@conference {692,
	title = {Faster-than-real-time Simulation of Multi-group Pedestrian Flow.},
	booktitle = {Traffic \& Granular Flow 24},
	year = {2025},
	month = {09/2025},
	pages = {04021},
	publisher = {EDP Sciences (334)},
	organization = {EDP Sciences (334)},
	address = {Lyon},
	abstract = {Simulations of pedestrian flow are widely used for design guidelines during the planning of buildings and large events. In this article we discuss how faster-than-real-time simulations of pedestrian flow can contribute to dynamic control strategies of the crowd in order to ensure safety live during an event. For this purpose we present a continuous model for multi-group pedestrian flow. The model consists of the continuity equation for the density of pedestrians and a Helmholtz type equation providing the fastest path to the exit. It is derived by regularizing Hughes{\textquoteright} macroscopic model for pedestrian flow and is solved using the finite element method, which enables simulations at short run-times. The model allows the definition of multiple groups with different fundamental diagrams or destination preferences. We show that this model is able to reproduce qualitatively the expected behavior of crossing pedestrian crowds. Its main advantage is its simulation speed, making it ideal for real-time crowd management at large events.},
	keywords = {FEM Simulation, Kontinuum Model, multi-group, pedestrian flow},
	doi = {https://doi.org/10.1051/epjconf/202533404021},
	author = {M. Schmid and D. Bernhardsgr{\"u}tter and R. Schwarz and D. Bohnet and R. Axthelm}
}
@conference {707,
	title = {Interpretable Neural Causal Models with TRAM-DAGs},
	booktitle = {Proceedings of the Fourth Conference on Causal Learning and Reasoning},
	year = {2025},
	month = {07{\textendash}09 May},
	pages = {606{\textendash}630},
	publisher = {PMLR},
	organization = {PMLR},
	abstract = {The ultimate goal of most scientific studies is to understand the underlying causal mechanism between the involved variables. Structural causal models (SCMs) are widely used to represent such causal mechanisms. Given an SCM, causal queries on all three levels of Pearl{\textquoteright}s causal hierarchy can be answered: $\mathcalL_1$ observational, $\mathcalL_2$ interventional, and $\mathcalL_3$ counterfactual. An essential aspect of modeling the SCM is to model the dependency of each variable on its causal parents. Traditionally this is done by parametric statistical models, such as linear or logistic regression models. This allows to handle all kinds of data types and fit interpretable models but bears the risk of introducing a bias due to the assumed rigid functional form. More recently neural causal models came up using neural networks (NNs) to model the causal relationships, allowing the estimation of nearly any underlying functional form without bias. However, current neural causal models are generally restricted to continuous variables and do not yield an interpretable form of the causal relationships. Transformation models range from simple statistical regressions to complex networks and can handle continuous, ordinal, and binary data. Here, we propose to use TRAMs to model the functional relationships in SCMs allowing us to bridge the gap between interpretability and flexibility in causal modeling. We call this method TRAM-DAG and assume currently that the underlying directed acyclic graph (DAG) is known. For the fully observed case, we benchmark TRAM-DAGs against state-of-the-art statistical and NN-based causal models. We show that TRAM-DAGs are interpretable but also achieve equal or superior performance in queries ranging from $\mathcalL_1$ to $\mathcalL_3$ in the causal hierarchy. For the continuous case, TRAM-DAGs allow for counterfactual queries for three common causal structures, including unobserved confounding.},
	url = {https://proceedings.mlr.press/v275/sick25a.html},
	author = {Sick, Beate and D{\"u}rr, Oliver},
	editor = {Huang, Biwei and Drton, Mathias}
}
@conference {694,
	title = {Paths and Ambient Spaces in Neural Loss Landscapes},
	booktitle = {Proceedings of The 28th International Conference on Artificial Intelligence and Statistics},
	year = {2025},
	month = {03{\textendash}05 May},
	pages = {10{\textendash}18},
	publisher = {PMLR},
	organization = {PMLR},
