TY - CONF AU - Jafarzadeh, Hanieh AU - Klemme, Florian AU - Amrouch, Hussam AU - Hellebrand, Sybille AU - Wunderlich, Hans-Joachim ID - 52744 T2 - European Test Symposium, The Hague, Netherlands, May 20-24, 2024 TI - Time and Space Optimized Storage-based BIST under Multiple Voltages and Variations ER - TY - CONF AU - Jafarzadeh, Hanieh AU - Klemme, Florian AU - Amrouch, Hussam AU - Hellebrand, Sybille AU - Wunderlich, Hans-Joachim ID - 52742 T2 - IEEE Latin American Test Symposium (LATS), Maceió, Brazil, April 9-12, 2024 TI - Vmin Testing under Variations: Defect vs. Fault Coverage ER - TY - CONF AU - Hellebrand, Sybille AU - Sadeghi-Kohan, Somayeh AU - Wunderlich, Hans-Joachim ID - 52743 T2 - International Symposium of EDA (ISEDA), Xi'an, China, May 10-13, 2024 TI - Functional Safety and Reliability of Interconnects throughout the Silicon Life Cycle ER - TY - CONF AU - Lebedeva, Anastasia AU - Protte, Marius AU - van Straaten, Dirk AU - Fahr, René ID - 48387 T2 - Advances in Information and Communication TI - Involvement of domain experts in the AI training does not affect adherence – An AutoML study VL - 919 ER - TY - CONF AU - Wunderlich, Hans-Joachim AU - Jafarzadeh, Hanieh AU - Hellebrand, Sybille ID - 52745 T2 - International Symposium of EDA (ISEDA), Xi’an, China, May 10-13, 2024 TI - Robust Test of Small Delay Faults under PVT-Variations ER - TY - GEN AU - Stiballe, Alisa AU - Reimer, Jan Dennis AU - Sadeghi-Kohan, Somayeh AU - Hellebrand, Sybille ID - 50284 TI - Modeling Crosstalk-induced Interconnect Delay with Polynomial Regression ER - TY - GEN AU - Ustimova, Magdalina AU - Sadeghi-Kohan, Somayeh AU - Hellebrand, Sybille ID - 51799 TI - Crosstalk-Aware Simulation of Interconnects Using Artificial Neural Networks ER - TY - JOUR AU - Harder, Hans AU - Peitz, Sebastian ID - 52758 TI - On the continuity and smoothness of the value function in reinforcement learning and optimal control ER - TY - CONF AU - Hu, Lijie AU - Habernal, Ivan AU - Shen, Lei AU - Wang, Di ED - Graham, Yvette ED - Purver, Matthew ID - 52827 T2 - Findings of the Association for Computational Linguistics: EACL 2024, St. Julian’s, Malta, March 17-22, 2024 TI - Differentially Private Natural Language Models: Recent Advances and Future Directions ER - TY - CONF AB - 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. AU - Igamberdiev, Timour AU - Vu, Doan Nam Long AU - Kuennecke, Felix AU - Yu, Zhuo AU - Holmer, Jannik AU - Habernal, Ivan ED - Aletras, Nikolaos ED - De Clercq, Orphee ID - 52842 T2 - Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations TI - DP-NMT: Scalable Differentially Private Machine Translation ER - TY - CONF AB - What is preventing us from building a NLP system that could help real people in real situations, for instance when they need legal advice but don{’}t understand law? This question is trickier than one might think, because legal systems vary from country to country, so do the law books, availability of data, and incomprehensibility of legalese. In this paper we focus Germany (which employs the civil-law system where, roughly speaking, interpretation of law codes dominates over precedence) and lay a foundational work to address the laymen{’}s legal question answering empirically. We create GerLayQA, a new dataset comprising of 21k laymen{’}s legal questions paired with answers from lawyers and grounded to concrete law book paragraphs. We experiment with a variety of retrieval and answer generation models and provide an in-depth analysis of limitations, which helps us to provide first empirical answers to the question above. AU - Büttner, Marius AU - Habernal, Ivan ED - Graham, Yvette ED - Purver, Matthew ID - 52841 T2 - Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers) TI - Answering legal questions from laymen in German civil law system ER - TY - JOUR AB - Due to the hydrolytic instability of LiPF6 in carbonate-based solvents, HF is a typical impurity in Li-ion battery electrolytes. HF significantly influences the performance of Li-ion batteries, for example by impacting the formation of the solid electrolyte interphase at the anode and by affecting transition metal dissolution at the cathode. Additionally, HF complicates studying fundamental interfacial electrochemistry of Li-ion battery electrolytes, such as direct anion reduction, because it is electrocatalytically relatively