@article{67314,
  author       = {{Harder, Hans and Peitz, Sebastian and Nüske, Feliks and Philipp, Friedrich and Schaller, Manuel and Worthmann, Karl}},
  journal      = {{Physica D: Nonlinear Phenomena}},
  keywords     = {{own, own-journal}},
  pages        = {{134725}},
  title        = {{{Group Convolutional Extended Dynamic Mode Decomposition}}},
  doi          = {{10.1016/j.physd.2025.134725}},
  volume       = {{480}},
  year         = {{2025}},
}

@article{67316,
  author       = {{Peitz, Sebastian and Hotegni, Sedjro Salomon}},
  journal      = {{Machine Learning with Applications}},
  keywords     = {{own, own-journal}},
  number       = {{100700}},
  title        = {{{Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art}}},
  doi          = {{10.1016/j.mlwa.2025.100700}},
  year         = {{2025}},
}

@unpublished{67315,
  author       = {{Straat, Michiel and Markmann, Thorben and Peitz, Sebastian and Hammer, Barbara}},
  booktitle    = {{arXiv:2511.00272}},
  keywords     = {{own, own-preprint}},
  title        = {{{Improving the Robustness of Control of Chaotic Convective Flows with Domain-Informed Reinforcement Learning}}},
  year         = {{2025}},
}

@unpublished{67318,
  author       = {{Fromme, Fynn and Allen-Blanchette, Christine and Harder, Hans and Peitz, Sebastian}},
  booktitle    = {{arXiv:2505.13569}},
  keywords     = {{own, own-preprint, erc}},
  title        = {{{Surrogate Modeling of 3D Rayleigh-Bénard Convection with Equivariant Autoencoders}}},
  year         = {{2025}},
}

@article{61016,
  author       = {{Baier, Dominik and Kieke, Laureen and Voth, Sven and Kloß, Marvin and Huck, Marten and Steinrück, Hans-Georg and Tiemann, Michael}},
  issn         = {{2379-3694}},
  journal      = {{ACS Sensors}},
  number       = {{8}},
  pages        = {{5664--5673}},
  publisher    = {{American Chemical Society (ACS)}},
  title        = {{{Selective H<sub>2</sub> Gas Sensing Using ZIF-71/In-SnO<sub>2</sub> Bilayer Sensors: A Size-Selective Molecular Sieving Approach}}},
  doi          = {{10.1021/acssensors.5c00770}},
  volume       = {{10}},
  year         = {{2025}},
}

@inproceedings{61202,
  abstract     = {{The number of datasets on the web of data increases continuously. However, the knowledge contained therein cannot be fully utilized without finding links between the entities contained in these datasets. Equivalent entities can not be identified solely by checking the equivalence of IRIs because of the different origins and naming schemes of different data providers. Yet, such equivalences can be discovered by computing the similarity of their attributes. In this paper we propose GLIDE, an approach that links entities from two different datasets by embedding a joint model of these datasets enriched by additional relations describing the similarity of literals. The joint model is embedded into a latent vector space while paying attention to juxtaposing similar literals. We evaluate our approach against state-of-the-art algorithms using real-world datasets commonly used in link discovery literature. The results show that GLIDE outperforms all baselines on 5 of 7 datasets with perfect or near-perfect accuracy. Our approach achieves its best performance on datasets that feature several literals with similarities. Our experiments indicate that researchers should not only pay attention to equal literals in knowledge graph embedding but should also be aware of the distance between similar literals.}},
  author       = {{Becker, Alexander and Ngonga Ngomo, Axel-Cyrille and Sherif, Mohamed}},
  booktitle    = {{The Semantic Web – ISWC 2025}},
  keywords     = {{becker sherif enexa sailproject dice simba ngonga whale}},
  title        = {{{GLIDE: Knowledge Graph Linking using Distance-Aware Embeddings}}},
  year         = {{2025}},
}

