@inbook{64806,
  author       = {{Biehler, Rolf and Kawakami, T. and Lampen, E. and Weiland, T. and Zapata-Cardona, L.}},
  booktitle    = {{Proceedings of the 15th International Congress on Mathematical Education}},
  editor       = {{Beswick, K. and Kaur, B. and Makar, K. and Ochoviet, C. and Venkat, H.}},
  pages        = {{198--203}},
  publisher    = {{MERGA}},
  title        = {{{Statistics and data science education as a vehicle for empowering citizens – short summary of a survey}}},
  volume       = {{1}},
  year         = {{2025}},
}

@inproceedings{58861,
  author       = {{Luchterhandt, Lars and Govindasamy, Vivek and Wang, Yutong and Dömer, Rainer and Müller, Wolfgang and Scheytt, J. Christoph}},
  booktitle    = {{OSSMPIC - Open Source Solutions for Massively Parallel Integrated Circuits}},
  title        = {{{Case Study on Combining Open-Source Tool Flows for Grids of Processing Cells}}},
  year         = {{2025}},
}

@unpublished{62262,
  abstract     = {{We construct the first examples of chamber-regular lattices on C̃₂-buildings. Assuming a conjecture of Kantor our list of examples becomes a classification for chamber-regular C̃₂-lattices on locally-finite C̃₂-buildings. The links of special vertices in the buildings we construct, are all isomorphic to (the incidence graph of) the unique generalized quadrangle Q of order (3,5). In particular our constructions involve chamber-regular actions on Q. These actions on Q are the first (and if Kantor's conjecture holds the only) chamber-regular actions on a finite generalized quadrangle and therefore interesting in their own right. Moreover Q is not Moufang and therefore none of our examples is a Bruhat-Tits building and all our lattices are exotic building lattices.}},
  author       = {{Stamer, Franziska and Titz Mite, Thomas }},
  pages        = {{29}},
  title        = {{{On Chamber-regular C̃₂-Lattices}}},
  year         = {{2025}},
}

@inproceedings{66098,
  author       = {{Lütke Stockdiek, Janina and Grimme, Britta and Griesbach, Marie and Grimme, Christian}},
  booktitle    = {{International Artificial Intelligence Symposium}},
  pages        = {{432–447}},
  title        = {{{Out of Order: On the Importance of Word Positions in Explaining Text Classification}}},
  year         = {{2025}},
}

@article{66278,
  author       = {{Biehler, Rolf and Kawakami, Takashi and Lampen, Erna and Weiland, Travis and Zapata-Cardona, Lucía}},
  journal      = {{European Mathematical Society Magazine}},
  number       = {{136}},
  pages        = {{49–52}},
  title        = {{{Statistics and data science education as a vehicle for empowering citizens–short summary of a survey}}},
  doi          = {{10.17619/UNIPB/1-2633}},
  year         = {{2025}},
}

@inproceedings{66520,
  author       = {{Luchterhandt, Lars and Govindasamy, Vivek and Wang, Yutong and Scheytt, Christoph and Müller, Wolfgang and Dömer, Rainer}},
  booktitle    = {{2025 Forum on Specification &amp;amp; Design Languages (FDL)}},
  publisher    = {{IEEE}},
  title        = {{{A Quantitative Guide to Navigate Speed/Accuracy Tradeoffs in System Level Design of RISC-V Processor Grids}}},
  doi          = {{10.1109/fdl68117.2025.11165408}},
  year         = {{2025}},
}

@inproceedings{58801,
  abstract     = {{Iran employs one of the most prominent Internet censors in the world. An important part of Iran’s censorship apparatus is its analysis of unencrypted protocols such as HTTP and DNS. During routine evaluations of Iran’s HTTP and DNS censorship, we noticed several properties we believe to be unknown today. For instance, we found injections of correct static IPs for some domains such as google.com on the DNS level, unclear HTTP version parsing, and correlations between DNS and HTTP censorship. In this paper, we present our findings to the community and discuss possible takeaways for affected people and the censorship circumvention community. As some of our findings left us bewildered, we hope to ignite a discussion about Iran’s censorship behavior. We aim to use the discussion of our work to execute a thorough analysis and explanation of Iran’s censorship behavior in the future.}},
  author       = {{Lange, Felix and Niere, Niklas and von Niessen, Jonathan and Suermann, Dennis and Heitmann, Nico and Somorovsky, Juraj}},
  booktitle    = {{Proceedings on Privacy Enhancing Technologies}},
  location     = {{Virtual}},
  title        = {{{I(ra)nconsistencies: Novel Insights into Iran’s Censorship}}},
  year         = {{2025}},
}