unstable, resulting in LiF passivation layers. Methods to selectively remove ppm levels of HF from LiPF6-containing carbonate-based electrolytes are limited. We introduce and benchmark a simple yet efficient electrochemical in situ method to selectively remove ppm amounts of HF from LiPF6-containing carbonate-based electrolytes. The basic idea is the application of a suitable potential to a high surface-area metallic electrode upon which only HF reacts (electrocatalytically) while all other electrolyte components are unaffected under the respective conditions. AU - Ge, Xiaokun AU - Huck, Marten AU - Kuhlmann, Andreas AU - Tiemann, Michael AU - Weinberger, Christian AU - Xu, Xiaodan AU - Zhao, Zhenyu AU - Steinrueck, Hans-Georg ID - 52372 JF - Journal of The Electrochemical Society KW - Materials Chemistry KW - Electrochemistry KW - Surfaces KW - Coatings and Films KW - Condensed Matter Physics KW - Renewable Energy KW - Sustainability and the Environment KW - Electronic KW - Optical and Magnetic Materials SN - 0013-4651 TI - Electrochemical Removal of HF from Carbonate-based LiPF6-containing Li-ion Battery Electrolytes VL - 171 ER - TY - JOUR AU - Bathelt, Lukas AU - Djakow, Eugen AU - Henke, Christian AU - Trächtler, Ansgar ID - 52871 JF - Procedia Computer Science KW - General Engineering SN - 1877-0509 TI - Innovative measurement system for saber curvature observation in straightening processes VL - 232 ER - TY - GEN AU - Baumann, Martin AU - Bengler, Klaus AU - Berndt-Tolzmann, Sandro AU - Brettin, Leon Johann AU - Diermeyer, Frank AU - Fastenmeier, Wolfgang AU - Fleischer, Torsten AU - Flemisch, Frank AU - Frey, Alexander AU - Gräcmann, Nicole AU - Hardes, Tobias AU - Herzberger, Nicolas AU - Hesse, Tobias AU - Huetten, Manuela AU - Klingler, Florian AU - Jipp, Meike AU - Kolarova, Viktoriya AU - Kühn, Matthias AU - Maag, Christian AU - Marx, Torsten AU - Maurer, Markus AU - Merkel, Nora AU - Oehl, Michael AU - Oubaid, Viktor AU - Plum, Lena AU - Riegelhuth, Gerd AU - Salem, Nayel Fabian AU - Schrank, Andreas AU - Shi, Elisabeth AU - Sommer, Christoph AU - Wasser, Joscha AU - Wietfeld, Christian ID - 52872 TI - Abschlussbericht der Arbeitsgruppe "Forschungsbedarf Teleoperation" ER - TY - JOUR AU - Arends, Christian AU - Wolf, Lasse Lennart AU - Meinecke, Jasmin AU - Barkhofen, Sonja AU - Weich, Tobias AU - Bartley, Tim ID - 52876 IS - 1 JF - Physical Review Research KW - General Physics and Astronomy SN - 2643-1564 TI - Decomposing large unitaries into multimode devices of arbitrary size VL - 6 ER - TY - JOUR AU - Boeddeker, Christoph AU - Subramanian, Aswin Shanmugam AU - Wichern, Gordon AU - Haeb-Umbach, Reinhold AU - Le Roux, Jonathan ID - 52958 JF - IEEE/ACM Transactions on Audio, Speech, and Language Processing KW - Electrical and Electronic Engineering KW - Acoustics and Ultrasonics KW - Computer Science (miscellaneous) KW - Computational Mathematics SN - 2329-9290 TI - TS-SEP: Joint Diarization and Separation Conditioned on Estimated Speaker Embeddings VL - 32 ER - TY - GEN AU - Eremin, Oxana ID - 53060 IS - 1 T2 - GENDER. Zeitschrift für Geschlecht, Kultur und Gesellschaft TI - Rezension zu: Corinna Schmechel (2022). Auspowern und Empowern? Eine Ethnohraphie queerer Fitnesskultur. Bielefeld. VL - 16 ER - TY - GEN ED - Eremin, Oxana ED - Langer, Antje ED - Mattei, Annalisa ED - Mahs, Claudia ID - 53065 IS - 1 T2 - GENDER. Zeitschrift für Geschlecht, Kultur und Gesellschaft TI - Reproduktionspolitiken und Selbstbestimmung VL - 16 ER - TY - JOUR AB - Für eine gelingende Umsetzung schulischer Inklusion gilt eine professionelle Weiterbildung der Lehrkräfte und des weiteren Schulpersonals als unverzichtbare Voraussetzung, um eine effektive Teamarbeit sowie die Einbindung von Eltern[i] in Erziehungs- und Bildungsprozesse zu gewährleisten. Im Projekt BiFoKi[ii] (Bielefelder Fortbildungskonzept zur Kooperation in inklusiven Schulen) wurde eine Fortbildungsmaßnahme für inklusive Schulen entwickelt, die sowohl die intrainstitutionelle Kooperation innerhalb der Schule als auch die interinstitutionelle Zusammenarbeit mit den Eltern der Schüler*innen mit und ohne sonderpädagogischen Unterstützungsbedarf adressiert. Die Fortbildung zielt u.a. darauf ab, durch eine im Jahrgangsteam gemeinsam geplante und verantwortete Elternarbeit eine einladende Atmosphäre zu schaffen, Kommunikationswege an diverser