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Journal Articles
- 2021
[j1]Max Maria Losch, Mario Fritz, Bernt Schiele
:
Semantic Bottlenecks: Quantifying and Improving Inspectability of Deep Representations. Int. J. Comput. Vis. 129(11): 3136-3153 (2021)
Conference and Workshop Papers
- 2024
- [c4]Max Maria Losch, Mohamed Omran, David Stutz, Mario Fritz, Bernt Schiele:
On Adversarial Training without Perturbing all Examples. ICLR 2024 - 2023
- [c3]Max Maria Losch, David Stutz, Bernt Schiele, Mario Fritz:
Certified Robust Models with Slack Control and Large Lipschitz Constants. DAGM 2023: 574-588 - 2020
- [c2]Max Maria Losch, Mario Fritz, Bernt Schiele:
Semantic Bottlenecks: Quantifying and Improving Inspectability of Deep Representations. GCPR 2020: 15-29 - [c1]Yue Fan, Yongqin Xian, Max Maria Losch, Bernt Schiele:
Analyzing the Dependency of ConvNets on Spatial Information. GCPR 2020: 101-115
Informal and Other Publications
- 2023
- [i3]Max Maria Losch, David Stutz, Bernt Schiele, Mario Fritz:
Certified Robust Models with Slack Control and Large Lipschitz Constants. CoRR abs/2309.06166 (2023) - 2020
- [i2]Yue Fan, Yongqin Xian, Max Maria Losch, Bernt Schiele:
Analyzing the Dependency of ConvNets on Spatial Information. CoRR abs/2002.01827 (2020) - 2019
- [i1]Max Maria Losch, Mario Fritz, Bernt Schiele:
Interpretability Beyond Classification Output: Semantic Bottleneck Networks. CoRR abs/1907.10882 (2019)
Coauthor Index
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