Leon Sixt

According to our database, Leon Sixt authored at least 11 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Enhancing And Evaluating Interpretability In Machine Learning Through Theory And Practice.

Leon Sixt

PhD thesis, 2023

2022

A Rigorous Study Of The Deep Taylor Decomposition.

Leon Sixt, Tim Landgraf

Trans. Mach. Learn. Res., 2022

DNNR: Differential Nearest Neighbors Regression.

Youssef Nader, Leon Sixt, Tim Landgraf

Proceedings of the International Conference on Machine Learning, 2022

Do Users Benefit From Interpretable Vision? A User Study, Baseline, And Dataset.

Leon Sixt, Martin Schuessler, Oana-Iuliana Popescu, Philipp Weiß, Tim Landgraf

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Analyzing a Caching Model.

Leon Sixt, Evan Zheran Liu, Marie Pellat, James Wexler, Milad Hashemi, Been Kim, Martin Maas

CoRR, 2021

Two4Two: Evaluating Interpretable Machine Learning - A Synthetic Dataset For Controlled Experiments.

Martin Schuessler, Philipp Weiß, Leon Sixt

CoRR, 2021

2020

When Explanations Lie: Why Many Modified BP Attributions Fail.

Leon Sixt, Maximilian Granz, Tim Landgraf

Proceedings of the 37th International Conference on Machine Learning, 2020

Restricting the Flow: Information Bottlenecks for Attribution.

Karl Schulz, Leon Sixt, Federico Tombari, Tim Landgraf

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

When Explanations Lie: Why Modified BP Attribution Fails.

Leon Sixt, Maximilian Granz, Tim Landgraf

CoRR, 2019

2018

RenderGAN: Generating Realistic Labeled Data.

Leon Sixt, Benjamin Wild, Tim Landgraf

Frontiers Robotics AI, 2018

Automatic localization and decoding of honeybee markers using deep convolutional neural networks.

Benjamin Wild, Leon Sixt, Tim Landgraf

CoRR, 2018