	abstract = {Understanding the structure of neural network loss surfaces, particularly the emergence of low-loss tunnels, is critical for advancing neural network theory and practice. In this paper, we propose a novel approach to directly embed loss tunnels into the loss landscape of neural networks. Exploring the properties of these loss tunnels offers new insights into their length and structure and sheds light on some common misconceptions. We then apply our approach to Bayesian neural networks, where we improve subspace inference by identifying pitfalls and proposing a more natural prior that better guides the sampling procedure.},
	url = {https://proceedings.mlr.press/v258/dold25a.html},
	author = {Dold, Daniel and Kobialka, Julius and Palm, Nicolai and Sommer, Emanuel and R{\"u}gamer, David and D{\"u}rr, Oliver},
	editor = {Li, Yingzhen and Mandt, Stephan and Agrawal, Shipra and Khan, Emtiyaz}
}
@conference {693,
	title = {Bayesian Semi-structured Subspace Inference},
	booktitle = {Proceedings of The 27th International Conference on Artificial Intelligence and Statistics},
	year = {2024},
	month = {02{\textendash}04 May},
	pages = {1819{\textendash}1827},
	publisher = {PMLR},
	organization = {PMLR},
	abstract = {Semi-structured regression models enable the joint modeling of interpretable structured and complex unstructured feature effects. The structured model part is inspired by statistical models and can be used to infer the input-output relationship for features of particular importance. The complex unstructured part defines an arbitrary deep neural network and thereby provides enough flexibility to achieve competitive prediction performance. While these models can also account for aleatoric uncertainty, there is still a lack of work on accounting for epistemic uncertainty. In this paper, we address this problem by presenting a Bayesian approximation for semi-structured regression models using subspace inference. To this end, we extend subspace inference for joint posterior sampling from a full parameter space for structured effects and a subspace for unstructured effects. Apart from this hybrid sampling scheme, our method allows for tunable complexity of the subspace and can capture multiple minima in the loss landscape. Numerical experiments validate our approach{\textquoteright}s efficacy in recovering structured effect parameter posteriors in semi-structured models and approaching the full-space posterior distribution of MCMC for increasing subspace dimension. Further, our approach exhibits competitive predictive performance across simulated and real-world datasets.},
	url = {https://proceedings.mlr.press/v238/dold24a.html},
	author = {Dold, Daniel and Ruegamer, David and Sick, Beate and D{\"u}rr, Oliver},
	editor = {Dasgupta, Sanjoy and Mandt, Stephan and Li, Yingzhen}
}
@article {704,
	title = {Bernstein flows for flexible posteriors in variational Bayes},
	journal = {AStA Advances in Statistical Analysis},
	volume = {108},
	year = {2024},
	pages = {375{\textendash}394},
	issn = {1863-818X},
	doi = {10.1007/s10182-024-00497-z},
	url = {http://dx.doi.org/10.1007/s10182-024-00497-z},
	author = {D{\"u}rr, Oliver and H{\"o}rtling, Stefan and Dold, Danil and Kovylov, Ivonne and Sick, Beate}
}
@article {706,
	title = {Estimating Conditional Distributions with Neural Networks Using R Package deeptrafo},
	journal = {Journal of Statistical Software},
	volume = {111},
	year = {2024},
	issn = {1548-7660},
	doi = {10.18637/jss.v111.i10},
	url = {http://dx.doi.org/10.18637/jss.v111.i10},
	author = {Kook, Lucas and Baumann, Philipp F. M. and D{\"u}rr, Oliver and Sick, Beate and R{\"u}gamer, David}
}
@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}
}
@article {681,
	title = {Short-term density forecasting of low-voltage load using Bernstein-polynomial normalizing flows},
	journal = {IEEE Transactions on Smart Grid},
	year = {2023},
	author = {Arpogaus, Marcel and Voss, Marcus and Sick, Beate and Nigge-Uricher, Mark and D{\"u}rr, Oliver}
}
@booklet {703,
	title = {Single-shot Bayesian approximation for neural networks},
	year = {2023},
	url = {https://arxiv.org/abs/2308.12785},
	author = {Kai Brach and Beate Sick and Oliver D{\"u}rr}
}
@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 {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 {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}
}
@conference {687,
	title = {Probabilistic short-term low-voltage load forecasting using bernstein-polynomial normalizing flows},
	booktitle = {ICML 2021, Workshop Tackling Climate Change with Machine Learning, June 26, 2021, virtual},
	year = {2021},
