@inproceedings{52842,
  abstract     = {{Neural machine translation (NMT) is a widely popular text generation task, yet there is a considerable research gap in the development of privacy-preserving NMT models, despite significant data privacy concerns for NMT systems. Differentially private stochastic gradient descent (DP-SGD) is a popular method for training machine learning models with concrete privacy guarantees; however, the implementation specifics of training a model with DP-SGD are not always clarified in existing models, with differing software libraries used and code bases not always being public, leading to reproducibility issues. To tackle this, we introduce DP-NMT, an open-source framework for carrying out research on privacy-preserving NMT with DP-SGD, bringing together numerous models, datasets, and evaluation metrics in one systematic software package. Our goal is to provide a platform for researchers to advance the development of privacy-preserving NMT systems, keeping the specific details of the DP-SGD algorithm transparent and intuitive to implement. We run a set of experiments on datasets from both general and privacy-related domains to demonstrate our framework in use. We make our framework publicly available and welcome feedback from the community.}},
  author       = {{Igamberdiev, Timour and Vu, Doan Nam Long and Kuennecke, Felix and Yu, Zhuo and Holmer, Jannik and Habernal, Ivan}},
  booktitle    = {{Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations}},
  editor       = {{Aletras, Nikolaos and De Clercq, Orphee}},
  pages        = {{94–105}},
  publisher    = {{Association for Computational Linguistics}},
  title        = {{{DP-NMT: Scalable Differentially Private Machine Translation}}},
  year         = {{2024}},
}

@article{53101,
  abstract     = {{In this work, we consider optimal control problems for mechanical systems with fixed initial and free final state and a quadratic Lagrange term. Specifically, the dynamics is described by a second order ODE containing an affine control term. Classically, Pontryagin's maximum principle gives necessary optimality conditions for the optimal control problem. For smooth problems, alternatively, a variational approach based on an augmented objective can be followed. Here, we propose a new Lagrangian approach leading to equivalent necessary optimality conditions in the form of Euler-Lagrange equations. Thus, the differential geometric structure (similar to classical Lagrangian dynamics) can be exploited in the framework of optimal control problems. In particular, the formulation enables the symplectic discretisation of the optimal control problem via variational integrators in a straightforward way.}},
  author       = {{Leyendecker, Sigrid and Maslovskaya, Sofya and Ober-Blöbaum, Sina and Almagro, Rodrigo T. Sato Martín de and Szemenyei, Flóra Orsolya}},
  issn         = {{2158-2491}},
  journal      = {{Journal of Computational Dynamics}},
  keywords     = {{Optimal control problem, Lagrangian system, Hamiltonian system, Variations, Pontryagin's maximum principle.}},
  pages        = {{0--0}},
  publisher    = {{American Institute of Mathematical Sciences (AIMS)}},
  title        = {{{A new Lagrangian approach to control affine systems with a quadratic Lagrange term}}},
  doi          = {{10.3934/jcd.2024017}},
  year         = {{2024}},
}

@unpublished{53282,
  abstract     = {{Modern wireless communication systems are expected to provide improved
latency and reliability. To meet these expectations, a short packet length is
needed, which makes the first-order Shannon rate an inaccurate performance
metric for such communication systems. A more accurate approximation of the
achievable rates of finite-block-length (FBL) coding regimes is known as the
normal approximation (NA). It is therefore of substantial interest to study the
optimization of the FBL rate in multi-user multiple-input multiple-output
(MIMO) systems, in which each user may transmit and/or receive multiple data
streams. Hence, we formulate a general optimization problem for improving the
spectral and energy efficiency of multi-user MIMO-aided ultra-reliable
low-latency communication (URLLC) systems, which are assisted by reconfigurable
intelligent surfaces (RISs). We show that a RIS is capable of substantially
improving the performance of multi-user MIMO-aided URLLC systems. Moreover, the
benefits of RIS increase as the packet length and/or the tolerable bit error
rate are reduced. This reveals that RISs can be even more beneficial in URLLC
systems for improving the FBL rates than in conventional systems approaching
Shannon rates.}},
  author       = {{Soleymani, Mohammad and Santamaria, Ignacio and Jorswieck, Eduard and Schober, Robert and Hanzo, Lajos}},
  booktitle    = {{arXiv:2402.16434}},
  title        = {{{Optimization of the Downlink Spectral- and Energy-Efficiency of  RIS-aided Multi-user URLLC MIMO Systems}}},
  year         = {{2024}},
}

@inproceedings{53259,
  author       = {{Soleymani, Mohammad and Santamaria, Ignacio and Sezgin, Aydin and Jorswieck, Eduard}},
  booktitle    = {{2023 IEEE 9th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)}},
  publisher    = {{IEEE}},
  title        = {{{Maximization of Minimum Rate in MIMO OFDM RIS-Assisted Broadcast Channels}}},
  doi          = {{10.1109/camsap58249.2023.10403459}},
  year         = {{2024}},
}