@inproceedings{67338,
  author       = {{Becker, Alexander and Ngonga Ngomo, Axel-Cyrille and Sherif, Mohamed}},
  booktitle    = {{OM 2025: The 20th International Workshop on Ontology Matching collocated with the 24th International Semantic Web Conference(ISWC 2025), November 2nd, 2025, Nara, Japan}},
  keywords     = {{becker dice enexa ngonga sailproject sherif whale}},
  pages        = {{166--171}},
  publisher    = {{CEUR-WS}},
  title        = {{{TIM Results for OAEI 2025}}},
  volume       = {{4144}},
  year         = {{2025}},
}

@inproceedings{67385,
  author       = {{Graner, Charlotte and Schettler, Sebastian and Hollmer, Katharina and Schöne, Sebastian and Kalich, Jan and Zimmermann, Martina}},
  booktitle    = {{43. Vortrags- und Diskussionstagung Werkstoffprüfung 2025 – Werkstoffe und Bauteile auf dem Prüfstand}},
  isbn         = {{978-3-88355-454-9}},
  location     = {{Dresden}},
  pages        = {{298--303 }},
  title        = {{{Mechanische Eigenschaften geclinchter Aluminiumverbindungen in Abhängigkeit vom Umformgrad}}},
  year         = {{2025}},
}

@inproceedings{67384,
  author       = {{Hollmer, Katharina and Reschke, Gregor and Brosius, Alexander and Zimmermann, Martina}},
  booktitle    = {{43. Vortrags- und Diskussionstagung Werkstoffprüfung 2025 – Werkstoffe und Bauteile auf dem Prüfstand}},
  isbn         = {{978-3-88355-454-9}},
  location     = {{Dresden}},
  pages        = {{220--226}},
  title        = {{{Analyse des Schädigungsverlaufs geclinchter Verbindungen während der Ermüdungsbeanspruchung}}},
  year         = {{2025}},
}

@misc{62985,
  author       = {{Cramer, Katja}},
  publisher    = {{LibreCat University}},
  title        = {{{Nutzen generativer künstlicher Intelligenz in der Physikunterrichtsplanung aus Sicht von Personen mit schulpraktischem Hintergrund.}}},
  doi          = {{10.13140/RG.2.2.32686.83523}},
  year         = {{2025}},
}

@inproceedings{66151,
  author       = {{Cishugi, Elijah Seth and Buschjäger, Sebastian and Noorlander, Martijn and Ottavi, Marco and Chen, Kuan-Hsun}},
  booktitle    = {{2025 Design, Automation &amp;amp; Test in Europe Conference (DATE)}},
  publisher    = {{IEEE}},
  title        = {{{TrackScorer: Skyrmion Logic-in-Memory Accelerator for Tree-Based Ranking Models}}},
  doi          = {{10.23919/date64628.2025.10992934}},
  year         = {{2025}},
}

@book{60855,
  editor       = {{Schmitz, Sabine and Verdú Schumann, Daniel A.  and Barrientos Tecún, Dante }},
  isbn         = {{ 9788491925064}},
  publisher    = {{Iberoamericana, Vervuert}},
  title        = {{{Diálogos con lo fantástico en el policial latinoamericano}}},
  year         = {{2025}},
}

@inproceedings{66171,
  author       = {{Henkel, Jörg and Siddhu, Lokesh and Nassar, Hassan and Bauer, Lars and Chen, Jian-Jia and Hakert, Christian and Seidl, Tristan and Chen, Kuan-Hsun and Hu, Xiaobo Sharon and Li, Mengyuan and Yang, Chia-Lin and Wei, Ming-Liang}},
  booktitle    = {{Proceedings of the 43rd IEEE/ACM International Conference on Computer-Aided Design}},
  publisher    = {{ACM}},
  title        = {{{Co-Designing NVM-based Systems for Machine Learning and In-memory Search Applications}}},
  doi          = {{10.1145/3676536.3697114}},
  year         = {{2025}},
}

@inbook{66157,
  author       = {{Spaan, Jeffrey and Chen, Kuan-Hsun and Bader, David A. and Varbanescu, Ana-Lucia}},
  booktitle    = {{Lecture Notes in Computer Science}},
  isbn         = {{9783031998713}},
  issn         = {{0302-9743}},
  publisher    = {{Springer Nature Switzerland}},
  title        = {{{Wedge-Parallel Triangle Counting for GPUs}}},
  doi          = {{10.1007/978-3-031-99872-0_1}},
  year         = {{2025}},
}

