Inferring Structure Information from Typography. - Christian Fuß; Felix H. Gatzemeier; Michael Kirchhof; Oliver Meyer 001 (DDEP/PODDP, 2000)

Retrieval of software components using a distributed web system. - Anita Behle; Michael Kirchhof; Manfred Nagl; Ralf Welter (J. Netw. Comput. Appl., 2002)

Towards Automatic Deployment in eHome Systems: Description Language and Tool Support. - Michael Kirchhof; Ulrich Norbisrath; Christof Skrzypczyk (CoopIS/DOA/ODBASE (1), 2004)

UML-based Modeling of Architectural Knowledge and Design. - Michael Kirchhof; Bodo Kraft (IASSE, 2004)

Service Composition in eHome Systems: A Rule-based Approach. - Michael Kirchhof; Philipp Stinauer (IWUC, 2005)

Component-based development of Web-enabled eHome services. - Michael Kirchhof; Sebastian Linz (Pers. Ubiquitous Comput., 2005)

Integrierte Low-cost-eHome-Systeme: Prozesse und Infrastrukturen. - Michael Kirchhof (2005)

Process Support in eHome Systems: Empowering Providers to Handle a Future Mass Market. - Ibrahim Armac; Michael Kirchhof (UMICS, 2006)

Modeling and Analysis of Functionality in eHome Systems: Dynamic Rule-based Conflict Detection. - Ibrahim Armac; Michael Kirchhof; Liviana Manolescu (ECBS, 2006)

Integrated Low-Cost eHome Systems: Prozesse und Infrastrukturen. - Michael Kirchhof (Softwaretechnik-Trends, 2007)

The Accuracy of Scene Reconstruction From IR Images Based on Known Camera Positions - An Evaluation with the Aid of LiDAR Data. - Stefan Lang 005; Marcus Hebel; Michael Kirchhof (VISAPP (2), 2008)

Automatic Evaluation of Landmarks for Image-Based Navigation Update. - Stefan Lang 005; Michael Kirchhof (EURASIP J. Adv. Signal Process., 2009)

Statistical Unbiased Background Modeling for Moving Platforms. - Michael Kirchhof; Uwe Stilla (PIA, 2011)

Chances of Interpretable Transfer Learning for Human Activity Recognition in Warehousing. - Michael Kirchhof; Lena Schmid; Christopher Reining; Michael ten Hompel; Markus Pauly (ICCL, 2021)

pRSL: Interpretable multi-label stacking by learning probabilistic rules. - Michael Kirchhof; Lena Schmid; Christopher Reining; Michael ten Hompel; Markus Pauly (UAI, 2021)

A Non-isotropic Probabilistic Take on Proxy-based Deep Metric Learning. - Michael Kirchhof; Karsten Roth; Zeynep Akata; Enkelejda Kasneci (ECCV (26), 2022)

Disentangling Embedding Spaces with Minimal Distributional Assumptions. - Tobias Leemann; Michael Kirchhof; Yao Rong; Enkelejda Kasneci; Gjergji Kasneci (CoRR, 2022)

Probabilistic Contrastive Learning Recovers the Correct Aleatoric Uncertainty of Ambiguous Inputs. - Michael Kirchhof; Enkelejda Kasneci; Seong Joon Oh (ICML, 2023)

URL: A Representation Learning Benchmark for Transferable Uncertainty Estimates. - Michael Kirchhof; Bálint Mucsányi; Seong Joon Oh; Enkelejda Kasneci (NeurIPS, 2023)

When are post-hoc conceptual explanations identifiable? - Tobias Leemann; Michael Kirchhof; Yao Rong; Enkelejda Kasneci; Gjergji Kasneci (UAI, 2023)

Trustworthy Machine Learning. - Bálint Mucsányi; Michael Kirchhof; Elisa Nguyen; Alexander Rubinstein 002; Seong Joon Oh (CoRR, 2023)

Benchmarking Uncertainty Disentanglement: Specialized Uncertainties for Specialized Tasks. - Bálint Mucsányi; Michael Kirchhof; Seong Joon Oh (NeurIPS, 2024)

Pretrained Visual Uncertainties. - Michael Kirchhof; Mark Collier; Seong Joon Oh; Enkelejda Kasneci (CoRR, 2024)

Uncertainties of Latent Representations in Computer Vision. - Michael Kirchhof (CoRR, 2024)

Sparse Repellency for Shielded Generation in Text-to-image Diffusion Models. - Michael Kirchhof; James Thornton; Pierre Ablin; Louis Béthune; Eugène Ndiaye; Marco Cuturi (CoRR, 2024)

Uncertainties of Latent Representations in Computer Vision - Michael Kirchhof (2024)

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 (CoRR, 2025)

Self-reflective Uncertainties: Do LLMs Know Their Internal Answer Distribution? - Michael Kirchhof; Luca Füger; Adam Golinski; Eeshan Gunesh Dhekane; Arno Blaas; Sinead Williamson (CoRR, 2025)

Position: Uncertainty Quantification Needs Reassessment for Large-language Model Agents. - Michael Kirchhof; Gjergji Kasneci; Enkelejda Kasneci (CoRR, 2025)

The Geometries of Truth Are Orthogonal Across Tasks. - Waïss Azizian; Michael Kirchhof; Eugène Ndiaye; Louis Béthune; Michal Klein; Pierre Ablin; Marco Cuturi (CoRR, 2025)