Beiträge zu Sammelwerken
- Matavel, C.; Meyer-Aurich, A. (2025): Data-driven nitrogen management: Leveraging historical data and machine learning for economic optima. Lecture Notes in Informatics (LNI). In: Informatik in der Land-, Forst- und Ernährungswirtschaft. 45. GIL-Jahrestagung - Informatik in der Land-, Forst- und Ernährungswirtschaft. Gesellschaft für Informatik (GI), Bonn, (1617-5468 (Online)), p. 323-328. Online: https://gil-net.de/Publikationen/GIL25_Proceedings_final_01.pdf 1.0
- Fumagalli, F.; Muschalik, M.; Hüllermeier, E.; Hammer, B.; Herbinger, J. (2025): Unifying Feature-Based Explanations with Functional ANOVA and Cooperative Game Theory. In: The 28th International Conference on Artificial Intelligence and Statistics (AISTATS) proceedings. AISTATS 2025. p. 1-42. 1.0
- Hedström, A.; Amoukou, S.; Bewley, T.; Mishra, S.; Veloso, M. (2025): To Steer or Not to Steer? Mechanistic Error Reduction with Abstention for Language Models. In: Proceedings of the 42nd International Conference on Machine Learning, Vancouver, Canada (ICML 2025). ICML 2025 - International Conference on Machine Learning. p. 1-22. Online: https://openreview.net/forum?id=fUCPq5RvmH 1.0
- Kazmierczak, R.; Azzolin, S.; Berthier, E.; Hedström, A.; Bousquet, N.; Frehse, G.; Mancini, M.; Caramiaux, B.; Passerini, A.; Franchi, G. (2025): Benchmarking XAI Explanations with Human-Aligned Evaluations. In: Proceedings of ICML 2025. ICML 2025 - International Conference on Machine Learning. p. 1-39. Online: Under review as a conference paper at ICLR 2025 1.0
- Genzel, M.; Putzky, P.; Zhao, P.; Schulze, S.; Mollenhauer, M.; Seidel, R.; Dietzel, S.; Wollmann, T. (2025): Choose Your Model Size: Any Compression by a Single Gradient Descent. In: . Efficient Systems for Foundation Models Workshop at the International Conference on Machine Learning (ICML) 2025. p. 1-23. Online: https://arxiv.org/abs/2502.01717 1.0
- Zude-Sasse, M. (2025): Fusion von Sensordaten im Gartenbau. In: Frerichs, L.(eds.): Jahrbuch Agrartechnik 2024. . TU Brauschweig, Braunschweig, p. 1-6. Online: https://leopard.tu-braunschweig.de/receive/dbbs_mods_00078431 1.0
- Murtagh, B.; Slezak, F.; Baranyai, L.; Allegro, G.; Filippetti, I.; Morandi, B.; Boini, A.; Manfrini, L.; Bortolotti, G.; Zude-Sasse, M. (2025): Mobile app for analysing the heat damage risk in grape and apple fruit. In: Manfrini, L.; Biegert, K.; Matache, M.(eds.): EHC2024: International Symposium on Robotics, Mechanization and Smart Horticulture. EHC2024 International Symposium on Robotics, Mechanization and Smart Horticulture. ISHS, Bukarest, (0567-7572/2406-6168/978-94-62614-32-1), p. 183-188. Online: https://doi.org/10.17660/ActaHortic.2025.1433.23 1.0
- Aradwad, P.; Ramakrishnan, D.; Rauh, C.; Abdelfattah, A.; Sturm, B. (2025): Storage-Driven Microbial and Quality Changes in Brewer’s Spent Grain. In: 7th Plants and People Conference - Abstract Booklet. 7th Plants and People Conference (P&P25). p. 35-35. Online: https://plants-and-people.mpg.de/sites/default/files/filemanagement/2025/program/Abstract%20Booklet_20250907.pdf 1.0
- Bykov, K.; Kopf, L.; Nakajima, S.; Kloft, M.; Höhne, M. (2024): Labeling Neural Representations with Inverse Recognition. In: NIPS 23: Proceedings of the 37th International Conference on Neural Information Processing Systems. NeurIPS 2023. Curran Associates Inc., Red Hook, NY, United States, (9781713899921), p. 24804-24828. Online: https://dl.acm.org/doi/10.5555/3666122.3667199 1.0
- Bykov, K.; Müller, K.; Höhne, M. (2024): Mark My Words: Dangers of Watermarked Images in ImageNet. In: Nowaczyk, S.; et al.(eds.): Artificial Intelligence. ECAI 2023 International Workshops. Proceedings, Part I. ECAI 2023 XI-ML Workshops. Springer, Cham, Switzerland, (1865-0929 / 978-3-031-50396-2), p. 426-434. Online: https://doi.org/10.1007/978-3-031-50396-2_24 1.0