| Adaptive Precision Training (AdaPT): A dynamic quantized training approach for DNNs L Kummer, K Sidak, T Reichmann, W Gansterer Proceedings of the 2023 SIAM International Conference on Data Mining (SDM …, 2023 | 6 | 2023 |
| Text-Guided Image Clustering A Stephan, L Miklautz, K Sidak, JP Wahle, B Gipp, C Plant, B Roth arXiv preprint arXiv:2402.02996, 2024 | 3 | 2024 |
| Addressing persistent challenges in digital image analysis of cancerous tissues S Prabhakaran, C Yapp, GJ Baker, J Beyer, YH Chang, AL Creason, ... bioRxiv, 2023 | 1 | 2023 |
| Plasticity Loss in Deep Reinforcement Learning: A Survey T Klein, L Miklautz, K Sidak, C Plant, S Tschiatschek arXiv preprint arXiv:2411.04832, 2024 | | 2024 |
| Breaking the Reclustering Barrier in Centroid-based Deep Clustering L Miklautz, T Klein, K Sidak, C Leiber, T Lang, A Shkabrii, S Tschiatschek, ... arXiv preprint arXiv:2411.02275, 2024 | | 2024 |
| Cell2Cell: Explorative Cell Interaction Analysis in Multi-Volumetric Tissue Data E Mörth, K Sidak, Z Maliga, T Möller, N Gehlenborg, P Sorger, H Pfister, ... IEEE Transactions on Visualization and Computer Graphics, 2024 | | 2024 |
| Neural Network Augmented Compartmental Pandemic Models L Kummer, K Sidak arXiv preprint arXiv:2212.08481, 2022 | | 2022 |
