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Explaining Machine Learning Classifiers through Diverse Counterfactual
  Explanations

Explaining Machine Learning Classifiers through Diverse Counterfactual Explanations

19 May 2019
R. Mothilal
Amit Sharma
Chenhao Tan
    CML
ArXivPDFHTML

Papers citing "Explaining Machine Learning Classifiers through Diverse Counterfactual Explanations"

50 / 177 papers shown
Title
Counterfactual Strategies for Markov Decision Processes
Counterfactual Strategies for Markov Decision Processes
Paul Kobialka
Lina Gerlach
Francesco Leofante
E. Ábrahám
S. L. T. Tarifa
E. Johnsen
31
0
0
14 May 2025
Interpretable Event Diagnosis in Water Distribution Networks
Interpretable Event Diagnosis in Water Distribution Networks
André Artelt
Stelios G. Vrachimis
Demetrios G. Eliades
Ulrike Kuhl
Barbara Hammer
Marios M. Polycarpou
36
0
0
12 May 2025
From Search To Sampling: Generative Models For Robust Algorithmic Recourse
From Search To Sampling: Generative Models For Robust Algorithmic Recourse
Prateek Garg
Lokesh Nagalapatti
Sunita Sarawagi
31
0
0
12 May 2025
Realistic Counterfactual Explanations for Machine Learning-Controlled Mobile Robots using 2D LiDAR
Realistic Counterfactual Explanations for Machine Learning-Controlled Mobile Robots using 2D LiDAR
Sindre Benjamin Remman
A. Lekkas
29
0
0
11 May 2025
Explainable Artificial Intelligence Techniques for Software Development Lifecycle: A Phase-specific Survey
Explainable Artificial Intelligence Techniques for Software Development Lifecycle: A Phase-specific Survey
Lakshit Arora
Sanjay Surendranath Girija
Shashank Kapoor
Aman Raj
Dipen Pradhan
Ankit Shetgaonkar
35
0
0
11 May 2025
What Do People Want to Know About Artificial Intelligence (AI)? The Importance of Answering End-User Questions to Explain Autonomous Vehicle (AV) Decisions
What Do People Want to Know About Artificial Intelligence (AI)? The Importance of Answering End-User Questions to Explain Autonomous Vehicle (AV) Decisions
Somayeh Molaei
Lionel P. Robert
Nikola Banovic
26
0
0
09 May 2025
Why Are You Wrong? Counterfactual Explanations for Language Grounding with 3D Objects
Why Are You Wrong? Counterfactual Explanations for Language Grounding with 3D Objects
Tobias Preintner
Weixuan Yuan
Qi Huang
Adrian König
Thomas Bäck
E. Raponi
Niki van Stein
29
0
0
09 May 2025
Exploring the Impact of Explainable AI and Cognitive Capabilities on Users' Decisions
Exploring the Impact of Explainable AI and Cognitive Capabilities on Users' Decisions
Federico Maria Cau
Lucio Davide Spano
31
0
0
02 May 2025
Explanations as Bias Detectors: A Critical Study of Local Post-hoc XAI Methods for Fairness Exploration
Explanations as Bias Detectors: A Critical Study of Local Post-hoc XAI Methods for Fairness Exploration
Vasiliki Papanikou
Danae Pla Karidi
E. Pitoura
Emmanouil Panagiotou
Eirini Ntoutsi
31
0
0
01 May 2025
DiCE-Extended: A Robust Approach to Counterfactual Explanations in Machine Learning
DiCE-Extended: A Robust Approach to Counterfactual Explanations in Machine Learning
Volkan Bakir
Polat Goktas
Sureyya Akyuz
55
0
0
26 Apr 2025
Unifying Image Counterfactuals and Feature Attributions with Latent-Space Adversarial Attacks
Unifying Image Counterfactuals and Feature Attributions with Latent-Space Adversarial Attacks
Jeremy Goldwasser
Giles Hooker
AAML
28
0
0
21 Apr 2025
Understanding Fixed Predictions via Confined Regions
Understanding Fixed Predictions via Confined Regions
Connor Lawless
Tsui-Wei Weng
Berk Ustun
Madeleine Udell
48
0
0
22 Feb 2025
Counterfactual Explanations as Plans
Counterfactual Explanations as Plans
Vaishak Belle
LRM
83
2
0
13 Feb 2025
Model-Free Counterfactual Subset Selection at Scale
Model-Free Counterfactual Subset Selection at Scale
Minh Nguyen
Viet Hung Doan
Anh Tuan Nguyen
Jun Jo
Quoc Viet Hung Nguyen
LRM
54
0
0
12 Feb 2025
Graph Counterfactual Explainable AI via Latent Space Traversal
Graph Counterfactual Explainable AI via Latent Space Traversal
Andreas Abildtrup Hansen
Paraskevas Pegios
Anna Calissano
