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123 Publications
2024 | Conference Paper | LibreCat-ID: 58224
Kenneweg, Philip, et al. “No Learning Rates Needed: Introducing SALSA - Stable Armijo Line Search Adaptation.” 2024 International Joint Conference on Neural Networks (IJCNN), 2024, pp. 1–8, doi:10.1109/IJCNN60899.2024.10650124.
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2024 | Conference Paper | LibreCat-ID: 53073
Muschalik, Maximilian, et al. “Beyond TreeSHAP: Efficient Computation of Any-Order Shapley Interactions for Tree Ensembles.” Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), vol. 38, no. 13, 2024, pp. 14388–96, doi:10.1609/aaai.v38i13.29352.
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2024 | Conference Paper | LibreCat-ID: 55311
Kolpaczki, Patrick, et al. “SVARM-IQ: Efficient Approximation of Any-Order Shapley Interactions through Stratification.” Proceedings of The 27th International Conference on Artificial Intelligence and Statistics (AISTATS), vol. 238, PMLR, 2024, pp. 3520–3528.
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2024 | Conference Paper | LibreCat-ID: 58223
Fumagalli, Fabian, et al. “KernelSHAP-IQ: Weighted Least Square Optimization for Shapley Interactions.” Proceedings of the 41st International Conference on Machine Learning (ICML), vol. 235, PMLR, 2024, pp. 14308–14342.
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2024 | Conference Paper | LibreCat-ID: 61228
Muschalik, Maximilian, et al. “Shapiq: Shapley Interactions for Machine Learning.” Advances in Neural Information Processing Systems (NeurIPS), vol. 37, 2024, pp. 130324–130357.
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2024 | Conference Paper | LibreCat-ID: 61230
Kolpaczki, Patrick, et al. “Approximating the Shapley Value without Marginal Contributions.” Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), vol. 38, no. 12, 2024, pp. 13246–13255.
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2024 | Conference Paper | LibreCat-ID: 61176 | 
Wang, Yu, and Hendrik Buschmeier. “Revisiting the Phenomenon of Syntactic Complexity Convergence on German Dialogue Data.” Proceedings of the 20th Conference on Natural Language Processing (KONVENS 2024), 2024, pp. 75–80.
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2024 | Conference Paper | LibreCat-ID: 55911 |
Wang, Yu, et al. “How Much Does Nonverbal Communication Conform to Entropy Rate Constancy?: A Case Study on Listener Gaze in Interaction.” Findings of the Association for Computational Linguistics ACL 2024, 2024, pp. 3533–3545.
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2024 | Conference Abstract | LibreCat-ID: 56314
Riechmann, Alina Naomi, and Hendrik Buschmeier. “Automatic Reconstruction of Dialogue Participants’ Coordinating Gaze Behavior from Multiple Camera Perspectives.” Book of Abstracts of the 2nd International Multimodal Communication Symposium, 2024, pp. 38–39.
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2024 | Conference Paper | LibreCat-ID: 58722 |
Spliethöver, Maximilian, et al. “Disentangling Dialect from Social Bias via Multitask Learning to Improve Fairness.” Findings of the Association for Computational Linguistics: ACL 2024, edited by Lun-Wei Ku et al., Association for Computational Linguistics, 2024, pp. 9294–9313, doi:10.18653/v1/2024.findings-acl.553.
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2024 | Conference Paper | LibreCat-ID: 61273
Paletschek, Jonas. “A Paradigm to Investigate Social Signals of Understanding and Their Susceptibility to Stress.” 12th International Conference on Affective Computing & Intelligent Interaction, IEEE, 2024, doi:10.1109/ACII63134.2024.00040.
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2024 | Journal Article | LibreCat-ID: 61290
Johnson, David, et al. “Explainable AI for Audio and Visual Affective Computing: A Scoping Review.” IEEE Transactions on Affective Computing, vol. 16, no. 2, Institute of Electrical and Electronics Engineers (IEEE), 2024, pp. 518–36, doi:10.1109/taffc.2024.3505269.
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2024 | Conference Paper | LibreCat-ID: 55429
Battefeld, Dominik, et al. “Revealing the Dynamics of Medical Diagnostic Reasoning as Step-by-Step Cognitive Process Trajectories.” Proceedings of the 46th Annual Conference of the Cognitive Science Society, 2024.
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2023 | Conference Paper | LibreCat-ID: 48355 |
Rautenberg, Frederik, et al. “On Feature Importance and Interpretability of Speaker Representations.” ITG Conference on Speech Communication, 2023.
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2023 | Conference Paper | LibreCat-ID: 48410 |
Wiechmann, Jana, et al. “Explaining Voice Characteristics to Novice Voice Practitioners-How Successful Is It?” 20th International Congress of the Phonetic Sciences (ICPhS) , 2023.
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2023 | Conference Paper | LibreCat-ID: 48595
Peters, Tobias Martin, and Roel W. Visser. “The Importance of Distrust in AI.” Communications in Computer and Information Science, Springer Nature Switzerland, 2023, doi:10.1007/978-3-031-44070-0_15.
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2023 | Journal Article | LibreCat-ID: 48777
Fumagalli, Fabian, et al. “Incremental Permutation Feature Importance (IPFI): Towards Online Explanations on Data Streams.” Machine Learning, Springer Science and Business Media LLC, 2023, doi:10.1007/s10994-023-06385-y.
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2023 | Conference Paper | LibreCat-ID: 44853 |
Alpsancar, Suzana. “What Is AI Ethics? Ethics as Means of Self-Regulation and the Need for Critical Reflection .” International Conference on Computer Ethics 2023, vol. 1, no. 1, 2023, pp. 1--17.
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2023 | Journal Article | LibreCat-ID: 51345
Schulz, Christian. “A New Algorithmic Imaginary.” Media, Culture & Society, vol. 45, no. 3, SAGE Publications, 2023, pp. 646–55, doi:10.1177/01634437221136014.
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2023 | Preprint | LibreCat-ID: 51372
Johnson, David, et al. Towards Interpretability in Audio and Visual Affective Machine Learning: A Review. 2023.
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