werdende Bedarfe der Eltern und der Schüler*innen anzupassen und Eltern stärker in schulische Bildungsprozesse einzubeziehen. Zur Evaluation der Fortbildung wurde eine quasi-experimentelle Studie mit einem Prä-Post-Kontrollgruppendesign realisiert. Längsschnittliche Daten liegen für 55 Lehr- und Fachkräfte vor. Die Ergebnisse der varianzanalytischen Auswertung zeigen, dass sich die Einschätzungen zur Kooperationsbereitschaft der Eltern sowie das selbstberichtete Kooperationsverhalten im Bereich der Erziehungs- und Bildungskooperation in der Interventionsgruppe nach der Teilnahme an der Fortbildung signifikant positiver entwickelt hat als in der Kontrollgruppe.   [i] Mit dem Begriff Eltern sind hier alle erziehungs- bzw. sorgeberechtigten Personen gemeint. [ii] Hinweis zur Finanzierung: Das diesem Beitrag zugrunde liegende Vorhaben BiFoKi (Bielefelder Fortbildungskonzept zur Kooperation in inklusiven Schulen) wurde mit Mitteln des Bundesministeriums für Bildung und Forschung unter dem Förderkennzeichen 01NV1732in der Förderlinie „Qualifizierung der pädagogischen Fachkräfte für inklusive Bildung“ gefördert (Projektleitung: Birgit Lütje-Klose, Elke Wild, Julia Gorges und Phillip Neumann). Abstract To implement inclusive education successfully, it is crucial that teachers and other school staff are trained to cooperate effectively as a team and to involve parents in educational processes. In the project BiFoKi (Bielefeld Training on Cooperation in inclusive), we developed an in-service training for inclusive schools that addresses the intra-institutional cooperation within schools and the inter-institutional cooperation with the parents of students with and without special educational needs. The training aims to prepare grade-level teams to create a welcoming atmosphere, adapt communication ways to the diverse needs of parents and students and to involve parents more strongly in school educational processes. To evaluate the effectiveness of the training, a quasi-experimental study with a pre-post control group design was implemented. Longitudinal data is available for 55 teachers and other professionals. The results indicate that the intervention group demonstrated a more positive development in terms of satisfaction with parents' willingness to cooperate as well as self-reported cooperative behavior in the area of educational cooperation, compared to the control group. AU - Grüter, Sandra AU - Gorges, Julia AU - Lütje-Klose, Birgit AU - Neumann, Phillip AU - Wild, Elke ID - 53068 IS - 3 JF - QfI - Qualifizierung für Inklusion. Online-Zeitschrift zur Forschung über Aus-, Fort- und Weiterbildung pädagogischer Fachkräfte KW - General Medicine SN - 2699-2477 TI - Jahrgangsteams zur Kooperation mit Eltern anregen – eine Aufgabe für Fortbildungen? Evaluationsergebnisse zum Bielefelder Fortbildungskonzept zur Kooperation in inklusiven Schulen (BiFoKi) VL - 5 ER - TY - JOUR AB - While shallow decision trees may be interpretable, larger ensemble models like gradient-boosted trees, which often set the state of the art in machine learning problems involving tabular data, still remain black box models. As a remedy, the Shapley value (SV) is a well-known concept in explainable artificial intelligence (XAI) research for quantifying additive feature attributions of predictions. The model-specific TreeSHAP methodology solves the exponential complexity for retrieving exact SVs from tree-based models. Expanding beyond individual feature attribution, Shapley interactions reveal the impact of intricate feature interactions of any order. In this work, we present TreeSHAP-IQ, an efficient method to compute any-order additive Shapley interactions for predictions of tree-based models. TreeSHAP-IQ is supported by a mathematical framework that exploits polynomial arithmetic to compute the interaction scores in a single recursive traversal of the tree, akin to Linear TreeSHAP. We apply TreeSHAP-IQ on state-of-the-art tree ensembles and explore interactions on well-established benchmark datasets. AU - Muschalik, Maximilian AU - Fumagalli, Fabian AU - Hammer, Barbara AU - Huellermeier, Eyke ID - 53073 IS - 13 JF - Proceedings of the AAAI Conference on Artificial Intelligence KW - Explainable Artificial Intelligence SN - 2374-3468 TI - Beyond TreeSHAP: Efficient Computation of Any-Order Shapley Interactions for Tree Ensembles VL - 38 ER -