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VCNet: A self-explaining model for realistic counterfactual generation

VCNet: A self-explaining model for realistic counterfactual generation

21 December 2022
Victor Guyomard
Franccoise Fessant
Thomas Guyet
Tassadit Bouadi
Alexandre Termier
    BDL
    OOD
    CML
ArXivPDFHTML

Papers citing "VCNet: A self-explaining model for realistic counterfactual generation"

13 / 13 papers shown
Title
Prediction via Shapley Value Regression
Prediction via Shapley Value Regression
Amr Alkhatib
Roman Bresson
Henrik Bostrom
Michalis Vazirgiannis
TDI
FAtt
64
0
0
07 May 2025
Explanations Go Linear: Interpretable and Individual Latent Encoding for Post-hoc Explainability
Explanations Go Linear: Interpretable and Individual Latent Encoding for Post-hoc Explainability
Simone Piaggesi
Riccardo Guidotti
F. Giannotti
D. Pedreschi
FAtt
LRM
148
0
0
29 Apr 2025
Evaluating Explanations Through LLMs: Beyond Traditional User Studies
Evaluating Explanations Through LLMs: Beyond Traditional User Studies
Francesco Bombassei De Bona
Gabriele Dominici
Tim Miller
Marc Langheinrich
M. Gjoreski
22
4
0
23 Oct 2024
Self-eXplainable AI for Medical Image Analysis: A Survey and New
  Outlooks
Self-eXplainable AI for Medical Image Analysis: A Survey and New Outlooks
Junlin Hou
Sicen Liu
Yequan Bie
Hongmei Wang
Andong Tan
Luyang Luo
Hao Chen
XAI
25
3
0
03 Oct 2024
The Gaussian Discriminant Variational Autoencoder (GdVAE): A
  Self-Explainable Model with Counterfactual Explanations
The Gaussian Discriminant Variational Autoencoder (GdVAE): A Self-Explainable Model with Counterfactual Explanations
Anselm Haselhoff
Kevin Trelenberg
Fabian Küppers
Jonas Schneider
29
1
0
19 Sep 2024
Enhancing Counterfactual Image Generation Using Mahalanobis Distance
  with Distribution Preferences in Feature Space
Enhancing Counterfactual Image Generation Using Mahalanobis Distance with Distribution Preferences in Feature Space
Yukai Zhang
Ao Xu
Zihao Li
Tieru Wu
42
1
0
31 May 2024
Federated Behavioural Planes: Explaining the Evolution of Client
  Behaviour in Federated Learning
Federated Behavioural Planes: Explaining the Evolution of Client Behaviour in Federated Learning
Dario Fenoglio
Gabriele Dominici
Pietro Barbiero
Alberto Tonda
M. Gjoreski
Marc Langheinrich
FedML
34
0
0
24 May 2024
Robust Stochastic Graph Generator for Counterfactual Explanations
Robust Stochastic Graph Generator for Counterfactual Explanations
Mario Alfonso Prado-Romero
Bardh Prenkaj
Giovanni Stilo
CML
13
3
0
18 Dec 2023
Viewing the process of generating counterfactuals as a source of
  knowledge: a new approach for explaining classifiers
Viewing the process of generating counterfactuals as a source of knowledge: a new approach for explaining classifiers
Vincent Lemaire
Nathan Le Boudec
Victor Guyomard
Franccoise Fessant
CML
28
0
0
08 Sep 2023
Interpretable Graph Neural Networks for Tabular Data
Interpretable Graph Neural Networks for Tabular Data
Amr Alkhatib
Sofiane Ennadir
Henrik Bostrom
Michalis Vazirgiannis
LMTD
36
4
0
17 Aug 2023
Generating robust counterfactual explanations
Generating robust counterfactual explanations
Victor Guyomard
Franccoise Fessant
Thomas Guyet
Tassadit Bouadi
Alexandre Termier
43
10
0
24 Apr 2023
Efficient XAI Techniques: A Taxonomic Survey
Efficient XAI Techniques: A Taxonomic Survey
Yu-Neng Chuang
Guanchu Wang
Fan Yang
Zirui Liu
Xuanting Cai
Mengnan Du
Xia Hu
24
32
0
07 Feb 2023
CounterNet: End-to-End Training of Prediction Aware Counterfactual
  Explanations
CounterNet: End-to-End Training of Prediction Aware Counterfactual Explanations
Hangzhi Guo
T. Nguyen
A. Yadav
OffRL
16
7
0
15 Sep 2021
1