@book{66747,
  author       = {{Krauter, Stefan and Ofenheusle, Christian and Haselhuhn, Ralf}},
  isbn         = {{ 978-3-527-72181-8}},
  publisher    = {{Wiley-VCH, Weinheim}},
  title        = {{{Balkonkraftwerke kompakt für Dummies}}},
  year         = {{2025}},
}

@article{60891,
  abstract     = {{Straight dielectric waveguide channels made from slabs of thin-film lithium niobate (TFLN), or lithium niobate on insulator (LNOI), are investigated in the linear regime, for channels of rib and strip type with common trapezoidal cross sections, in Z-cut and X-cut samples at varying on-chip orientation. We clarify the theoretical basis for the waveguides with potentially non-diagonal core permittivity. Symmetry classes can be distinguished that differ in their consequences for potential modal degeneracy and polarization conversion. Our rigorous numerical analysis by means of a finite-element solver takes the anisotropy of the lithium niobate cores rigorously into account. We discuss extensive data for effective indices, polarization properties, and hybridization of guided modes, in single- and multimode channels. Scans over the waveguide width and orientation as primary parameters are complemented by a series of illustrations of vectorial mode profiles. These turn out to be essentially complex in cases of X-cut channels at non-crystal-axis-aligned orientations.}},
  author       = {{Hammer, Manfred and Khan, Shahriar and Taheri, Behnood and Farheen, Henna and Förstner, Jens}},
  issn         = {{2770-0208}},
  journal      = {{Optics Continuum}},
  keywords     = {{tet_topic_waveguide}},
  number       = {{10}},
  pages        = {{2356}},
  publisher    = {{Optica Publishing Group}},
  title        = {{{TFLN channel waveguides of rib and strip type: Properties of guided modes}}},
  doi          = {{10.1364/optcon.569959}},
  volume       = {{4}},
  year         = {{2025}},
}

@inproceedings{48632,
  abstract     = {{Digital Servitization is one of the significant trends affecting the manufacturing industry. Companies try to tackle challenges regarding their differentiation and profitability using digital services. One specific type of digital services are smart services, which are digital services built on data from smart products. Introducing these kinds of offerings into the portfolio of manufacturing companies is not trivial. Moreover, they require conscious action to align all relevant capabilities to realize the respective business goals. However, what capabilities are generally relevant for smart services remains opaque. We conducted a systematic literature review to identify them and extended the results through an interview study. Our analysis results in 78 capabilities clustered among 12 principles and six dimensions. These results provide significant support for the smart service transformation of manufacturing companies and for structuring the research field of smart services.}},
  author       = {{Koldewey, Christian and Fichtler, Timm and Scholtysik, Michel and Biehler, Jan and Schreiner, Nick and Sommer, Franziska and Schacht, Maximilian and Kaufmann, Jonas and Rabe, Martin and Sedlmeier, Joachim and Dumitrescu, Roman}},
  keywords     = {{Digital Servitization, Transformation, Capabilities, Maturity, Smart Services}},
  location     = {{Hawaii}},
  title        = {{{Exploring Capabilities for the Smart Service Transformation in Manufacturing: Insights from Theory and Practice}}},
  year         = {{2024}},
}

@inproceedings{49354,
  author       = {{Afroze, Lameya and Merkelbach, Silke and von Enzberg, Sebastian and Dumitrescu, Roman}},
  booktitle    = {{ML4CPS 2023}},
  location     = {{Hamburg}},
  title        = {{{Domain Knowledge Injection Guidance for Predictive Maintenance}}},
  year         = {{2024}},
}

@inproceedings{49364,
  author       = {{Scholtysik, Michel and Rohde, Malte and Koldewey, Christian and Dumitrescu, Roman}},
  title        = {{{Business strategy taxonomy and solution patterns for the circular economy}}},
  year         = {{2024}},
}

@unpublished{51160,
  abstract     = {{We rigorously derive novel and sharp finite-data error bounds for highly
sample-efficient Extended Dynamic Mode Decomposition (EDMD) for both i.i.d. and
ergodic sampling. In particular, we show all results in a very general setting
removing most of the typically imposed assumptions such that, among others,
discrete- and continuous-time stochastic processes as well as nonlinear partial
differential equations are contained in the considered system class. Besides
showing an exponential rate for i.i.d. sampling, we prove, to the best of our
knowledge, the first superlinear convergence rates for ergodic sampling of
deterministic systems. We verify sharpness of the derived error bounds by
conducting numerical simulations for highly-complex applications from molecular
dynamics and chaotic flame propagation.}},
  author       = {{Philipp, Friedrich M. and Schaller, Manuel and Boshoff, Septimus and Peitz, Sebastian and Nüske, Feliks and Worthmann, Karl}},
  booktitle    = {{arXiv:2402.02494}},
  title        = {{{Extended Dynamic Mode Decomposition: Sharp bounds on the sample  efficiency}}},
  year         = {{2024}},
}