	author = {Arpogaus, Marcel and Vo{\ss}, Marcus and Sick, Beate and Nigge-Uricher, Mark and D{\"u}rr, Oliver}
}
@conference {640,
	title = {Probabilistic Short-Term Low-Voltage Load Forecasting using Bernstein-Polynomial Normalizing Flows},
	booktitle = {ICML 2021, Workshop Tackling Climate Change with Machine Learning, June 26, 2021, virtual},
	year = {2021},
	author = {Marcel Arpogaus and Marcus Vo{\ss} and Beate Sick and Mark Nigge-Uricher and Oliver D{\"u}rr}
}
@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}
}
@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}
}
@book {621,
	title = {Probabilistic Deep Learning: With Python, Keras and TensorFlow Probability},
	year = {2020},
	publisher = {Manning Publications},
	organization = {Manning Publications},
	isbn = {9781617296079},
	url = {https://www.manning.com/books/probabilistic-deep-learning},
	author = {Oliver D{\"u}rr and Beate Sick and Elvis Murina}
}
@book {688,
	title = {Probabilistic deep learning: With python, keras and tensorflow probability},
	year = {2020},
	publisher = {Manning Publications},
	organization = {Manning Publications},
	author = {D{\"u}rr, Oliver and Sick, Beate and Murina, Elvis}
}
@conference {622,
	title = {Single Shot MC Dropout Approximation},
	booktitle = {ICML Workshop on Uncertainty and Robustness in Deep Learning},
	year = {2020},
	author = {Brach, Kai and Beate Sick and Oliver D{\"u}rr}
}
@inbook {614,
	title = {Beyond ImageNet: Deep Learning in Industrial Practice},
	booktitle = {Applied Data Science},
	year = {2019},
	pages = {205-232},
	publisher = {Springer},
	organization = {Springer},
	isbn = {978-3-030-11820-4},
	issn = {978-3-030-11821-1},
	doi = {https://doi.org/10.1007/978-3-030-11821-1_12},
	url = {https://link.springer.com/chapter/10.1007\%2F978-3-030-11821-1_12},
	author = {Stadelmann, Thilo and Tolkachev, Vasily and Sick, Beate and D{\"u}rr, Oliver}
}
@article {613,
	title = {Bone erosion scoring for rheumatoid arthritis with deep convolutional neural networks},
	year = {2019},
	url = {https://www.journals.elsevier.com/computers-and-electrical-engineering},
	author = {Rohrbach, Janick and Rainhard, Tobias and Sick, Beate and D{\"u}rr, Oliver}
}
@conference {604,
	title = {Dissecting Multi-Line Handwriting for Multi-Dimensional Connectionist Classification},
	booktitle = {15th IAPR International Conference on Document Analysis and Recognition},
	year = {2019},
	publisher = {IEEE},
	organization = {IEEE},
	author = {Martin Schall and Marc-Peter Schambach and Matthias O. Franz}
}
@conference {617,
	title = {Fast and Reliable Acquisition of Truth Data for Document Analysis using Cyclic Suggest Algorithms},
	booktitle = {ICDAR-OST: The 2nd International Workshop on Open Services and Tools for Document Analysis},
	year = {2019},
	publisher = {IEEE},
	organization = {IEEE},
	author = {Marc-Peter Schambach and Stephan von der N{\"u}ll and Martin Schall}
}
@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}
}
@conference {stadelmann2018capturing,
	title = {Capturing Suprasegmental Features of a Voice with RNNs for Improved Speaker Clustering},
	booktitle = {IAPR Workshop on Artificial Neural Networks in Pattern Recognition},
	year = {2018},
	pages = {333{\textendash}345},
	publisher = {Springer},
	organization = {Springer},
	url = {https://www.springerprofessional.de/capturing-suprasegmental-features-of-a-voice-with-rnns-for-impro/16083698},
	author = {Stadelmann, Thilo and Glinski-Haefeli, Sebastian and Gerber, Patrick and D{\"u}rr, Oliver}
}
@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 {durr2018know,
	title = {Know When You Don{\textquoteright}t Know: A Robust Deep Learning Approach in the Presence of Unknown Phenotypes},
	journal = {Assay and drug development technologies},
	volume = {16},
	number = {6},
	year = {2018},
	pages = {343{\textendash}349},
	publisher = {Mary Ann Liebert, Inc. 140 Huguenot Street, 3rd Floor New Rochelle, NY 10801 USA},
	url = {https://www.liebertpub.com/doi/10.1089/adt.2018.859},
	author = {D{\"u}rr, Oliver and Murina, Elvis and Siegismund, Daniel and Tolkachev, Vasily and Steigele, Stephan and Sick, Beate}
}
@conference {meier2018learning,
	title = {Learning Neural Models for End-to-End Clustering},
	booktitle = {IAPR Workshop on Artificial Neural Networks in Pattern Recognition},
	year = {2018},
	pages = {126{\textendash}138},
	publisher = {Springer},
	organization = {Springer},
	doi = {https://doi.org/10.1007/978-3-319-99978-4_10},
	url = {https://link.springer.com/chapter/10.1007\%2F978-3-319-99978-4_10},
