| Explaining Bayesian Neural Networks K Bykov, MMC Höhne, A Creosteanu, KR Müller, F Klauschen, ... Transactions on Machine Learning Research, 2021 | 90* | 2021 |
| NoiseGrad — Enhancing Explanations by Introducing Stochasticity to Model Weights K Bykov, A Hedström, S Nakajima, MMC Höhne Proceedings of the AAAI Conference on Artificial Intelligence 36 (6), 6132-6140, 2022 | 55 | 2022 |
| Labeling Neural Representations with Inverse Recognition K Bykov, L Kopf, S Nakajima, M Kloft, M Höhne Advances in Neural Information Processing Systems 36, 24804-24828, 2023 | 29 | 2023 |
| DORA: Exploring Outlier Representations in Deep Neural Networks K Bykov, M Deb, D Grinwald, KR Müller, MMC Höhne Transactions on Machine Learning Research, 2023 | 21 | 2023 |
| CoSy: Evaluating Textual Explanations of Neurons L Kopf, PL Bommer, A Hedström, S Lapuschkin, MMC Höhne, K Bykov Advances in Neural Information Processing Systems 37, 2024 | 15* | 2024 |
| Mark My Words: Dangers of Watermarked Images in ImageNet K Bykov, KR Müller, MMC Höhne Communications in Computer and Information Science 1947, 426--434, 2024 | 10 | 2024 |
| Visualizing the Diversity of Representations Learned by Bayesian Neural Networks D Grinwald, K Bykov, S Nakajima, MMC Höhne Transactions on Machine Learning Research, 2023 | 6 | 2023 |
| Deep learning meets teleconnections: Improving S2S predictions for European winter weather PL Bommer, M Kretschmer, FR Spuler, K Bykov, MMC Höhne Machine Learning: Earth 1 (1), 015002, 2025 | 5 | 2025 |
| Manipulating Feature Visualizations with Gradient Slingshots D Bareeva, MMC Höhne, A Warnecke, L Pirch, KR Müller, K Rieck, ... arXiv preprint arXiv:2401.06122, 2024 | 4 | 2024 |
| Finding Spurious correlations with Function-Semantic Contrast Analysis K Bykov, L Kopf, MMC Höhne World Conference on Explainable Artificial Intelligence, 549-572, 2023 | 4 | 2023 |
| Capturing Polysemanticity with PRISM: A Multi-Concept Feature Description Framework L Kopf, N Feldhus, K Bykov, PL Bommer, A Hedström, MMC Höhne, ... arXiv preprint arXiv:2506.15538, 2025 | 3 | 2025 |
| Combining spatio-temporal neural networks with mechanistic interpretability to investigate teleconnections in S2S forecasts PL Bommer, M Kretschmer, F Spurler, K Bykov, P Boehnke, MMC Hoehne EGU General Assembly Conference Abstracts, EGU25-9753, 2025 | | 2025 |
Marina Marie-Claire Höhne (née Vido...Full Professor at Uni Potsdam, Head of the Data Science department at ATB-PotsdamVerified email at uni-potsdam.de