Aasa Feragen
OOD
BDL
AAML
83
0
0
15 Jan 2025
The explanation dialogues: an expert focus study to understand requirements towards explanations within the GDPR
The explanation dialogues: an expert focus study to understand requirements towards explanations within the GDPR
Laura State
Alejandra Bringas Colmenarejo
Andrea Beretta
Salvatore Ruggieri
Franco Turini
Stephanie Law
AILaw
ELM
46
0
0
10 Jan 2025
Counterfactual Explanation for Auto-Encoder Based Time-Series Anomaly Detection
A. Srinivasan
Varun Singapuri Ravi
J. C. Andresen
Anders Holst
CML
41
0
0
03 Jan 2025
Citations and Trust in LLM Generated Responses
Yifan Ding
Matthew Facciani
Amrit Poudel
Ellen Joyce
Salvador Aguiñaga
Balaji Veeramani
Sanmitra Bhattacharya
Tim Weninger
HILM
49
3
0
03 Jan 2025
Feature Responsiveness Scores: Model-Agnostic Explanations for Recourse
Feature Responsiveness Scores: Model-Agnostic Explanations for Recourse
Seung Hyun Cheon
Anneke Wernerfelt
Sorelle A. Friedler
Berk Ustun
FaML
FAtt
45
0
0
29 Oct 2024
User-centric evaluation of explainability of AI with and for humans: a
  comprehensive empirical study
User-centric evaluation of explainability of AI with and for humans: a comprehensive empirical study
Szymon Bobek
Paloma Korycińska
Monika Krakowska
Maciej Mozolewski
Dorota Rak
Magdalena Zych
Magdalena Wójcik
Grzegorz J. Nalepa
ELM
37
1
0
21 Oct 2024
S-CFE: Simple Counterfactual Explanations
S-CFE: Simple Counterfactual Explanations
Shpresim Sadiku
Moritz Wagner
Sai Ganesh Nagarajan
Sebastian Pokutta
26
0
0
21 Oct 2024
Case-based Explainability for Random Forest: Prototypes, Critics,
  Counter-factuals and Semi-factuals
Case-based Explainability for Random Forest: Prototypes, Critics, Counter-factuals and Semi-factuals
Gregory Yampolsky
Dhruv Desai
Mingshu Li
Stefano Pasquali
Dhagash Mehta
34
4
0
13 Aug 2024
A Family of Distributions of Random Subsets for Controlling Positive and Negative Dependence
A Family of Distributions of Random Subsets for Controlling Positive and Negative Dependence
Sangwoo Shin
H. Hino
29
0
0
02 Aug 2024
An Actionability Assessment Tool for Explainable AI
An Actionability Assessment Tool for Explainable AI
Ronal Singh
Tim Miller
L. Sonenberg
Eduardo Velloso
F. Vetere
Piers Howe
Paul Dourish
27
2
0
19 Jun 2024
Counterfactual Metarules for Local and Global Recourse
Counterfactual Metarules for Local and Global Recourse
Tom Bewley
Salim I. Amoukou
Saumitra Mishra
Daniele Magazzeni
Manuela Veloso
42
1
0
29 May 2024
Counterfactual Explanations for Multivariate Time-Series without
  Training Datasets
Counterfactual Explanations for Multivariate Time-Series without Training Datasets
Xiangyu Sun
Raquel Aoki
Kevin H. Wilson
27
1
0
28 May 2024
Probabilistically Plausible Counterfactual Explanations with Normalizing
  Flows
Probabilistically Plausible Counterfactual Explanations with Normalizing Flows
Patryk Wielopolski
Oleksii Furman
Jerzy Stefanowski
Maciej Ziȩba
43
2
0
27 May 2024
Trustworthy Actionable Perturbations
Trustworthy Actionable Perturbations
Jesse Friedbaum
S. Adiga
Ravi Tandon
AAML
38
2
0
18 May 2024
Learning Actionable Counterfactual Explanations in Large State Spaces
Learning Actionable Counterfactual Explanations in Large State Spaces
Keziah Naggita
Matthew R. Walter
Avrim Blum
OffRL
33
0
0
25 Apr 2024
Global Counterfactual Directions
Global Counterfactual Directions
Bartlomiej Sobieski
P. Biecek
DiffM
58
5
0
18 Apr 2024
Designing for Complementarity: A Conceptual Framework to Go Beyond the
  Current Paradigm of Using XAI in Healthcare
Designing for Complementarity: A Conceptual Framework to Go Beyond the Current Paradigm of Using XAI in Healthcare
Elisa Rubegni
Omran Ayoub
Stefania Maria Rita Rizzo
Marco Barbero
G. Bernegger
Francesca Faraci
Francesca Mangili
Emiliano Soldini
P. Trimboli
Alessandro Facchini
29
1
0
06 Apr 2024
Even-Ifs From If-Onlys: Are the Best Semi-Factual Explanations Found
  Using Counterfactuals As Guides?
Even-Ifs From If-Onlys: Are the Best Semi-Factual Explanations Found Using Counterfactuals As Guides?
