rocco, E and Hinton, A and Bongs, K and Oswald, M and M O Franz and Hauth, M and Peters, A and Bawamia, A and Wicht, A and Battelier, B and Bertoldi, A and Bouyer, P and Landragin, A and Massonnet, D and L{\'e}v{\`e}que, T and Wenzlawski, A and Hellmig, O and Windpassinger, P and Sengstock, K and von Klitzing, W and Chaloner, C and Summers, D and Ireland, P and Mateos, I and Sopuerta, C F and Sorrentino, F and Tino, G M and Williams, M and Trenkel, C and Gerardi, D and Chwalla, M and Burkhardt, J and Johann, U and Heske, A and Wille, E and Gehler, M and Cacciapuoti, L and G{\"u}rlebeck, N and Braxmaier, C and Rasel, E}
}
@conference {485,
	title = {On-line CAD Reconstruction with Accumulated Means of Local Geometric Properties},
	booktitle = {Curves and Surfaces, 8th International Conference, Paris 2014},
	year = {2015},
	pages = {181-201},
	publisher = {Springer},
	organization = {Springer},
	author = {Klaus Denker and Bernd Hamann and Georg Umlauf},
	editor = {Boissonnat, J-D and Cohen, A and Gibaru, O and Gout, C and Lyche, T and Mazure, M-L and Schumaker, L L}
}
@article {franzini2014silico,
	title = {In Silico Identification of Cell-type-specific Compartmental Gene Expression Signatures with Predictive Value for Response to Erlotinib/bevacizumab Therapy in Non-small Cell Lung Cancer (nsclc)},
	journal = {Respiration},
	volume = {87},
	number = {6},
	year = {2014},
	pages = {562},
	author = {Franzini, A and D{\"u}rr, O and Baty, F and Hosang, J and Brutsche, M H}
}
@article {Aguilera2014,
	title = {{STE-QUEST} {\textemdash} {Test} of the universality of free fall using cold atom interferometry},
	journal = {Classical and Quantum Gravity},
	volume = {31},
	number = {11},
	year = {2014},
	pages = {115010},
	author = {D N Aguilera and H Ahlers and B Battelier and A Bawamia and A Bertoldi and R Bondarescu and K Bongs and P Bouyer and C Braxmaier and L Cacciapuoti and C Chaloner and M Chwalla and W Ertmer and M O Franz and N Gaaloul and M Gehler and D Gerardi and L Gesa and N G{\"u}rlebeck and J Hartwig and M Hauth and O Hellmig and W Herr and S Herrmann and A Heske and A Hinton and P Ireland and P Jetzer and U Johann and M Krutzik and A Kubelka and C L{\"a}mmerzahl and A Landragin and I Lloro and D Massonnet and I Mateos and A Milke and M Nofrarias and M Oswald and A Peters and K Posso-Trujillo and E Rasel and E Rocco and A Roura and J Rudolph and W Schleich and C Schubert and T Schuldt and S Seidel and K Sengstock and C F Sopuerta and F Sorrentino and D Summers and G M Tino and C Trenkel and N Uzunoglu and W von Klitzing and R Walser and T Wendrich and A Wenzlawski and P We{\ss}els and A Wicht and E Wille and M Williams and P Windpassinger and N Zahzam}
}
@conference {198,
	title = {On-line reconstruction of CAD geometry},
	booktitle = {International Conference on 3d Vision},
	year = {2013},
	publisher = {IEEE},
	organization = {IEEE},
	author = {Klaus Denker and Daniel Hagel and Jakob Raible and Georg Umlauf and Bernd Hamann}
}
@conference {187,
	title = {A hand-held laser scanner based on multi-camera stereo-matching},
	booktitle = {Visualization of Large and Unstructured Data Sets - Applications in Geospatial Planning, Modeling and Engineering (IRTG 1131 Workshop},
	year = {2012},
	author = {Christoph Bender and Klaus Denker and Markus Friedrich and Kai Hirt and Georg Umlauf}
}
@conference {188,
	title = {Finite element analysis for linear elastic solids based on subdivision schemes},
	booktitle = {Visualization of Large and Unstructured Data Sets - Applications in Geospatial Planning, Modeling and Engineering (IRTG 1131 Workshop},
	year = {2011},
	author = {Daniel Burkhart and Bernd Hamann and Georg Umlauf}
}
@conference {Hensler2011,
	title = {Hybrid face recognition based on real-time multi-camera stereo-matching},
	booktitle = {Advances in Visual Computing, Proc. ISVC 2011, LNCS},
	year = {2011},
	pages = {158{\textendash}167},
	publisher = {Springer},
	organization = {Springer},
