| Development and implementation of statistical methods for quality optimization in the large‐format lithium‐ion cells production O Meyer, C Weihs, S Mähr, HY Tran, M Kirchhof, S Schnackenberg, ... Energy Technology 8 (2), 1900244, 2020 | 17 | 2020 |
| Probabilistic contrastive learning recovers the correct aleatoric uncertainty of ambiguous inputs M Kirchhof, E Kasneci, SJ Oh International Conference on Machine Learning (ICML 2023), 2023 | 14 | 2023 |
| A non-isotropic probabilistic take on proxy-based deep metric learning M Kirchhof, K Roth, Z Akata, E Kasneci European Conference on Computer Vision (ECCV 2022), 435-454, 2022 | 14 | 2022 |
| Root Cause Analysis in Lithium-ion Battery Production with FMEA-based Large-scale Bayesian Network M Kirchhof, K Haas, T Kornas, S Thiede, M Hirz, C Herrmann arXiv preprint arXiv:2006.03610, 2020 | 13 | 2020 |
| When are post-hoc conceptual explanations identifiable? T Leemann, M Kirchhof, Y Rong, E Kasneci, G Kasneci Uncertainty in Artificial Intelligence (UAI 2023), 1207-1218, 2023 | 11* | 2023 |
| Chances of interpretable transfer learning for human activity recognition in warehousing M Kirchhof, L Schmid, C Reining, M Hompel, M Pauly Computational Logistics: 12th International Conference, ICCL 2021, Enschede …, 2021 | 8 | 2021 |
| pRSL: Interpretable Multi-label Stacking by Learning Probabilistic Rules M Kirchhof, L Schmid, C Reining, M ten Hompel, M Pauly Uncertainty in Artificial Intelligence (UAI 2021), 2021 | 6 | 2021 |
| URL: A Representation Learning Benchmark for Transferable Uncertainty Estimates M Kirchhof, B Mucsányi, SJ Oh, E Kasneci NeurIPS 2023 Datasets and Benchmarks, 2023 | 5 | 2023 |
| Benchmarking uncertainty disentanglement: Specialized uncertainties for specialized tasks B Mucsányi, M Kirchhof, SJ Oh arXiv preprint arXiv:2402.19460, 2024 | 3 | 2024 |
| Pretrained Visual Uncertainties M Kirchhof, M Collier, SJ Oh, E Kasneci arXiv preprint arXiv:2402.16569, 2024 | 2 | 2024 |
| Trustworthy machine learning B Mucsányi, M Kirchhof, E Nguyen, A Rubinstein, SJ Oh arXiv preprint arXiv:2310.08215, 2023 | 2 | 2023 |
| Cutting Optimal Pieces from Production Items M Kirchhof, O Meyer, C Weihs | 1 | 2019 |
| Uncertainties of Latent Representations in Computer Vision M Kirchhof PhD thesis, Universität Tübingen, 2024 | | 2024 |
