@conference {697,
	title = {Assessing the Environmental Impact of IoT Devices - Hotspots and Guidelines for a Better Understanding},
	booktitle = {2025 IEEE International Conference on Engineering, Technology, and Innovation (ICE/ITMC)},
	year = {2025},
	pages = {1{\textendash}11},
	publisher = {IEEE},
	organization = {IEEE},
	doi = {10.1109/ice/itmc65658.2025.11106638},
	url = {http://dx.doi.org/10.1109/ice/itmc65658.2025.11106638},
	author = {Baumgartner, Corinna and Bohnet, Doris and Meyer, Sonja and Leber, Angelika and Ramadane, Mohamed}
}
@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 {696,
	title = {Environmental Impact Assessment of IoT Devices: A Graph-based Approach},
	journal = {Procedia Computer Science},
	volume = {236},
	year = {2024},
	pages = {338{\textendash}347},
	issn = {1877-0509},
	doi = {10.1016/j.procs.2024.05.039},
	url = {http://dx.doi.org/10.1016/j.procs.2024.05.039},
	author = {Ramadane, Mohamed and Meyer, Sonja and Bohnet, Doris}
}
@inbook {645,
	title = {Crowd Management in der  Lehre},
	booktitle = {Seamless  Learning, Grenz- und kontext{\"u}bergreifendes Lehren und Lernen in der  Bodenseeregion},
	year = {2022},
	pages = {123-132},
	publisher = {Springer},
	organization = {Springer},
	author = {R. Axthelm and S. Luppold and M. Moroff}
}
@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}
}
@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 {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 {594,
	title = {Image Inpainting for High-Resolution Textures using CNN Texture Synthesis},
	booktitle = {Computer Graphics \& Visual Computing (CGVC)},
	year = {2018},
	publisher = {Eurographics Association},
	organization = {Eurographics Association},
	address = {Swansea UK},
	author = {Pascal Laube and Grunwald Michael and M O Franz and Georg Umlauf}
}
@book {637,
	title = {Learning to Cluster},
	year = {2018},
	author = {Benjamin Bruno Meier and Thilo Stadelmann and Oliver D{\"u}rr}
}
@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}
}
@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 {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}
}
@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 {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 {203,
	title = {Embedded vertex shader in {FPGA}},
	booktitle = {Embedded System Design: Topics, Techniques and Trends},
	year = {2007},
	publisher = {Springer-Verlag},
	organization = {Springer-Verlag},
	author = {Lars Middendorf and Felix M{\"u}hlbauer and Georg Umlauf and Christophe Bobda},
	editor = {A. Rettberg et al.}
}
@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 {215,
	title = {On normals and control nets},
	booktitle = {Mathematics of Surfaces XI},
	year = {2005},
	publisher = {Springer-Verlag},
	organization = {Springer-Verlag},
	author = {Ingo Ginkel and J{\"o}rg Peters and Georg Umlauf},
	editor = {R.~Martin and H.~Bez and M.~Sabin pages = 233-239}
}
@conference {221,
	title = {Gaussian and mean curvature of subdivision surfaces},
	booktitle = {The Mathematics of Surfaces IX},
	year = {2000},
	author = {J{\"o}rg Peters and Georg Umlauf},
	editor = {R.~Cipolla and R.~Martin}
}