	address = {Heidelberg},
	author = {Hensler, J and Klaus Denker and M O Franz and Georg Umlauf},
	editor = {Bebis et al., G.}
}
@article {186,
	title = {Adaptive and feature-preserving subdivision for high-quality tetrahedral meshes},
	journal = {Computer Graphics Forum},
	volume = {29},
	year = {2010},
	pages = {117-127},
	author = {Daniel Burkhart and Bernd Hamann and Georg Umlauf}
}
@conference {194,
	title = {Adaptive tetrahedral subdivision for finite element analysis},
	booktitle = {Computer Graphics International, Singapore 2010},
	year = {2010},
	author = {Daniel Burkhart and Bernd Hamann and Georg Umlauf},
	editor = {N.N.}
}
@conference {213,
	title = {Generalized swap operation for tetrahedrizations},
	booktitle = {Scientific Visualization: Advanced Concepts},
	year = {2010},
	publisher = {Schloss Dagstuhl{\textendash}Leibniz Center for Informatics},
	organization = {Schloss Dagstuhl{\textendash}Leibniz Center for Informatics},
	author = {Burkhard Lehner and Bernd Hamann and Georg Umlauf},
	editor = {H.~Hagen}
}
@article {220,
	title = {Iso-geometric analysis based on Catmull-Clark solid subdivision},
	journal = {Computer Graphics Forum},
	volume = {29},
	year = {2010},
	pages = {1575-1784},
	author = {Daniel Burkhart and Bernd Hamann and Georg Umlauf}
}
@article {202,
	title = {Natural neighbor extrapolation using ghost points},
	journal = {Computer Aided-Design},
	volume = {41},
	year = {2009},
	pages = {350-365},
	author = {Tom Bobach and Gerald Farin and Dianne Hansford and Georg Umlauf}
}
@inbook {Franz2008,
	title = {A robot system for biomimetic navigation - from snapshots to metric embeddings of view graphs},
	booktitle = {{Robotics and Cognitive Approaches to Spatial Mapping}},
	volume = {38},
	year = {2008},
	pages = {297{\textendash}314},
	publisher = {Springer},
	organization = {Springer},
	edition = {{Springer Tracts in Advanced Robotics}},
	author = {M O Franz and St{\"u}rzl, W and H{\"u}bner, W and Mallot, H A},
	editor = {Yeap, A W and Jefferies, M}
}
@conference {195,
	title = {Video compression using data-dependent triangulations},
	booktitle = {Computer Graphics and Visualization {\textquoteright}08},
	year = {2008},
	author = {Burkhard Lehner and Georg Umlauf and Bernd Hamann},
	editor = {Y.~Xiao and E.~ten Thij}
}
@conference {185,
	title = {Discrete harmonic functions from local coordinates},
	booktitle = {Mathematics of Surfaces XII},
	year = {2007},
	publisher = {Springer-Verlag},
	organization = {Springer-Verlag},
	author = {Tom Bobach and Gerald Farin and Dianne Hansford and Georg Umlauf},
	editor = {R.~Martin and M.~Sabin and J.~Winkler}
}
@conference {209,
	title = {Image Compression Using Data-Dependent Triangulations},
	booktitle = {Advances in Visual Computing},
	year = {2007},
	publisher = {Springer},
	organization = {Springer},
	author = {Burkhard Lehner and Georg Umlauf and Bernd Hamann},
	editor = {George Bebis et al.}
}
@conference {190,
	title = {Natural neighbor concepts in scattered data interpolation and discrete function approximation},
	booktitle = {GI Lecture Notes in Informatics, Visualization of Large and Unstructured Data Sets},
	year = {2007},
	author = {Tom Bobach and Georg Umlauf},
	editor = {H.~Hagen and M.~Hering-Bertram and C.~Garth}
}
@conference {Kienzle2007,
	title = {A nonparametric approach to bottom-up visual saliency},
	booktitle = {{Advances in Neural Information Processing Systems 19}},
	volume = {19},
	year = {2007},
	pages = {689{\textendash}696},
	publisher = {MIT Press},
	organization = {MIT Press},
	address = {Cambridge, MA},
	author = {Kienzle, W and Wichmann, F A and Sch{\"o}lkopf, B and M O Franz},
	editor = {Sch{\"o}lkopf, B. and Platt, J. and Hoffmann, T.}
}
@article {durr2007robust,
	title = {Robust hit identification by quality assurance and multivariate data analysis of a high-content, cell-based assay},
	journal = {Journal of biomolecular screening},
	volume = {12},
	number = {8},
	year = {2007},