@article{51208,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>Approximation of subdifferentials is one of the main tasks when computing descent directions for nonsmooth optimization problems. In this article, we propose a bisection method for weakly lower semismooth functions which is able to compute new subgradients that improve a given approximation in case a direction with insufficient descent was computed. Combined with a recently proposed deterministic gradient sampling approach, this yields a deterministic and provably convergent way to approximate subdifferentials for computing descent directions.</jats:p>}},
  author       = {{Gebken, Bennet}},
  issn         = {{0926-6003}},
  journal      = {{Computational Optimization and Applications}},
  keywords     = {{Applied Mathematics, Computational Mathematics, Control and Optimization}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{A note on the convergence of deterministic gradient sampling in nonsmooth optimization}}},
  doi          = {{10.1007/s10589-024-00552-0}},
  year         = {{2024}},
}

@article{46019,
  abstract     = {{We derive efficient algorithms to compute weakly Pareto optimal solutions for smooth, convex and unconstrained multiobjective optimization problems in general Hilbert spaces. To this end, we define a novel inertial gradient-like dynamical system in the multiobjective setting, which trajectories converge weakly to Pareto optimal solutions. Discretization of this system yields an inertial multiobjective algorithm which generates sequences that converge weakly to Pareto optimal solutions. We employ Nesterov acceleration to define an algorithm with an improved convergence rate compared to the plain multiobjective steepest descent method (Algorithm 1). A further improvement in terms of efficiency is achieved by avoiding the solution of a quadratic subproblem to compute a common step direction for all objective functions, which is usually required in first-order methods. Using a different discretization of our inertial gradient-like dynamical system, we obtain an accelerated multiobjective gradient method that does not require the solution of a subproblem in each step (Algorithm 2). While this algorithm does not converge in general, it yields good results on test problems while being faster than standard steepest descent.}},
  author       = {{Sonntag, Konstantin and Peitz, Sebastian}},
  journal      = {{Journal of Optimization Theory and Applications}},
  publisher    = {{Springer}},
  title        = {{{Fast Multiobjective Gradient Methods with Nesterov Acceleration via Inertial Gradient-Like Systems}}},
  doi          = {{10.1007/s10957-024-02389-3}},
  year         = {{2024}},
}

@unpublished{51334,
  abstract     = {{The efficient optimization method for locally Lipschitz continuous multiobjective optimization problems from [1] is extended from finite-dimensional problems to general Hilbert spaces. The method iteratively computes Pareto critical points, where in each iteration, an approximation of the subdifferential is computed in an efficient manner and then used to compute a common descent direction for all objective functions. To prove convergence, we present some new optimality results for nonsmooth multiobjective optimization problems in Hilbert spaces. Using these, we can show that every accumulation point of the sequence generated by our algorithm is Pareto critical under common assumptions. Computational efficiency for finding Pareto critical points is numerically demonstrated for multiobjective optimal control of an obstacle problem.}},
  author       = {{Sonntag, Konstantin and Gebken, Bennet and Müller, Georg and Peitz, Sebastian and Volkwein, Stefan}},
  booktitle    = {{arXiv:2402.06376}},
  title        = {{{A Descent Method for Nonsmooth Multiobjective Optimization in Hilbert Spaces}}},
  year         = {{2024}},
}

@article{40171,
  abstract     = {{We present a convolutional framework which significantly reduces the complexity and thus, the computational effort for distributed reinforcement learning control of dynamical systems governed by partial differential equations (PDEs). Exploiting translational equivariances, the high-dimensional distributed control problem can be transformed into a multi-agent control problem with many identical, uncoupled agents. Furthermore, using the fact that information is transported with finite velocity in many cases, the dimension of the agents’ environment can be drastically reduced using a convolution operation over the state space of the PDE, by which we effectively tackle the curse of dimensionality otherwise present in deep reinforcement learning. In this setting, the complexity can be flexibly adjusted via the kernel width or by using a stride greater than one (meaning that we do not place an actuator at each sensor location). Moreover, scaling from smaller to larger domains – or the transfer between different domains – becomes a straightforward task requiring little effort. We demonstrate the performance of the proposed framework using several PDE examples with increasing complexity, where stabilization is achieved by training a low-dimensional deep deterministic policy gradient agent using minimal computing resources.}},
  author       = {{Peitz, Sebastian and Stenner, Jan and Chidananda, Vikas and Wallscheid, Oliver and Brunton, Steven L. and Taira, Kunihiko}},
  journal      = {{Physica D: Nonlinear Phenomena}},
  pages        = {{134096}},
  publisher    = {{Elsevier}},
  title        = {{{Distributed Control of Partial Differential Equations Using  Convolutional Reinforcement Learning}}},
  doi          = {{10.1016/j.physd.2024.134096}},
  volume       = {{461}},
  year         = {{2024}},
}