	author = {Meier, Benjamin Bruno and Elezi, Ismail and Amirian, Mohammadreza and D{\"u}rr, Oliver and Stadelmann, Thilo}
}
@book {637,
	title = {Learning to Cluster},
	year = {2018},
	author = {Benjamin Bruno Meier and Thilo Stadelmann and Oliver D{\"u}rr}
}
@conference {522,
	title = {LSTM Networks for Edit Distance Calculation with Exchangeable Dictionaries},
	booktitle = {13th IAPR International Workshop on Document Analysis Systems},
	year = {2018},
	publisher = {IEEE},
	organization = {IEEE},
	author = {Martin Schall and Haiyan P. Buehrig and Marc-Peter Schambach and M O Franz}
}
@conference {521,
	title = {Multi-Dimensional Connectionist Classification: Reading Text in One Step},
	booktitle = {13th IAPR International Workshop on Document Analysis Systems},
	year = {2018},
	publisher = {IEEE},
	organization = {IEEE},
	author = {Martin Schall and Marc-Peter Schambach and M O Franz}
}
@conference {597,
	title = {Visualization-Assisted Development of Deep Learning Models in Offline Handwriting Recognition},
	booktitle = {Visualization in Data Science (VDS at IEEE VIS) 2018},
	year = {2018},
	publisher = {IEEE},
	organization = {IEEE},
	address = {Berlin/Germany},
	author = {Martin Schall and Dominik Sacha and Manuel Stein and M O Franz and Daniel A. Keim}
}
@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 {lukic2017learning,
	title = {Learning embeddings for speaker clustering based on voice equality},
	booktitle = {Machine Learning for Signal Processing (MLSP), 2017 IEEE 27th International Workshop on},
	year = {2017},
	pages = {1{\textendash}6},
	publisher = {IEEE},
	organization = {IEEE},
	author = {Lukic, Yanick X and Vogt, Carlo and D{\"u}rr, Oliver and Stadelmann, Thilo}
}
@conference {509,
	title = {Radiometric calibration of digital cameras using neural networks},
	booktitle = {Optics and Photonics for Information Processing XI},
	year = {2017},
	month = {08/2017},
	publisher = {SPIE - International Society for Optics and Photonics},
	organization = {SPIE - International Society for Optics and Photonics},
	doi = {10.1117/12.2272559},
	url = {http://dx.doi.org/10.1117/12.2272559},
	author = {Michael Grunwald and Pascal Laube and Martin Schall and Georg Umlauf and M O Franz}
}
@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}
}
@conference {505,
	title = {Improving gradient-based LSTM training for offline handwriting recognition by careful selection of the optimization method},
	booktitle = {Conference: BW-CAR Symposium on Information and Communication Systems (SInCom)},
	year = {2016},
	month = {12/2016},
	author = {Martin Schall and Marc-Peter Schambach and M O Franz}
}
@conference {491,
	title = {Increasing robustness of handwriting recognition using character n-gram decoding on large lexica},
	booktitle = {12th IAPR International Workshop on Document Analysis Systems},
	year = {2016},
	publisher = {IEEE},
	organization = {IEEE},
	keywords = {connectionist temporal classification, lexicon based decoding, long-short-term-memory, n-gram index, offline handwriting recognition, recurrent neural network},
	author = {Martin Schall and Marc-Peter Schambach and M O Franz}
}
@article {durr2016single,
	title = {Single-Cell Phenotype Classification Using Deep Convolutional Neural Networks},
	journal = {Journal of biomolecular screening},
	volume = {21},
	number = {9},
	year = {2016},
	pages = {998{\textendash}1003},
	publisher = {SAGE Publications},
	doi = {https://doi.org/10.1177/1087057116631284},
	url = {https://doi.org/10.1177/1087057116631284},
	author = {D{\"u}rr, Oliver and Sick, Beate}
}
@conference {lukic2016speaker,
	title = {Speaker Identification and Clustering using Convolution Neural Networks},
	booktitle = {IEEE International workshop on Machine Learning for Signal Processing},
	year = {2016},
	author = {Lukic, Yanick and Vogt, Carlo and D{\"u}rr, Oliver and Stadelmann, Thilo}
}
@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 {489,
	title = {Pixel-wise Hybrid Image Registration on Wood Decors},
	journal = {BW-CAR| SINCOM},
	year = {2015},
	pages = {24},
	isbn = { 978-3-00-051859-1},
	author = {Michael Grunwald and M{\"u}ller, J and Martin Schall and Pascal Laube and Georg Umlauf and M O Franz}
}
@conference {490,
	title = {Radiometric calibration of digital cameras using Gaussian processes},
	booktitle = {SPIE Optics+ Optoelectronics},
	year = {2015},
	publisher = {International Society for Optics and Photonics},
