| 2025 | ACL | Revisiting Uncertainty Quantification Evaluation in Language Models: Spurious Interactions with Response Length Bias Results. | Andrea Santilli, Adam Golinski, Michael Kirchhof, Federico Danieli, Arno Blaas, Miao Xiong, Luca Zappella, Sinead Williamson |
| 2025 | ICML | Position: Uncertainty Quantification Needs Reassessment for Large Language Model Agents. | Michael Kirchhof, Gjergji Kasneci, Enkelejda Kasneci |
| 2025 | ICML | Shielded Diffusion: Generating Novel and Diverse Images using Sparse Repellency. | Michael Kirchhof, James Thornton, Louis Bthune, Pierre Ablin, Eugne Ndiaye, Marco Cuturi |
| 2023 | ICML | Probabilistic Contrastive Learning Recovers the Correct Aleatoric Uncertainty of Ambiguous Inputs. | Michael Kirchhof, Enkelejda Kasneci, Seong Joon Oh |
| 2023 | UAI | When are post-hoc conceptual explanations identifiable? | Tobias Leemann, Michael Kirchhof, Yao Rong, Enkelejda Kasneci, Gjergji Kasneci |
| 2022 | ECCV | A Non-isotropic Probabilistic Take on Proxy-based Deep Metric Learning. | Michael Kirchhof, Karsten Roth, Zeynep Akata, Enkelejda Kasneci |
| 2021 | UAI | pRSL: Interpretable multi-label stacking by learning probabilistic rules. | Michael Kirchhof, Lena Schmid, Christopher Reining, Michael ten Hompel, Markus Pauly |
| 2006 | CaiSE | Process Support in eHome Systems: Empowering Providers to Handle a Future Mass Market. | Ibrahim Armac, Michael Kirchhof |
| 2004 | CaiSE | Component-Based Development of Web-Enabled eHome Services. | Michael Kirchhof, Sebastian Linz |
| 2004 | CoopIS | Towards Automatic Deployment in eHome Systems: Description Language and Tool Support. | Michael Kirchhof, Ulrich Norbisrath, Christof Skrzypczyk |