	pages = {1042{\textendash}1049},
	publisher = {Sage Publications Sage CA: Los Angeles, CA},
	author = {D{\"u}rr, Oliver and Duval, Fran{\c c}ois and Nichols, Anthony and Lang, Paul and Brodte, Annette and Heyse, Stephan and Besson, Dominique}
}
@conference {212,
	title = {Survey of techniques for data-dependent triangulations},
	booktitle = {GI Lecture Notes in Informatics, Visualization of Large and Unstructured Data Sets},
	year = {2007},
	author = {Burkhard Lehner and Georg Umlauf and Bernd Hamann},
	editor = {H.~Hagen and M.~Hering-Bertram and C.~Garth}
}
@conference {189,
	title = {Natural neighbor interpolation and order of continuity},
	booktitle = {GI Lecture Notes in Informatics, Visualization of Large and Unstructured Data Sets},
	year = {2006},
	author = {Tom Bobach and Georg Umlauf},
	editor = {H.~Hagen and A.~Kerren and P.~Dannenmann}
}
@conference {211,
	title = {Topographic distance functions for interpolation of meteorological data},
	booktitle = {GI Lecture Notes in Informatics, Visualization of Large and Unstructured Data Sets},
	year = {2006},
	author = {Burkhard Lehner and Georg Umlauf and Bernd Hamann and Susan Ustin},
	editor = {H.~Hagen and A.~Kerren and P.~Dannenmann}
}
@article {heyse2005quantifying,
	title = {Quantifying bioactivity on a large scale: quality assurance and analysis of multiparametric ultra-HTS data},
	journal = {JALA: Journal of the Association for Laboratory Automation},
	volume = {10},
	number = {4},
	year = {2005},
	pages = {207{\textendash}212},
	publisher = {SAGE Publications Sage CA: Los Angeles, CA},
	author = {Heyse, Stephan and Brodte, Annette and Bruttger, Oliver and Duerr, Oliver and Freeman, Tobe and Jung, Tom and Lindemann, Michael and Ottl, Johannes and Rinn, Bernd}
}
@conference {StaHahFraSpi00,
	title = {{Subliminale Darbietung verkehrsrelevanter Information in Kraftfahrzeugen}},
	booktitle = {{Proc. 3.~T{\"u}binger Wahrnehmungskonferenz (TWK 20009)}},
	year = {2000},
	pages = {98},
	publisher = {Knirsch},
	organization = {Knirsch},
	address = {Kirchentellinsfurt},
	author = {M Staedtgen and S Hahn and M O Franz and M Spitzer},
	editor = {H H B{\"u}lthoff and K R Gegenfurtner and H A Mallot}
}
@article {Huber1999,
	title = {On robots and flies: {M}odeling the visual orientation behavior of flies},
	journal = {Robotics and Autonomous Systems},
	volume = {29},
	number = {4},
	year = {1999},
	pages = {227{\textendash}242},
	doi = {10.1016/S0921-8890(99)00055-X},
	author = {Huber, S and M O Franz and B{\"u}lthoff, H H}
}
@conference {Distleretal98,
	title = {Navigation in real and virtual environments: judging orientation and distance in a large-scale landscape},
	booktitle = {{Virtual Environment 98: Proc. of the Eurographics Workshop 1998}},
	year = {1998},
	pages = {124~{\textendash}~133},
	publisher = {Springer},
	organization = {Springer},
	address = {Berlin},
	author = {Distler, H K and H A H C van Veen and S J Braun and W Heinz and M O Franz and H H B{\"u}lthoff},
	editor = {M Goebel and U Lang and J Landauer and M Walper}
}
@conference {FraHenKra98,
	title = {{VS-neurons} as matched filters for self-motion-induced optic flow fields},
	booktitle = {{New Neuroethology on the Move}},
	series = {{Proc. 26th G{\"o}ttingen Neurobiolgy Conf.}},
	volume = {II},
	year = {1998},
	pages = {419},
	publisher = {Thieme},
	organization = {Thieme},
	address = {Stuttgart},
	author = {M O Franz and Hengstenberg, R and Krapp, H G},
	editor = {N Elsner and R Wehner}
}
@conference {MalFraSchBue97,
	title = {The view-graph approach to visual navigation and spatial memory},
	booktitle = {{Proc. of the 7th Intl. Conf. on Artificial Neural Networks (ICANN 97)}},
	series = {LNCS},
	volume = {1327},
	year = {1997},
	pages = {751~{\textendash}~756},
	publisher = {Springer},
	organization = {Springer},
	address = {Berlin},
	author = {H A Mallot and M O Franz and B Sch{\"o}lkopf and H H B{\"u}lthoff},
	editor = {W. Gerstner and A. Germond and M. Hasler and J.-D Nicoud}
}
