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Surrogate Model-Based Explainability Methods for Point Cloud NNs

Surrogate Model-Based Explainability Methods for Point Cloud NNs

28 July 2021
Hanxiao Tan
Helena Kotthaus
    3DPC
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Papers citing "Surrogate Model-Based Explainability Methods for Point Cloud NNs"

15 / 15 papers shown
Title
PointExplainer: Towards Transparent Parkinson's Disease Diagnosis
PointExplainer: Towards Transparent Parkinson's Disease Diagnosis
Xuechao Wang
S. Nõmm
Junqing Huang
Kadri Medijainen
A. Toomela
Michael Ruzhansky
AAML
FAtt
26
0
0
04 May 2025
Explainable LiDAR 3D Point Cloud Segmentation and Clustering for Detecting Airplane-Generated Wind Turbulence
Zhan Qu
Shuzhou Yuan
Michael Färber
Marius Brennfleck
Niklas Wartha
Anton Stephan
3DPC
41
0
0
01 Mar 2025
Explainability of Point Cloud Neural Networks Using SMILE: Statistical
  Model-Agnostic Interpretability with Local Explanations
Explainability of Point Cloud Neural Networks Using SMILE: Statistical Model-Agnostic Interpretability with Local Explanations
Seyed Mohammad Ahmadi
Koorosh Aslansefat
Ruben Valcarce-Dineiro
Joshua Barnfather
36
1
0
20 Oct 2024
One Wave to Explain Them All: A Unifying Perspective on Post-hoc
  Explainability
One Wave to Explain Them All: A Unifying Perspective on Post-hoc Explainability
Gabriel Kasmi
Amandine Brunetto
Thomas Fel
Jayneel Parekh
AAML
FAtt
35
0
0
02 Oct 2024
Explaining Black-box Model Predictions via Two-level Nested Feature
  Attributions with Consistency Property
Explaining Black-box Model Predictions via Two-level Nested Feature Attributions with Consistency Property
Yuya Yoshikawa
Masanari Kimura
Ryotaro Shimizu
Yuki Saito
FAtt
41
0
0
23 May 2024
Contestable AI needs Computational Argumentation
Contestable AI needs Computational Argumentation
Francesco Leofante
Hamed Ayoobi
Adam Dejl
Gabriel Freedman
Deniz Gorur
...
Anna Rapberger
Fabrizio Russo
Xiang Yin
Dekai Zhang
Francesca Toni
30
3
0
17 May 2024
Flow AM: Generating Point Cloud Global Explanations by Latent Alignment
Flow AM: Generating Point Cloud Global Explanations by Latent Alignment
Hanxiao Tan
44
1
0
29 Apr 2024
Fast and Simple Explainability for Point Cloud Networks
Fast and Simple Explainability for Point Cloud Networks
Meir Yossef Levi
Guy Gilboa
3DPC
26
3
0
12 Mar 2024
DAM: Diffusion Activation Maximization for 3D Global Explanations
DAM: Diffusion Activation Maximization for 3D Global Explanations
Hanxiao Tan
32
1
0
26 Jan 2024
Robustifying Point Cloud Networks by Refocusing
Robustifying Point Cloud Networks by Refocusing
Meir Yossef Levi
Guy Gilboa
3DPC
35
4
0
10 Aug 2023
Concept Activation Vectors for Generating User-Defined 3D Shapes
Concept Activation Vectors for Generating User-Defined 3D Shapes
Stefan Druc
Aditya Balu
Peter Wooldridge
A. Krishnamurthy
S. Sarkar
3DPC
LLMSV
19
2
0
29 Apr 2022
Maximum Entropy Baseline for Integrated Gradients
Maximum Entropy Baseline for Integrated Gradients
Hanxiao Tan
FAtt
24
4
0
12 Apr 2022
Visualizing Global Explanations of Point Cloud DNNs
Visualizing Global Explanations of Point Cloud DNNs
Hanxiao Tan
3DPC
50
7
0
17 Mar 2022
Explainability-Aware One Point Attack for Point Cloud Neural Networks
Explainability-Aware One Point Attack for Point Cloud Neural Networks
Hanxiao Tan
Helena Kotthaus
3DPC
AAML
24
11
0
08 Oct 2021
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas J. Guibas
3DH
3DPC
3DV
PINN
222
14,131
0
02 Dec 2016
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