	organization = {International Society for Optics and Photonics},
	doi = {10.1117/12.2178601},
	author = {Martin Schall and Michael Grunwald and Georg Umlauf and M O Franz}
}
@conference {486,
	title = {{Support Vector Machines for Classification of Geometric Primitives in Point Clouds}},
	booktitle = {Curves and Surfaces, 8th International Conference, Paris 2014},
	year = {2015},
	pages = {80-95},
	publisher = {Springer},
	organization = {Springer},
	author = {Manuel Caputo and Klaus Denker and M O Franz and Pascal Laube 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}
}
@proceedings {488,
	title = {A Virtual-Reality 3d-Laser-Scan Simulation},
	year = {2015},
	pages = {68},
	author = {Malvin Danhof and Tarek Schneider and Pascal Laube and Georg Umlauf}
}
@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}
}
@article {stadelmann2013applied,
	title = {Applied Data Science in Europe: Challenges for Academia in Keeping Up with a Highly Demanded Topic},
	journal = {European Computer Science Summit. Amsterdam, Netherlands},
	year = {2013},
	author = {Stadelmann, T and Stockinger, K and Braschler, M and Cieliebak, M and Baudinot, G and D{\"u}rr, O and Ruckstuhl, A}
}
@conference {Schuldt2013,
	title = {A compact high-performance frequency reference for space applications},
	booktitle = {{29th Intl. Symposium on Space Technology and Science (ISTS 2013), Nagoya (Japan)}},
	year = {2013},
	author = {Schuldt, T and D{\"o}ringshoff, K and St{\"u}hler, J and Kovalchuk, E and M O Franz and Gohlke, M and Weise, D and Johann, U and Peters, A and Braxmaier, C}
}
@article {Franz2012,
	title = {{Systematische Merkmalsbewertung in komplexen Ultraschallsignalen mit Lernmaschinen}},
	journal = {Informatik-Spektrum},
	volume = {35},
	number = {5},
	year = {2012},
	pages = {348~{\textendash}~353},
	doi = {10.1007/s00287-011-0557-4},
	author = {M O Franz and Yovel, Y and Melc{\'o}n, M L and Stilz, P and Schnitzler, H.-U}
}
@article {Yovel2011,
	title = {Echo-based object recognition in echolocating bats},
	journal = {J.~Comp.~Phyiol.~A},
	volume = {197},
	year = {2011},
	note = {Invited review.},
	pages = {475{\textendash}490},
	doi = {10.1007/s00359-010-0584-7},
	author = {Yovel, Y and M O Franz and Stilz, P and Schnitzler, H.-U}
}
@conference {183,
	title = {Geometric properties of the adaptice Delaunay tessellation},
	booktitle = {Mathematical Methods of Curves and Surfaces, Tondsberg 2008},
	year = {2010},
	author = {Tom Bobach and Alexandru Constantiniu and Paul Steinmann and Georg Umlauf},
	editor = {D{\ae}hlen, M. and Floater, M.S. and Lyche, T. and Merrien, J.-L. and Morken, K. and Schumaker, L.L.}
}
@conference {Schwamberger2010,
	title = {The influence of the image basis on modeling and steganalysis performance},
	booktitle = {{Proc. 12th Intl. Conf. on Information Hiding (IH-2010)}},
	year = {2010},
	pages = {133{\textendash}144},
	publisher = {Springer},
	organization = {Springer},
	address = {Berlin},
	author = {Schwamberger, V and Le, P H D and Sch{\"o}lkopf, B and M O Franz},
	editor = {B{\"o}hme, R. and Fong, P.W.L. and Safavi-Naini, R.}
}
@conference {Schwamberger2010a,
	title = {Simple algorithmic modifications for improving blind steganalysis performance},
	booktitle = {{Proc. of the 2010 Workshop on Multimedia and Security (MM\&Sec 2010)}},
	year = {2010},
	publisher = {ACM Press},
	organization = {ACM Press},
	address = {New York},
	author = {Schwamberger, V and M O Franz}
}
@article {Kienzle2009,
	title = {Center-surround patterns emerge as optimal predictors for human saccade targets},
	journal = {J. of Vision},
	volume = {9},
	number = {5},
	year = {2009},
	pages = {1{\textendash}15},
	doi = {10.1167/9.5.7.Introduction},
	author = {Kienzle, W and M O Franz and Sch{\"o}lkopf, B}
}
@conference {Barbero2009,
	title = {Implicit {Wiener} series analysis of epileptic seizure recordings.},
	booktitle = {{Ann. Intl. Conf. of the IEEE Engineering in Medicine and Biology Society}},
	year = {2009},
	pages = {5304{\textendash}5307},
	doi = {10.1109/IEMBS.2009.5333080},
	author = {Barbero, A and M O Franz and van Drongelen, W and Dorronsoro, J R and Sch{\"o}lkopf, B and Grosse-Wentrup, M}
}
@article {YovEa09a,
	title = {The voice of bats: how greater mouse-eared bats recognize individuals based on their echolocation calls},
	journal = {PLoS Comput. Biol.},
	volume = {5},
	number = {6},
	year = {2009},
	pages = {e1000400:10.1371/journal.pcbi.1000400},
	issn = {1553-7358},
	doi = {10.1371/journal.pcbi.1000400},
