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2020 – today
- 2023
[b1]Leon Sixt:
Enhancing And Evaluating Interpretability In Machine Learning Through Theory And Practice. Free University of Berlin, Germany, 2023- 2022
- [j2]Leon Sixt, Tim Landgraf:
A Rigorous Study Of The Deep Taylor Decomposition. Trans. Mach. Learn. Res. 2022 (2022) - [c5]Leon Sixt, Martin Schuessler, Oana-Iuliana Popescu, Philipp Weiß, Tim Landgraf:
Do Users Benefit From Interpretable Vision? A User Study, Baseline, And Dataset. ICLR 2022 - [c4]Youssef Nader, Leon Sixt, Tim Landgraf:
DNNR: Differential Nearest Neighbors Regression. ICML 2022: 16296-16317 - [i9]Leon Sixt, Martin Schuessler, Oana-Iuliana Popescu, Philipp Weiß, Tim Landgraf:
Do Users Benefit From Interpretable Vision? A User Study, Baseline, And Dataset. CoRR abs/2204.11642 (2022) - [i8]Youssef Nader, Leon Sixt, Tim Landgraf:
DNNR: Differential Nearest Neighbors Regression. CoRR abs/2205.08434 (2022) - [i7]Leon Sixt, Tim Landgraf:
A Rigorous Study Of The Deep Taylor Decomposition. CoRR abs/2211.08425 (2022) - 2021
- [i6]Martin Schuessler, Philipp Weiß, Leon Sixt:
Two4Two: Evaluating Interpretable Machine Learning - A Synthetic Dataset For Controlled Experiments. CoRR abs/2105.02825 (2021) - [i5]Leon Sixt, Evan Zheran Liu, Marie Pellat, James Wexler, Milad Hashemi, Been Kim, Martin Maas:
Analyzing a Caching Model. CoRR abs/2112.06989 (2021) - 2020
- [c3]Karl Schulz, Leon Sixt, Federico Tombari, Tim Landgraf:
Restricting the Flow: Information Bottlenecks for Attribution. ICLR 2020 - [c2]Leon Sixt, Maximilian Granz, Tim Landgraf:
When Explanations Lie: Why Many Modified BP Attributions Fail. ICML 2020: 9046-9057 - [i4]Karl Schulz, Leon Sixt, Federico Tombari, Tim Landgraf:
Restricting the Flow: Information Bottlenecks for Attribution. CoRR abs/2001.00396 (2020)
2010 – 2019
- 2019
- [i3]Leon Sixt, Maximilian Granz, Tim Landgraf:
When Explanations Lie: Why Modified BP Attribution Fails. CoRR abs/1912.09818 (2019) - 2018
- [j1]Leon Sixt, Benjamin Wild
, Tim Landgraf:
RenderGAN: Generating Realistic Labeled Data. Frontiers Robotics AI 5: 66 (2018) - [i2]Benjamin Wild, Leon Sixt, Tim Landgraf:
Automatic localization and decoding of honeybee markers using deep convolutional neural networks. CoRR abs/1802.04557 (2018) - 2017
- [c1]Leon Sixt, Benjamin Wild, Tim Landgraf:
RenderGAN: Generating Realistic Labeled Data. ICLR (Workshop) 2017 - 2016
- [i1]Leon Sixt, Benjamin Wild, Tim Landgraf:
RenderGAN: Generating Realistic Labeled Data. CoRR abs/1611.01331 (2016)
Coauthor Index
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