Prof. Dr. Marina Höhne
Book chapters and proceedings [19 Results]
- Höhne, M. (2025): Explaining 4.0: Künstliche Intelligenz - Transparenz und Effizienz. In: Forschungsberichte Pflichtabgabe (BMFTR, BMWE). . Hannover, p. 1-18. Online: https://doi.org/10.34657/19380
- Hanike Basavegowda, D.; Liu, S.; Höhne, M.; Weltzien, C. (2025): Towards Reliable Deep Learning Models for Plant Species Identification in Diverse Real-World Scenarios. In: 82nd International Conference on Agricultural Engineering Land.Technik AgEng 2025. 82nd International Conference on Agricultural Engineering Land.Technik AgEng 2025. VDI Verlag, Düsseldorf, (0083-5560/978-3-18-092465-6), p. 155-160.
- Kopf, L.; Feldhus, N.; Bykov, K.; Bommer, P.; Hedström, A.; Höhne, M.; Eberle, O. (2025): Capturing Polysemanticity with PRISM: A Multi-Concept Feature Description Framework. In: Advances in Neural Information Processing Systems 39 (NeurIPS 2025). NeurIPS 2025, AI4Science workshop. p. 1-29. Online: https://openreview.net/pdf?id=svywqosucP
- Rossi, G.; Altavilla, A.; Rossi Ribeiro, L.; Höhne, M.; Babor, M.; Schlüter, O. (2025): Effect of ultrasound processing on physico-chemical properties of edible insects: a preliminary investigation. In: Piofczyk, T.; Haupentha, K.(eds.): INSECTA 2025 International Conference - Book of Abstracts. INSECTA 2025. p. 39-39. Online: https://www.oehmi-analytik.de/images/INSECTA/INSECTA_BoA_2025.pdf
- Bareeva, D.; Höhne, M.; Warnecke, A.; Pirch, L.; Müller, K.; Rieck, K.; Lapuschkin, S.; Bykov, K. (2025): Manipulating Feature Visualizations with Gradient Slingshots. In: Advances in Neural Information Processing Systems 39 (NeurIPS 2025). NeurIPS 2025. p. 1-38. Online: https://openreview.net/pdf/c7e275543fb73c523928b41f35e776058b9f5b26.pdf
- Liu, S.; Babor, M.; Munyendo, L.; Hitzmann, B.; Sturm, B.; Höhne, M. (2024): Advancements in coffee authenticity: A spectroscopic feature compression approach using eXplainable AI and vision transformer. In: Katsoulas, N.(eds.): AgEng 2024 Proceedings Book. AgEng 2024 International Conference of EurAgEng. Athens, Greece, (978-618-82194-1-0), p. 436-442. Online: https://convin.gr/assets/files/misc/AgEng2024_Proceedings_ISBN.pdf
- Yu, X.; Franzen, J.; Samek, W.; Höhne, M.; Kainmueller, D. (2024): Model guidance via explanations turns image classifiers into segmentation models. In: Longo, L.; Lapuschkin, S.; Seifert, C.(eds.): Explainable Artificial Intelligence, Second World Conference, xAI 2024, Valletta, Malta, July 17-19, 2024, Proceedings, Part II. 2nd World Conference on eXplainable Artificial Intelligence (XAI-2024). Springer, Cham, Switzerland, (1865-0929/978-3-031-63796-4), p. 113-129. Online: https://doi.org/10.1007/978-3-031-63797-1_7
- Wickstrøm, K.; Höhne, M.; Hedström, A. (2024): From Flexibility to Manipulation. The Slippery Slope of XAI Evaluation. In: Explainable Computer Vision: Where are We and Where are We Going?. eXCV Workshop at ECCV 2024. p. 1-19. Online: https://excv-workshop.github.io/publication/from-flexibility-to-manipulation-the-slippery-slope-of-xai-evaluation/paper.pdf
- Kopf, L.; Bommer, P.; Hedström, A.; Lapushkin, S.; Höhne, M.; Bykov, K. (2024): CoSy: Evaluating Textual Explanations of Neurons. In: Next generation of AI Safety Workshop at ICML 2024. ICML Workshop Next Generation of AI Safety. p. 1-21. Online: https://arxiv.org/abs/2405.20331
- Kopf, L.; Bommer, P.; Hedström, A.; Lapushkin, S.; Höhne, M.; Bykov, K. (2024): CoSy: Evaluating Textual Explanations of Neurons. In: Mechanistic Interpretability Workshop at ICML 2024. ICML Workshop on Mechanistic Interpretability. p. 1-21. Online: https://arxiv.org/abs/2405.20331