	author = {Y Yovel and M L Melc{\'o}n and M O Franz and A Denzinger and H.-U Schnitzler}
}
@article {YovEa09b,
	title = {What a plant sounds like: the statistics of vegetation echoes as received by echolocating bats},
	journal = {PLoS Comput. Biol.},
	volume = {5},
	number = {7},
	year = {2009},
	pages = {e1000429. doi:10.1371/journal.pcbi.1000429},
	doi = {10.1371/journal.pcbi.1000429},
	author = {Y Yovel and P Stilz and M O Franz and A Boonman and H.-U Schnitzler}
}
@article {182,
	title = {The adaptive Delaunay tesselation: A neighborhood covering meshing technique},
	journal = {Computational Mechanics},
	volume = {42},
	year = {2008},
	pages = {655-669},
	author = {Alexandru Constantiniu and Paul Steinmann and Tom Bobach and Gerald Farin and Georg Umlauf}
}
@conference {Yov08c,
	title = {Bats can use echolocation calls for individual recognition},
	booktitle = {{Proc. Sensory coding and the natural environment 2008}},
	year = {2008},
	author = {Y Yovel and P Stilz and M L Melc{\'o}n and M O Franz and H.-U Schnitzler}
}
@article {YovEa08,
	title = {Plant classification from bat-like echolocation signals},
	journal = {PLoS Comput.\ Biol.},
	volume = {4},
	number = {3},
	year = {2008},
	pages = {e1000032},
	doi = {10.1371/journal.pcbi.1000032},
	author = {Y Yovel and M O Franz and P Stilz and H.-U Schnitzler}
}
@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 {Yov08a,
	title = {The statistics of plant echoes as perceived by echolocating bats},
	booktitle = {{Proc. of the Computational and Systems Neuroscience Meeting 2008 (COSYNE 2008)}},
	year = {2008},
	author = {Y Yovel and P Stilz and M O Franz and H.-U Schnitzler}
}
@conference {Yov08b,
	title = {The statistics of plant echoes as perceived by echolocating bats},
	booktitle = {{ASA Meeting Paris}},
	year = {2008},
	author = {Y Yovel and P Stilz and M O Franz and H.-U Schnitzler}
}
@conference {Yovel2008,
	title = {The statistics of plant echoes as perceived by echolocating bats},
	booktitle = {{Acoustics 08, Paris, SBN 978-2-9521105-4- 9 - EAN 9782952110549}},
	volume = {123},
	number = {5},
	year = {2008},
	pages = {DVD Proc.},
	publisher = {Acoustical Society of America},
	organization = {Acoustical Society of America},
	address = {New York},
	author = {Yovel, Y and M O Franz and Stilz, P and Schnitzler, H.-U}
}
@conference {Kie07b,
	title = {Center-surround filters emerge from optimizing predictivity in a free-viewing task},
	booktitle = {{Proc. of the Computational and Systems Neuroscience Meeting 2007 (COSYNE 2007)}},
	year = {2007},
	author = {W Kienzle and F A Wichmann and B Sch{\"o}lkopf and M O Franz}
}
@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 {Kienzle2007a,
	title = {How to find interesting locations in video: a spatiotemporal interest point detector learned from human eye movements},
	booktitle = {{Lecture Notes in Computer Science: Pattern Recognition (DAGM 2007)}},
	year = {2007},
	pages = {405{\textendash}417},
	publisher = {Springer},
	organization = {Springer},
	address = {Heidelberg},
	author = {Kienzle, W and Sch{\"o}lkopf, B and Wichmann, F A and M O Franz}
}
@conference {Fra07c,
	title = {Implicit {Wiener} series for estimating nonlinear receptive fields},
	booktitle = {{Proc. 31st G{\"o}ttingen Neurobiolgy Conf.}},
	year = {2007},
	pages = {1199},
	publisher = {Thieme},
	organization = {Thieme},
	address = {Stuttgart},
	author = {M O Franz and J H Macke and A Saleem and S R Schultz}
}
@conference {Kie07c,
	title = {Learning the influence of spatio-temporal variations in local image structure on visual saliency},
	booktitle = {{Proc. 10.~T{\"u}binger Wahr\-neh\-mungs\-konferenz (TWK 2007)}},
	year = {2007},
	pages = {63},
	publisher = {Knirsch},
	organization = {Knirsch},
	address = {Kirchentellinsfurt},
	author = {W Kienzle and F A Wichmann and B Sch{\"o}lkopf and M O Franz},
	editor = {H.~H. B{\"u}lthoff and A. Chatziastros and H.~A. Mallot and R. Ulrich}
}
@conference {Kie07a,
	title = {Nonlinear receptive field analysis: making kernel methods interpretable},
	booktitle = {{Proc. of the Computational and Systems Neuroscience Meeting 2007 (COSYNE 2007)}},
	year = {2007},
	author = {W Kienzle and J H Macke and F A Wichmann and B Sch{\"o}lkopf and M O Franz}
}
@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.}
}
@conference {206,
	title = {Tuning subdivision algorithms using constrained energy minimization},
	booktitle = {Mathematics of Surfaces XII},
	year = {2007},
	publisher = {Springer-Verlag},
	organization = {Springer-Verlag},
