Michael Kirchhof

ORCID

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 14

Top Venues

RWTH Aachen University (PHD)

Education History

RWTH Aachen University

PHD

Publications

Michael Kirchhof, Mark Collier, Seong Joon Oh, Enkelejda Kasneci
Pretrained Visual Uncertainties. CoRR (2024)
Bálint Mucsányi, Michael Kirchhof, Seong Joon Oh
Benchmarking Uncertainty Disentanglement: Specialized Uncertainties for Specialized Tasks. CoRR (2024)
Michael Kirchhof, Bálint Mucsányi, Seong Joon Oh, Enkelejda Kasneci
URL: A Representation Learning Benchmark for Transferable Uncertainty Estimates. NeurIPS (2023)
Bálint Mucsányi, Michael Kirchhof, Elisa Nguyen, Alexander Rubinstein, Seong Joon Oh
Trustworthy Machine Learning. CoRR (2023)
Michael Kirchhof, Bálint Mucsányi, Seong Joon Oh, Enkelejda Kasneci
URL: A Representation Learning Benchmark for Transferable Uncertainty Estimates. CoRR (2023)
Tobias Leemann, Michael Kirchhof, Yao Rong, Enkelejda Kasneci, Gjergji Kasneci
When are post-hoc conceptual explanations identifiable? UAI (2023)
Michael Kirchhof, Enkelejda Kasneci, Seong Joon Oh
Probabilistic Contrastive Learning Recovers the Correct Aleatoric Uncertainty of Ambiguous Inputs. CoRR (2023)
Michael Kirchhof, Enkelejda Kasneci, Seong Joon Oh
Probabilistic Contrastive Learning Recovers the Correct Aleatoric Uncertainty of Ambiguous Inputs. ICML (2023)
Tobias Leemann, Michael Kirchhof, Yao Rong, Enkelejda Kasneci, Gjergji Kasneci
Disentangling Embedding Spaces with Minimal Distributional Assumptions. CoRR (2022)
Michael Kirchhof, Karsten Roth, Zeynep Akata, Enkelejda Kasneci
A Non-isotropic Probabilistic Take on Proxy-based Deep Metric Learning. ECCV (26) (2022)
Michael Kirchhof, Karsten Roth, Zeynep Akata, Enkelejda Kasneci
A Non-isotropic Probabilistic Take on Proxy-based Deep Metric Learning. CoRR (2022)
Michael Kirchhof, Lena Schmid, Christopher Reining, Michael ten Hompel, Markus Pauly
Chances of Interpretable Transfer Learning for Human Activity Recognition in Warehousing. ICCL (2021)
Michael Kirchhof, Lena Schmid, Christopher Reining, Michael ten Hompel, Markus Pauly
pRSL: Interpretable Multi-label Stacking by Learning Probabilistic Rules. CoRR (2021)
Michael Kirchhof, Lena Schmid, Christopher Reining, Michael ten Hompel, Markus Pauly
pRSL: Interpretable multi-label stacking by learning probabilistic rules. UAI (2021)
Michael Kirchhof, Uwe Stilla
Statistical Unbiased Background Modeling for Moving Platforms. PIA (2011)
Stefan Lang, Michael Kirchhof
Automatic Evaluation of Landmarks for Image-Based Navigation Update. EURASIP J. Adv. Signal Process. 2009 (2009)
Stefan Lang, Marcus Hebel, Michael Kirchhof
The Accuracy of Scene Reconstruction From IR Images Based on Known Camera Positions - An Evaluation with the Aid of LiDAR Data. VISAPP (2) (2008)
Michael Kirchhof
Integrated Low-Cost eHome Systems: Prozesse und Infrastrukturen. Softwaretechnik-Trends 27 (4) (2007)
Ibrahim Armac, Michael Kirchhof
Process Support in eHome Systems: Empowering Providers to Handle a Future Mass Market. UMICS (2006)
Ibrahim Armac, Michael Kirchhof, Liviana Manolescu
Modeling and Analysis of Functionality in eHome Systems: Dynamic Rule-based Conflict Detection. ECBS (2006)
Michael Kirchhof, Philipp Stinauer
Service Composition in eHome Systems: A Rule-based Approach. IWUC (2005)
Michael Kirchhof, Sebastian Linz
Component-based development of Web-enabled eHome services. Pers. Ubiquitous Comput. 9 (5) (2005)
Michael Kirchhof, Sebastian Linz
Component-Based Development of Web-Enabled eHome Services. UMICS (2004)
Michael Kirchhof, Ulrich Norbisrath, Christof Skrzypczyk
Towards Automatic Deployment in eHome Systems: Description Language and Tool Support. CoopIS/DOA/ODBASE (1) (2004)
Anita Behle, Michael Kirchhof, Manfred Nagl, Ralf Welter
Retrieval of software components using a distributed web system. J. Netw. Comput. Appl. 25 (3) (2002)
Christian Fuß, Felix H. Gatzemeier, Michael Kirchhof, Oliver Meyer
Inferring Structure Information from Typography. DDEP/PODDP (2000)

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Publication Activity (10 Years)

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Michael Kirchhof