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2020 – today
- 2024
[c7]Hanxiao Tan:
Evaluating Explanation Robustness to Model Pruning. IJCNN 2024: 1-8- [i8]Hanxiao Tan:
DAM: Diffusion Activation Maximization for 3D Global Explanations. CoRR abs/2401.14938 (2024) - [i7]Hanxiao Tan:
Flow AM: Generating Point Cloud Global Explanations by Latent Alignment. CoRR abs/2404.18760 (2024) - 2023
- [c6]Hanxiao Tan:
Maximum Entropy Baseline for Integrated Gradients. IJCNN 2023: 1-8 - [c5]Hanxiao Tan:
The Generalizability of Explanations. IJCNN 2023: 1-8 - [c4]Katharina Beckh, Sebastian Müller, Matthias Jakobs, Vanessa Toborek, Hanxiao Tan, Raphael Fischer, Pascal Welke, Sebastian Houben, Laura von Rüden:
Harnessing Prior Knowledge for Explainable Machine Learning: An Overview. SaTML 2023: 450-463 - [c3]Hanxiao Tan, Helena Kotthaus:
Explainability-Aware One Point Attack for Point Cloud Neural Networks. WACV 2023: 4570-4579 - [c2]Hanxiao Tan:
Visualizing Global Explanations of Point Cloud DNNs. WACV 2023: 4730-4739 - [i6]Hanxiao Tan:
The Generalizability of Explanations. CoRR abs/2302.11965 (2023) - 2022
- [c1]Hanxiao Tan, Helena Kotthaus:
Surrogate Model-Based Explainability Methods for Point Cloud NNs. WACV 2022: 2927-2936 - [i5]Hanxiao Tan:
Visualizing Global Explanations of Point Cloud DNNs. CoRR abs/2203.09505 (2022) - [i4]Hanxiao Tan:
Maximum Entropy Baseline for Integrated Gradients. CoRR abs/2204.05948 (2022) - 2021
- [i3]Katharina Beckh, Sebastian Müller, Matthias Jakobs, Vanessa Toborek, Hanxiao Tan, Raphael Fischer, Pascal Welke, Sebastian Houben, Laura von Rüden:
Explainable Machine Learning with Prior Knowledge: An Overview. CoRR abs/2105.10172 (2021) - [i2]Hanxiao Tan, Helena Kotthaus:
Surrogate Model-Based Explainability Methods for Point Cloud NNs. CoRR abs/2107.13459 (2021) - [i1]Hanxiao Tan, Helena Kotthaus:
Explainability-Aware One Point Attack for Point Cloud Neural Networks. CoRR abs/2110.04158 (2021)
Coauthor Index
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