	author = {Ingo Ginkel and Georg Umlauf},
	editor = {R.~Martin and M.~Sabin and J.~Winkler}
}
@conference {184,
	title = {Controlling a subdivision tuning method},
	booktitle = {Curve and Surface Fitting},
	year = {2006},
	author = {Ingo Ginkel and Georg Umlauf},
	editor = {A.~Cohen and J.-L.~Merrien and L.L.~Schumaker}
}
@conference {Franz2006,
	title = {Implicit {Volterra} and {Wiener series} for higher-order image analysis},
	booktitle = {{Advances in Data Analysis 30th Ann. Conf. German Classification Society}},
	year = {2006},
	pages = {60},
	author = {M O Franz and Sch{\"o}lkopf, B}
}
@conference {Kie_ea_06,
	title = {Learning an interest operator from human eye movements},
	booktitle = {{Beyond Patches Workshop, Intl. Conf. on Computer Vision and Pattern Recognition}},
	year = {2006},
	pages = {1{\textendash}8},
	publisher = {IEEE Computer Society},
	organization = {IEEE Computer Society},
	author = {Kienzle, W and Wichmann, F A and Sch{\"o}lkopf, B and M O Franz},
	editor = {C. Schmid and S. Soatto and Tomasi, C}
}
@conference {Kie06a,
	title = {Learning eye movements},
	booktitle = {{Proc. Sensory Coding and the Natural Environment 2006}},
	year = {2006},
	author = {W Kienzle and F A Wichmann and B Sch{\"o}lkopf and M O Franz}
}
@conference {McAuley2006,
	title = {Learning high-order {MRF} priors of color images},
	booktitle = {{Proc. of the 23rd Intl. Conf. on Machine Learning (ICML 2006)}},
	year = {2006},
	pages = {617{\textendash}624},
	publisher = {ACM},
	organization = {ACM},
	author = {McAuley, J J and Caetano, T S and Smola, A J and M O Franz}
}
@conference {219,
	title = {Loop subdivision with curvature control},
	booktitle = {Eurographics Symposium on Geometry Processing},
	year = {2006},
	publisher = {Eurographics},
	organization = {Eurographics},
	author = {Ingo Ginkel and Georg Umlauf},
	editor = {K.~Polthier and A.~Sheffer}
}
@article {FraSch06,
	title = {A unifying view of {Wiener} and {Volterra} theory and polynomial kernel regression},
	journal = {Neural Computation},
	volume = {18},
	number = {12},
	year = {2006},
	pages = {3097~{\textendash}~3118},
	author = {M O Franz and Sch{\"o}lkopf, B}
}
@conference {Kie_ea_05a,
	title = {Face detection {\textendash} efficient and rank deficient},
	booktitle = {{Advances in Neural Information Processing Systems 17}},
	year = {2005},
	pages = {673{\textendash}680},
	publisher = {MIT Press},
	organization = {MIT Press},
	author = {W Kienzle and G H Bak{\i}r and M O Franz and B Sch{\"o}lkopf},
	editor = {Saul, L K and Y Weiss and L Bottou}
}
@article {KimFraSch05,
	title = {Iterative kernel principal component analysis for image modeling},
	journal = {IEEE Trans. PAMI},
	volume = {27},
	number = {9},
	year = {2005},
	pages = {1351~{\textendash}~1366},
	author = {K I Kim and M O Franz and B Sch{\"o}lkopf}
}
@conference {Kie05a,
	title = {Learning an interest operator from eye movements},
	booktitle = {{Proc. Workshop on Bioinspired Information Processing 2005}},
	year = {2005},
	author = {W Kienzle and F A Wichmann and B Sch{\"o}lkopf and M O Franz}
}
@conference {Franz2004b,
	title = {Implicit estimation of {Wiener} series},
	booktitle = {{Machine Learning for Signal Processing XIV, Proc. 2004 IEEE Signal Processing Society Workshop}},
	year = {2004},
	pages = {735{\textendash}744},
	publisher = {IEEE},
	organization = {IEEE},
	address = {New York},
	author = {M O Franz and B Sch{\"o}lkopf},
	editor = {Barros, A and Principe, J C and Larsen, J and Adali, T and Douglas, S}
}
@conference {Fra04c,
	title = {Implicit {Wiener} series for capturing higher-order interactions in images},
	booktitle = {{Proc. Sensory Coding and the Natural Environment 2004}},
	year = {2004},
	author = {M O Franz and B Sch{\"o}lkopf},
	editor = {B A Olshausen and M Lewicki}
}
@conference {Kim2004,
	title = {Kernel {Hebbian} algorithm for single-frame super-resolution},
	booktitle = {{Statistical Learning in Computer Vision (SLCV 2004), ECCV 2004 Workshop, Prague}},
	year = {2004},
	pages = {135{\textendash}149},
	author = {Kim, K I and M O Franz and Sch{\"o}lkopf, B}
}
@conference {SinFra04,
	title = {Learning depth},
	booktitle = {{Proc. 7.~T{\"u}binger Wahrnehmungskonferenz (TWK 2004)}},
	year = {2004},
	pages = {68},
	publisher = {Knirsch},
	organization = {Knirsch},
	address = {Kirchentellinsfurt},
	author = {F Sinz and M O Franz},
	editor = {H H B{\"u}lthoff and H A Mallot and R Ulrich and F A Wichmann}
}
@conference {SinEa04,
	title = {Learning depth from stereo},