@inproceedings{66263,
  author       = {{Chen, Jian-Jia and Shi, Junjie and Günzel, Mario and von der Brüggen, Georg and Chen, Kuan-Hsun and Bella, Peter}},
  booktitle    = {{37th Euromicro Conference on Real-Time Systems (ECRTS 2025)}},
  editor       = {{Mancuso, Renato}},
  isbn         = {{978-3-95977-377-5}},
  issn         = {{1868-8969}},
  pages        = {{17:1–17:26}},
  publisher    = {{Schloss Dagstuhl – Leibniz-Zentrum für Informatik}},
  title        = {{{Theoretical Foundations of Utility Accrual for Real-Time Systems}}},
  doi          = {{10.4230/LIPIcs.ECRTS.2025.17}},
  volume       = {{335}},
  year         = {{2025}},
}

@article{62028,
  abstract     = {{Explainable AI (XAI) methods can support the identification of biases in automated decision-making (ADM) systems. However, existing research does not sufficiently address whether these biases originate from the ADM system or mirror underlying societal inequalities. This distinction is important because it has major implications for how to act upon an explanation: while the societal bias produced by the ADM system can be algorithmically fixed, societal inequalities demand societal actions. To address this gap, we propose the RR-XAI-framework (recognition-redistribution through XAI) that builds on a distinction between socio-technical and societal bias and Nancy Fraser's justice theory of recognition and redistribution. In our framework, explanations can play two distinct roles: as a socio-technical diagnosis when they reveal biases produced by the ADM system itself, or as a societal diagnosis when they expose biases that reflect broader societal inequalities. We then outline the operationalization of the framework and discuss its applicability for cases in algorithmic hiring and credit scoring. Based on our findings, we argue that the diagnostic functions of XAI are contingent on the provision of such explanations, the resources of the audiences, as well as the current limits of XAI techniques.}},
  author       = {{Fahimi, Miriam and State, Laura and Kasirzadeh, Atoosa}},
  issn         = {{3065-8365}},
  journal      = {{Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society}},
  number       = {{1}},
  pages        = {{879--892}},
  publisher    = {{Association for the Advancement of Artificial Intelligence (AAAI)}},
  title        = {{{From Explaining to Diagnosing: A Justice-Oriented Framework of Explainable AI for Bias Detection}}},
  doi          = {{10.1609/aies.v8i1.36597}},
  volume       = {{8}},
  year         = {{2025}},
}

@inbook{45827,
  author       = {{Cao, Chuntian and Steinrück, Hans-Georg}},
  booktitle    = {{Reference Module in Chemistry, Molecular Sciences and Chemical Engineering}},
  isbn         = {{9780124095472}},
  pages        = {{391--416}},
  publisher    = {{Elsevier}},
  title        = {{{Molecular-scale synchrotron X-ray investigations of solid-liquid interfaces in lithium-ion batteries}}},
  doi          = {{10.1016/b978-0-323-85669-0.00105-7}},
  year         = {{2024}},
}

@misc{48363,
  author       = {{Foerster, Anne}},
  booktitle    = {{Women in Early Medieval England}},
  editor       = {{Butler, Emily and Dumitrescu, Irina}},
  publisher    = {{Springer Textbook}},
  title        = {{{The Swineherd’s Wife who Scolded the King}}},
  year         = {{2024}},
}

@misc{48362,
  author       = {{Foerster, Anne}},
  booktitle    = {{Women in Early Medieval England}},
  editor       = {{Butler, Emily and Dumitrescu, Irina}},
  publisher    = {{Springer Textbook}},
  title        = {{{Eadburh of Wessex}}},
  year         = {{2024}},
}

@misc{48364,
  author       = {{Foerster, Anne}},
  booktitle    = {{Women in Early Medieval England}},
  editor       = {{Butler, Emily and Dumitrescu, Irina}},
  publisher    = {{Springer Textbook}},
  title        = {{{Seaxburh}}},
  year         = {{2024}},
}