@misc{52318,
  author       = {{Dorociak, Svitlana}},
  title        = {{{Implementierung eines Algorithmus zur motivbasierten Schnitt-Sparsifizierung}}},
  year         = {{2024}},
}

@article{33461,
  abstract     = {{Data-driven models for nonlinear dynamical systems based on approximating the underlying Koopman operator or generator have proven to be successful tools for forecasting, feature learning, state estimation, and control. It has become well known that the Koopman generators for control-affine systems also have affine dependence on the input, leading to convenient finite-dimensional bilinear approximations of the dynamics. Yet there are still two main obstacles that limit the scope of current approaches for approximating the Koopman generators of systems with actuation. First, the performance of existing methods depends heavily on the choice of basis functions over which the Koopman generator is to be approximated; and there is currently no universal way to choose them for systems that are not measure preserving. Secondly, if we do not observe the full state, we may not gain access to a sufficiently rich collection of such functions to describe the dynamics. This is because the commonly used method of forming time-delayed observables fails when there is actuation. To remedy these issues, we write the dynamics of observables governed by the Koopman generator as a bilinear hidden Markov model, and determine the model parameters using the expectation-maximization (EM) algorithm. The E-step involves a standard Kalman filter and smoother, while the M-step resembles control-affine dynamic mode decomposition for the generator. We demonstrate the performance of this method on three examples, including recovery of a finite-dimensional Koopman-invariant subspace for an actuated system with a slow manifold; estimation of Koopman eigenfunctions for the unforced Duffing equation; and model-predictive control of a fluidic pinball system based only on noisy observations of lift and drag.}},
  author       = {{Otto, Samuel E. and Peitz, Sebastian and Rowley, Clarence W.}},
  journal      = {{SIAM Journal on Applied Dynamical Systems}},
  number       = {{1}},
  pages        = {{885--923}},
  publisher    = {{SIAM}},
  title        = {{{Learning Bilinear Models of Actuated Koopman Generators from  Partially-Observed Trajectories}}},
  doi          = {{10.1137/22M1523601}},
  volume       = {{23}},
  year         = {{2024}},
}

@misc{52663,
  abstract     = {{Context
Static analyses are well-established to aid in understanding bugs or vulnerabilities during the development process or in large-scale studies. A low false-positive rate is essential for the adaption in practice and for precise results of empirical studies. Unfortunately, static analyses tend to report where a vulnerability manifests rather than the fix location. This can cause presumed false positives or imprecise results.
Method
To address this problem, we designed an adaption of an existing static analysis algorithm that can distinguish between a manifestation and fix location, and reports error chains. An error chain represents at least two interconnected errors that occur successively, thus building the connection between the fix and manifestation location. We used our tool CogniCryptSUBS for a case study on 471 GitHub repositories, a performance benchmark to compare different analysis configurations, and conducted an expert interview.
Result
We found that 50 % of the projects with a report had at least one error chain. Our runtime benchmark demonstrated that our improvement caused only a minimal runtime overhead of less than 4 %. The results of our expert interview indicate that with our adapted version participants require fewer executions of the analysis.
Conclusion
Our results indicate that error chains occur frequently in real-world projects, and ignoring them can lead to imprecise evaluation results. The runtime benchmark indicates that our tool is a feasible and efficient solution for detecting error chains in real-world projects. Further, our results gave a hint that the usability of static analyses may benefit from supporting error chains.}},
  author       = {{Wickert, Anna-Katharina and Schlichtig, Michael and Vogel, Marvin and Winter, Lukas and Mezini, Mira and Bodden, Eric}},
  keywords     = {{Static analysis, error chains, false positive re- duction, empirical studies}},
  title        = {{{Supporting Error Chains in Static Analysis for Precise Evaluation Results and Enhanced Usability}}},
  year         = {{2024}},
}