@inproceedings{53258,
  author       = {{Soleymani, Mohammad and Santamaria, Ignacio and Jorswieck, Eduard}},
  booktitle    = {{GLOBECOM 2023 - 2023 IEEE Global Communications Conference}},
  publisher    = {{IEEE}},
  title        = {{{NOMA-Based Improper Signaling for MIMO STAR-RIS-Assisted Broadcast Channels with Hardware Impairments}}},
  doi          = {{10.1109/globecom54140.2023.10437458}},
  year         = {{2024}},
}

@inproceedings{53304,
  author       = {{Kuschel, Maurice and Hasija, Tanuj and Marrinan, Timothy}},
  booktitle    = {{ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}},
  publisher    = {{IEEE}},
  title        = {{{Rademacher Complexity Regularization for Correlation-Based Multiview Representation Learning}}},
  doi          = {{10.1109/icassp48485.2024.10446173}},
  year         = {{2024}},
}

@misc{53374,
  author       = {{De Groote, Carsten}},
  title        = {{{A Dispersion Algorithm for Robot Swarms Inside Polygonal Boundary Shapes}}},
  year         = {{2024}},
}

@misc{53373,
  author       = {{Doddegowda, Rajesh}},
  title        = {{{Optimal Drone Strategies For Packet Delivery}}},
  year         = {{2024}},
}

@misc{53372,
  author       = {{Thakur, Heena}},
  title        = {{{Evaluating the Implications}}},
  year         = {{2024}},
}

@article{38031,
  abstract     = {{We consider the data-driven approximation of the Koopman operator for
stochastic differential equations on reproducing kernel Hilbert spaces (RKHS).
Our focus is on the estimation error if the data are collected from long-term
ergodic simulations. We derive both an exact expression for the variance of the
kernel cross-covariance operator, measured in the Hilbert-Schmidt norm, and
probabilistic bounds for the finite-data estimation error. Moreover, we derive
a bound on the prediction error of observables in the RKHS using a finite
Mercer series expansion. Further, assuming Koopman-invariance of the RKHS, we
provide bounds on the full approximation error. Numerical experiments using the
Ornstein-Uhlenbeck process illustrate our results.}},
  author       = {{Philipp, Friedrich and Schaller, Manuel and Worthmann, Karl and Peitz, Sebastian and Nüske, Feliks}},
  journal      = {{Applied and Computational Harmonic Analysis }},
  publisher    = {{Springer }},
  title        = {{{Error bounds for kernel-based approximations of the Koopman operator}}},
  doi          = {{10.1016/j.acha.2024.101657}},
  volume       = {{71}},
  year         = {{2024}},
}

@article{53474,
  abstract     = {{We present a novel approach to characterize and quantify microheterogeneity and microphase separation in computer simulations of complex liquid mixtures. Our post-processing method is based on local density fluctuations of the different constituents in sampling spheres of varying size. It can be easily applied to both molecular dynamics (MD) and Monte Carlo (MC) simulations, including periodic boundary conditions. Multidimensional correlation of the density distributions yields a clear picture of the domain formation due to the subtle balance of different interactions. We apply our approach to the example of force field molecular dynamics simulations of imidazolium-based ionic liquids with different side chain lengths at different temperatures, namely 1-ethyl-3-methylimidazolium chloride, 1-hexyl-3-methylimidazolium chloride, and 1-decyl-3-methylimidazolium chloride, which are known to form distinct liquid domains. We put the results into the context of existing microheterogeneity analyses and demonstrate the advantages and sensitivity of our novel method. Furthermore, we show how to estimate the configuration entropy from our analysis, and we investigate voids in the system. The analysis has been implemented into our program package TRAVIS and is thus available as free software.}},
  author       = {{Lass, Michael and Kenter, Tobias and Plessl, Christian and Brehm, Martin}},
  issn         = {{1099-4300}},
  journal      = {{Entropy}},
  number       = {{4}},
  publisher    = {{MDPI AG}},
  title        = {{{Characterizing Microheterogeneity in Liquid Mixtures via Local Density Fluctuations}}},
  doi          = {{10.3390/e26040322}},
  volume       = {{26}},
  year         = {{2024}},
}

@article{52584,
  author       = {{Rezat, Sebastian}},
  journal      = {{ZDM – Mathematics Education}},
  publisher    = {{Springer}},
  title        = {{{Research on curriculum resources in mathematics education: a survey of the field}}},
  doi          = {{10.1007/s11858-024-01559-x}},
  year         = {{2024}},
}

@article{51841,
  abstract     = {{athematische Kompetenzen digital zu fördern und digitale Kompetenzen mathematisch zu fördern – dies ist eine Forderung der neuen Bildungsstandards mit Blick auf eine Bildung in der digitalen Welt. Gerade das Potenzial digitaler Medien für das fachliche Lernen wurde in vielen Studien bestätigt. Eine sinnvoll gestaltete Einbettung digitaler Medien bietet die Chance, allen fünf Prinzipien eines guten Unterrichts gerecht zu werden: Verstehensorientierung, Durchgängigkeit, kognitive Aktivierung, Lernendenorientierung & Adaptivität und Kommunikationsförderung. Die flächendeckende Nutzung digitaler Medien etabliert sich bislang nur zögerlich. Aber wie können wir Lehrkräfte stärken, digitale Medien sinnvoll einzusetzen? Wir möchten hier die Bandbreite der Möglichkeiten an Beispielen verdeutlichen, ihren Einsatz motivieren und Wege für einen guten Unterricht aufzeigen.}},
  author       = {{Barzel, Bärbel and Greefrath, Gilbert and Nagel, Mareike and Hoffmann, Max}},
  journal      = {{mathematik lehren}},
  pages        = {{42 -- 47}},
  title        = {{{Digitalisierung als Chance für alle Prinzipien guten Unterrichts}}},
  volume       = {{242}},
  year         = {{2024}},
}

