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ORCIDMichael Kirchhof
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2020 – today
- 2024
[b2]Michael Kirchhof:
Uncertainties of Latent Representations in Computer Vision. Tübingen University, Germany, 2024- [i10]Michael Kirchhof, Mark Collier, Seong Joon Oh, Enkelejda Kasneci:
Pretrained Visual Uncertainties. CoRR abs/2402.16569 (2024) - [i9]Bálint Mucsányi, Michael Kirchhof, Seong Joon Oh:
Benchmarking Uncertainty Disentanglement: Specialized Uncertainties for Specialized Tasks. CoRR abs/2402.19460 (2024) - [i8]Michael Kirchhof:
Uncertainties of Latent Representations in Computer Vision. CoRR abs/2408.14281 (2024) - [i7]Michael Kirchhof, James Thornton, Pierre Ablin, Louis Béthune, Eugène Ndiaye, Marco Cuturi:
Sparse Repellency for Shielded Generation in Text-to-image Diffusion Models. CoRR abs/2410.06025 (2024) - 2023
- [c15]Michael Kirchhof, Enkelejda Kasneci, Seong Joon Oh:
Probabilistic Contrastive Learning Recovers the Correct Aleatoric Uncertainty of Ambiguous Inputs. ICML 2023: 17085-17104 - [c14]Michael Kirchhof, Bálint Mucsányi, Seong Joon Oh, Enkelejda Kasneci:
URL: A Representation Learning Benchmark for Transferable Uncertainty Estimates. NeurIPS 2023 - [c13]Tobias Leemann, Michael Kirchhof, Yao Rong, Enkelejda Kasneci, Gjergji Kasneci:
When are post-hoc conceptual explanations identifiable? UAI 2023: 1207-1218 - [i6]Michael Kirchhof, Enkelejda Kasneci, Seong Joon Oh:
Probabilistic Contrastive Learning Recovers the Correct Aleatoric Uncertainty of Ambiguous Inputs. CoRR abs/2302.02865 (2023) - [i5]Michael Kirchhof, Bálint Mucsányi, Seong Joon Oh, Enkelejda Kasneci:
URL: A Representation Learning Benchmark for Transferable Uncertainty Estimates. CoRR abs/2307.03810 (2023) - [i4]Bálint Mucsányi, Michael Kirchhof, Elisa Nguyen, Alexander Rubinstein, Seong Joon Oh:
Trustworthy Machine Learning. CoRR abs/2310.08215 (2023) - 2022
- [c12]Michael Kirchhof
, Karsten Roth, Zeynep Akata, Enkelejda Kasneci:
A Non-isotropic Probabilistic Take on Proxy-based Deep Metric Learning. ECCV (26) 2022: 435-454 - [i3]Tobias Leemann, Michael Kirchhof, Yao Rong, Enkelejda Kasneci, Gjergji Kasneci:
Disentangling Embedding Spaces with Minimal Distributional Assumptions. CoRR abs/2206.13872 (2022) - [i2]Michael Kirchhof, Karsten Roth, Zeynep Akata, Enkelejda Kasneci:
A Non-isotropic Probabilistic Take on Proxy-based Deep Metric Learning. CoRR abs/2207.03784 (2022) - 2021
- [c11]Michael Kirchhof, Lena Schmid, Christopher Reining, Michael ten Hompel, Markus Pauly:
Chances of Interpretable Transfer Learning for Human Activity Recognition in Warehousing. ICCL 2021: 163-177 - [c10]Michael Kirchhof, Lena Schmid, Christopher Reining, Michael ten Hompel, Markus Pauly:
pRSL: Interpretable multi-label stacking by learning probabilistic rules. UAI 2021: 461-470 - [i1]Michael Kirchhof, Lena Schmid, Christopher Reining, Michael ten Hompel, Markus Pauly:
pRSL: Interpretable Multi-label Stacking by Learning Probabilistic Rules. CoRR abs/2105.13850 (2021)
2010 – 2019
- 2011
- [c9]Michael Kirchhof, Uwe Stilla:
Statistical Unbiased Background Modeling for Moving Platforms. PIA 2011: 245-256
2000 – 2009
- 2009
- [j4]Stefan Lang, Michael Kirchhof:
Automatic Evaluation of Landmarks for Image-Based Navigation Update. EURASIP J. Adv. Signal Process. 2009 (2009) - 2008
- [c8]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: 439-446 - 2007
- [j3]Michael Kirchhof:
Integrated Low-Cost eHome Systems: Prozesse und Infrastrukturen. Softwaretechnik-Trends 27(4) (2007) - 2006
- [c7]Ibrahim Armac, Michael Kirchhof:
Process Support in eHome Systems: Empowering Providers to Handle a Future Mass Market. UMICS 2006 - [c6]Ibrahim Armac, Michael Kirchhof, Liviana Manolescu:
Modeling and Analysis of Functionality in eHome Systems: Dynamic Rule-based Conflict Detection. ECBS 2006: 219-228 - 2005
- [b1]Michael Kirchhof:
Integrierte Low-cost-eHome-Systeme: Prozesse und Infrastrukturen. RWTH Aachen University, 2005, ISBN 3-8322-4776-9, pp. 1-330 - [j2]Michael Kirchhof, Sebastian Linz:
Component-based development of Web-enabled eHome services. Pers. Ubiquitous Comput. 9(5): 323-332 (2005) - [c5]Michael Kirchhof, Philipp Stinauer:
Service Composition in eHome Systems: A Rule-based Approach. IWUC 2005: 28-38 - 2004
- [c4]Michael Kirchhof, Sebastian Linz:
Component-Based Development of Web-Enabled eHome Services. UMICS 2004: 181-196 - [c3]Michael Kirchhof, Ulrich Norbisrath, Christof Skrzypczyk:
Towards Automatic Deployment in eHome Systems: Description Language and Tool Support. CoopIS/DOA/ODBASE (1) 2004: 460-476 - [c2]Michael Kirchhof, Bodo Kraft:
UML-based Modeling of Architectural Knowledge and Design. IASSE 2004: 245-250 - 2002
- [j1]Anita Behle, Michael Kirchhof, Manfred Nagl, Ralf Welter:
Retrieval of software components using a distributed web system. J. Netw. Comput. Appl. 25(3): 197-222 (2002) - 2000
- [c1]Christian Fuß, Felix H. Gatzemeier, Michael Kirchhof, Oliver Meyer:
Inferring Structure Information from Typography. DDEP/PODDP 2000: 44-55
Coauthor Index
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