Landgraf, Tim

8 publications

NeurIPS 2024 WeiPer: OOD Detection Using Weight Perturbations of Class Projections Maximilian Granz, Manuel Heurich, Tim Landgraf

TMLR 2022 A Rigorous Study of the Deep Taylor Decomposition Leon Sixt, Tim Landgraf

NeurIPS 2022 Chaotic Dynamics Are Intrinsic to Neural Network Training with SGD Luis Herrmann, Maximilian Granz, Tim Landgraf

ICML 2022 DNNR: Differential Nearest Neighbors Regression Youssef Nader, Leon Sixt, Tim Landgraf

ICLR 2022 Do Users Benefit from Interpretable Vision? a User Study, Baseline, and Dataset Leon Sixt, Martin Schuessler, Oana-Iuliana Popescu, Philipp Weiß, Tim Landgraf

ICLR 2020 Restricting the Flow: Information Bottlenecks for Attribution Karl Schulz, Leon Sixt, Federico Tombari, Tim Landgraf

ICML 2020 When Explanations Lie: Why Many Modified BP Attributions Fail Leon Sixt, Maximilian Granz, Tim Landgraf

ICLR 2017 RenderGAN: Generating Realistic Labeled Data Leon Sixt, Benjamin Wild, Tim Landgraf