@inbook{50554,
  author       = {{Prediger, Susanne and Wessel, Lena}},
  booktitle    = {{Berufs-und Fachsprache Deutsch in Wissenschaft und Praxis}},
  editor       = {{Efing, Christian and Kalkavan-Aydin, Zeynep}},
  isbn         = {{978-3-11-074544-3}},
  pages        = {{363--372}},
  publisher    = {{DE GRUYTER}},
  title        = {{{31 Sprachbildung im berufsbezogenen Mathematikunterricht.}}},
  volume       = {{Band 3}},
  year         = {{2024}},
}

@inproceedings{53579,
  author       = {{Palomero Bernardo, Paul and Schmid, Patrick and Bringmann, Oliver and Iftekhar, Mohammed and Sadiye, Babak and Müller, Wolfgang and Koch, Andreas and Jentsch, Eyck and Sauer, Axel and Feldner, Ingo and Ecker, Wolfgang}},
  booktitle    = {{DATE 24 - Design Automation and Test in Europe}},
  location     = {{Valencia, Spain}},
  title        = {{{A Scalable RISC-V Hardware Platform for Intelligent Sensor Processing}}},
  year         = {{2024}},
}

@article{53663,
  abstract     = {{Noctua 2 is a supercomputer operated at the Paderborn Center for Parallel Computing (PC2) at Paderborn University in Germany. Noctua 2 was inaugurated in 2022 and is an Atos BullSequana XH2000 system. It consists mainly of three node types: 1) CPU Compute nodes with AMD EPYC processors in different main memory configurations, 2) GPU nodes with NVIDIA A100 GPUs, and 3) FPGA nodes with Xilinx Alveo U280 and Intel Stratix 10 FPGA cards. While CPUs and GPUs are known off-the-shelf components in HPC systems, the operation of a large number of FPGA cards from different vendors and a dedicated FPGA-to-FPGA network are unique characteristics of Noctua 2. This paper describes in detail the overall setup of Noctua 2 and gives insights into the operation of the cluster from a hardware, software and facility perspective.}},
  author       = {{Bauer, Carsten and Kenter, Tobias and Lass, Michael and Mazur, Lukas and Meyer, Marius and Nitsche, Holger and Riebler, Heinrich and Schade, Robert and Schwarz, Michael and Winnwa, Nils and Wiens, Alex and Wu, Xin and Plessl, Christian and Simon, Jens}},
  journal      = {{Journal of large-scale research facilities}},
  keywords     = {{Noctua 2, Supercomputer, FPGA, PC2, Paderborn Center for Parallel Computing}},
  title        = {{{Noctua 2 Supercomputer}}},
  doi          = {{10.17815/jlsrf-8-187 }},
  volume       = {{9}},
  year         = {{2024}},
}

@inproceedings{53643,
  author       = {{Amer, Abdelhakim and Mehndiratta, Mohit and le Fevre Sejersen, Jonas and Pham, Huy Xuan and Kayacan, Erdal}},
  booktitle    = {{2023 21st International Conference on Advanced Robotics (ICAR)}},
  publisher    = {{IEEE}},
  title        = {{{Visual Tracking Nonlinear Model Predictive Control Method for Autonomous Wind Turbine Inspection}}},
  doi          = {{10.1109/icar58858.2023.10406329}},
  year         = {{2024}},
}

@article{50476,
  author       = {{Krings, Sarah Claudia and Yigitbas, Enes}},
  journal      = {{Proceedings of the ACM on Human-Computer Interaction, EICS}},
  number       = {{251}},
  pages        = {{22}},
  publisher    = {{ACM}},
  title        = {{{TARPS: A Toolbox for Enhancing Privacy and Security for Collaborative AR}}},
  volume       = {{8}},
  year         = {{2024}},
}

@inproceedings{53815,
  author       = {{Yigitbas, Enes and Mazur, Janet}},
  booktitle    = {{Proceedings of the 17th International Conference on PErvasive Technologies Related to Assistive Environments (PETRA 2024)}},
  title        = {{{Augmented and Virtual Reality for Diet and Nutritional Education: A Systematic Literature Review}}},
  year         = {{2024}},
}

@article{53813,
  author       = {{Schmidt, Leonard and Yigitbas, Enes}},
  journal      = {{Proceedings of the ACM on Human-Computer Interaction, EICS}},
  number       = {{263}},
  pages        = {{31}},
  title        = {{{Development and Usability Evaluation of Transitional Cross-Reality Interfaces}}},
  volume       = {{8}},
  year         = {{2024}},
}