Saugat Aryal
Mark T. Keane
34
4
0
01 Mar 2024
QUCE: The Minimisation and Quantification of Path-Based Uncertainty for Generative Counterfactual Explanations
QUCE: The Minimisation and Quantification of Path-Based Uncertainty for Generative Counterfactual Explanations
J. Duell
M. Seisenberger
Hsuan-Wei Fu
Xiuyi Fan
UQCV
BDL
40
1
0
27 Feb 2024
Succinct Interaction-Aware Explanations
Succinct Interaction-Aware Explanations
Sascha Xu
Joscha Cuppers
Jilles Vreeken
FAtt
21
0
0
08 Feb 2024
Generating Likely Counterfactuals Using Sum-Product Networks
Generating Likely Counterfactuals Using Sum-Product Networks
Jiri Nemecek
Tomás Pevný
Jakub Marecek
TPM
76
0
0
25 Jan 2024
Beyond Concept Bottleneck Models: How to Make Black Boxes Intervenable?
Beyond Concept Bottleneck Models: How to Make Black Boxes Intervenable?
Sonia Laguna
Ricards Marcinkevics
Moritz Vandenhirtz
Julia E. Vogt
35
17
0
24 Jan 2024
Distributional Counterfactual Explanations With Optimal Transport
Distributional Counterfactual Explanations With Optimal Transport
Lei You
Lele Cao
Mattias Nilsson
Bo Zhao
Lei Lei
OT
OffRL
20
1
0
23 Jan 2024
PUPAE: Intuitive and Actionable Explanations for Time Series Anomalies
PUPAE: Intuitive and Actionable Explanations for Time Series Anomalies
Audrey Der
Chin-Chia Michael Yeh
Yan Zheng
Junpeng Wang
Zhongfang Zhuang
Liang Wang
Wei Zhang
Eamonn J. Keogh
AI4TS
45
2
0
16 Jan 2024
Navigating the Structured What-If Spaces: Counterfactual Generation via
  Structured Diffusion
Navigating the Structured What-If Spaces: Counterfactual Generation via Structured Diffusion
Nishtha Madaan
Srikanta J. Bedathur
DiffM
38
0
0
21 Dec 2023
Causality and Explainability for Trustworthy Integrated Pest Management
Causality and Explainability for Trustworthy Integrated Pest Management
Ilias Tsoumas
Vasileios Sitokonstantinou
Georgios Giannarakis
Evagelia Lampiri
C. Athanassiou
Gustau Camps-Valls
C. Kontoes
Ioannis Athanasiadis
28
2
0
07 Dec 2023
D4Explainer: In-Distribution GNN Explanations via Discrete Denoising
  Diffusion
D4Explainer: In-Distribution GNN Explanations via Discrete Denoising Diffusion
Jialin Chen
Shirley Wu
Abhijit Gupta
Rex Ying
DiffM
42
4
0
30 Oct 2023
Counterfactual Explanations for Time Series Forecasting
Counterfactual Explanations for Time Series Forecasting
Zhendong Wang
Ioanna Miliou
Isak Samsten
P. Papapetrou
BDL
AI4TS
OOD
37
4
0
12 Oct 2023
Natural Example-Based Explainability: a Survey
Natural Example-Based Explainability: a Survey
Antonin Poché
Lucas Hervier
M. Bakkay
XAI
28
11
0
05 Sep 2023
Ensemble of Counterfactual Explainers
Ensemble of Counterfactual Explainers
Riccardo Guidotti
Salvatore Ruggieri
CML
16
8
0
29 Aug 2023
Endogenous Macrodynamics in Algorithmic Recourse
Endogenous Macrodynamics in Algorithmic Recourse
Patrick Altmeyer
Giovan Angela
Aleksander Buszydlik
Karol Dobiczek
A. V. Deursen
Cynthia C. S. Liem
29
7
0
16 Aug 2023
Explaining Black-Box Models through Counterfactuals
Explaining Black-Box Models through Counterfactuals
Patrick Altmeyer
A. V. Deursen
Cynthia C. S. Liem
CML
LRM
37
2
0
14 Aug 2023
Finding Optimal Diverse Feature Sets with Alternative Feature Selection
Finding Optimal Diverse Feature Sets with Alternative Feature Selection
Jakob Bach
27
1
0
21 Jul 2023
On the Connection between Game-Theoretic Feature Attributions and
  Counterfactual Explanations
On the Connection between Game-Theoretic Feature Attributions and Counterfactual Explanations
Emanuele Albini
Shubham Sharma
Saumitra Mishra
Danial Dervovic
Daniele Magazzeni
FAtt
46
2
0
13 Jul 2023
Robust Ranking Explanations
Robust Ranking Explanations
Chao Chen
Chenghua Guo
Guixiang Ma
Ming Zeng
Xi Zhang
Sihong Xie
FAtt
AAML
35
0
0
08 Jul 2023
The future of human-centric eXplainable Artificial Intelligence (XAI) is
  not post-hoc explanations
The future of human-centric eXplainable Artificial Intelligence (XAI) is not post-hoc explanations
Vinitra Swamy
Jibril Frej
Tanja Kaser
34
14
0
01 Jul 2023
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