Hanxiao Tan

According to our database, Hanxiao Tan authored at least 10 papers between 2021 and 2024.

Collaborative distances:

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

2024

Flow AM: Generating Point Cloud Global Explanations by Latent Alignment.

Hanxiao Tan

CoRR, 2024

DAM: Diffusion Activation Maximization for 3D Global Explanations.

Hanxiao Tan

CoRR, 2024

Evaluating Explanation Robustness to Model Pruning.

Hanxiao Tan

Proceedings of the International Joint Conference on Neural Networks, 2024

2023

Explainability-Aware One Point Attack for Point Cloud Neural Networks.

Hanxiao Tan, Helena Kotthaus

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Visualizing Global Explanations of Point Cloud DNNs.

Hanxiao Tan

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Harnessing Prior Knowledge for Explainable Machine Learning: An Overview.

Katharina Beckh, Sebastian Müller, Matthias Jakobs, Vanessa Toborek, Hanxiao Tan, Raphael Fischer, Pascal Welke, Sebastian Houben, Laura von Rüden

Proceedings of the 2023 IEEE Conference on Secure and Trustworthy Machine Learning, 2023

The Generalizability of Explanations.

Hanxiao Tan

Proceedings of the International Joint Conference on Neural Networks, 2023

Maximum Entropy Baseline for Integrated Gradients.

Hanxiao Tan

Proceedings of the International Joint Conference on Neural Networks, 2023

2022

Surrogate Model-Based Explainability Methods for Point Cloud NNs.

Hanxiao Tan, Helena Kotthaus

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

2021

Explainable Machine Learning with Prior Knowledge: An Overview.

Katharina Beckh, Sebastian Müller, Matthias Jakobs, Vanessa Toborek, Hanxiao Tan, Raphael Fischer, Pascal Welke, Sebastian Houben, Laura von Rüden

CoRR, 2021