	booktitle = {{Pattern Recognition, Proc.\ 26th DAGM Symposium}},
	series = {LNCS},
	volume = {3175},
	year = {2004},
	pages = {245~{\textendash}~252},
	publisher = {Springer},
	organization = {Springer},
	address = {Berlin},
	author = {F Sinz and J Qui{\~n}onero~Candela and G H Bak{\i}r and C E Rasmussen and M O Franz},
	editor = {C E Rasmussen and H H B{\"u}lthoff and M A Giese and B Sch{\"o}lkopf}
}
@conference {Bakir2004,
	title = {Multivariate Regression via {Stiefel} Manifold Constraints},
	booktitle = {{Pattern Recognition, Proc. of the 26th DAGM Symposium (DAGM 2004)}},
	year = {2004},
	pages = {262-269},
	publisher = {Springer},
	organization = {Springer},
	address = {Heidelberg},
	author = {G H Bak{\i}r and A Gretton and M O Franz and B Sch{\"o}lkopf},
	editor = {Rasmussen, C E and H H B{\"u}lthoff and M A Giese and B Sch{\"o}lkopf}
}
@conference {FraKwoRasSch04,
	title = {Semi-supervised kernel regression using whitened function classes},
	booktitle = {{Pattern Recognition, Proc.\ 26th DAGM Symposium}},
	series = {LNCS},
	volume = {3175},
	year = {2004},
	pages = {18~{\textendash}~26},
	publisher = {Springer},
	organization = {Springer},
	address = {Berlin},
	author = {M O Franz and Kwon, Y and Rasmussen, C E and Sch{\"o}lkopf, B},
	editor = {C.~E. Rasmussen and H.~H. B{\"u}lthoff and M.~A. Giese and B. Sch{\"o}lkopf}
}
@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}
}
@conference {MalGilSteFra99,
	title = {Recognition-triggered response and the view-graph approach to spatial cognition},
	booktitle = {{Spatial Information Theory - Cognitive and Computational Foundations of Geographic Information Science (COSIT 99)}},
	series = {LNCS},
	volume = {1661},
	year = {1999},
	pages = {367-380},
	publisher = {Springer},
	organization = {Springer},
	address = {Berlin},
	author = {H A Mallot and S Gillner and S D Steck and M O Franz},
	editor = {C Freksa and D M Mark}
}
@conference {224,
	title = {Triangular G^2 splines},
	booktitle = {Curve and Surface Design},
	year = {1999},
	publisher = {Vanderbilt University Press},
	organization = {Vanderbilt University Press},
	author = {Hartmut Prautzsch and Georg Umlauf},
	editor = {P.-L.~Laurent and P.~Sablonniere and L.L.~Schumaker}
}
@article {FraSchMalBue98a,
	title = {Learning view graphs for robot navigation},
	journal = {Autonomous Robots},
	volume = {5},
	year = {1998},
	pages = {111~{\textendash}~125},
	author = {M O Franz and Sch{\"o}lkopf, B and Mallot, H A and B{\"u}lthoff, H H}
}
@conference {FraSchMalBueZel98,
	title = {Navigation mit Schnappsch{\"u}ssen.},
	booktitle = {{Mustererkennung 1998. Proc. of the 20th DAGM-Symposium}},
	year = {1998},
	pages = {412-428},
	publisher = {Springer},
	organization = {Springer},
	address = {Berlin},
	author = {M O Franz and Sch{\"o}lkopf, B and Mallot, H A and B{\"u}lthoff, H H and Zell, A},
	editor = {P Levi and R.-J Ahlers and F May and M Schanz}
}
@article {FraSchMalBue98b,
	title = {Where did {I} take that snapshot? {Scene-based} homing by image matching},
	journal = {Biol. Cybern.},
	volume = {79},
	year = {1998},
	pages = {191~{\textendash}~202},
	author = {M O Franz and Sch{\"o}lkopf, B and Mallot, H A and B{\"u}lthoff, H H}
}
@conference {FraSchBue97,
	title = {Homing by parameterized scene matching},
	booktitle = {{Proc. 4th Europ. Conf. on Artificial Life}},
	year = {1997},
	pages = {236~{\textendash}~245},
	author = {M O Franz and Sch{\"o}lkopf, B and B{\"u}lthoff, H H}
}
@conference {FraSchGeoMalBue97,
	title = {Learning view graphs for robot navigation},
	booktitle = {{Proc.\ 1.{\.I}ntl.\ Conf.\ on Autonomous Agents}},
	year = {1997},
	pages = {138~{\textendash}~147},
	publisher = {ACM Press},
	organization = {ACM Press},
	address = {New York},
	author = {M O Franz and Sch{\"o}lkopf, B and Georg, P and Mallot, H A and B{\"u}lthoff, H H},
	editor = {Johnson, W L}
}
@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}
}
@conference {FraSchMalBue96,
	title = {Aktives {Erwerben} eines {Ansichtsgraphen} zur diskreten {Repr{\"a}sentation} offener {Umwelten}},
	booktitle = {Fortschritte der {K{\"u}nstlichen Intelligenz}},
	series = {20. Deutsche Jah\-res\-tagung {f{\"u}r} {K{\"u}nstliche} Intelligenz {(KI 96)}},
	year = {1996},
	pages = {92},
	publisher = {Dresden University Press},
	organization = {Dresden University Press},
	address = {Dresden},
	author = {M O Franz and Sch{\"o}lkopf, B and Mallot, H A and B{\"u}lthoff, H H},
	editor = {Thielscher, M and Bornscheuer, S.-E}
}
