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1909.09369
Cited By
FACE: Feasible and Actionable Counterfactual Explanations
20 September 2019
Rafael Poyiadzi
Kacper Sokol
Raúl Santos-Rodríguez
T. D. Bie
Peter A. Flach
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Papers citing
"FACE: Feasible and Actionable Counterfactual Explanations"
50 / 86 papers shown
Title
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
A New Approach to Backtracking Counterfactual Explanations: A Unified Causal Framework for Efficient Model Interpretability
Pouria Fatemi
Ehsan Sharifian
Mohammad Hossein Yassaee
43
0
0
05 May 2025
Flexible Counterfactual Explanations with Generative Models
Stig Hellemans
Andres Algaba
Sam Verboven
Vincent Ginis
35
0
0
24 Feb 2025
Model-Free Counterfactual Subset Selection at Scale
Minh Nguyen
Viet Hung Doan
Anh Tuan Nguyen
Jun Jo
Quoc Viet Hung Nguyen
LRM
57
0
0
12 Feb 2025
Graph Counterfactual Explainable AI via Latent Space Traversal
Andreas Abildtrup Hansen
Paraskevas Pegios
Anna Calissano
Aasa Feragen
OOD
BDL
AAML
85
0
0
15 Jan 2025
Faithful Counterfactual Visual Explanations (FCVE)
Bismillah Khan
Syed Ali Tariq
Tehseen Zia
Muhammad Ahsan
David Windridge
44
0
0
12 Jan 2025
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
Tom Bewley
Salim I. Amoukou
Saumitra Mishra
Daniele Magazzeni
Manuela Veloso
47
1
0
29 May 2024
Probabilistically Plausible Counterfactual Explanations with Normalizing Flows
Patryk Wielopolski
Oleksii Furman
Jerzy Stefanowski
Maciej Ziȩba
51
2
0
27 May 2024
Trustworthy Actionable Perturbations
Jesse Friedbaum
Sudarshan Adiga
Ravi Tandon
AAML
43
2
0
18 May 2024
CountARFactuals -- Generating plausible model-agnostic counterfactual explanations with adversarial random forests
Susanne Dandl
Kristin Blesch
Timo Freiesleben
Gunnar Konig
Jan Kapar
B. Bischl
Marvin N. Wright
AAML
37
5
0
04 Apr 2024
Succinct Interaction-Aware Explanations
Sascha Xu
Joscha Cuppers
Jilles Vreeken
FAtt
29
0
0
08 Feb 2024
Collective Counterfactual Explanations via Optimal Transport
A. Ehyaei
Ali Shirali
Samira Samadi
OffRL
OT
28
1
0
07 Feb 2024
Generating Likely Counterfactuals Using Sum-Product Networks
Jiri Nemecek
Tomás Pevný
Jakub Marecek
TPM
76
0
0
25 Jan 2024
TraCE: Trajectory Counterfactual Explanation Scores
Jeffrey N Clark
Edward A. Small
Nawid Keshtmand
Michelle W.L. Wan
Elena Fillola Mayoral
Enrico Werner
Christopher P Bourdeaux
Raúl Santos-Rodríguez
30
1
0
27 Sep 2023
Explaining Black-Box Models through Counterfactuals
Patrick Altmeyer
A. V. Deursen
Cynthia C. S. Liem
CML
LRM
39
2
0
14 Aug 2023
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
Navigating Explanatory Multiverse Through Counterfactual Path Geometry
Kacper Sokol
E. Small
Yueqing Xuan
45
5
0
05 Jun 2023
Choose your Data Wisely: A Framework for Semantic Counterfactuals
Edmund Dervakos
Konstantinos Thomas
Giorgos Filandrianos
Giorgos Stamou
AAML
32
6
0
28 May 2023
GLOBE-CE: A Translation-Based Approach for Global Counterfactual Explanations
Dan Ley
Saumitra Mishra
Daniele Magazzeni
LRM
51
16
0
26 May 2023
Rectifying Group Irregularities in Explanations for Distribution Shift
Adam Stein
Yinjun Wu
Eric Wong
Mayur Naik
42
1
0
25 May 2023
MCD: A Model-Agnostic Counterfactual Search Method For Multi-modal Design Modifications
Lyle Regenwetter
Yazan Abu Obaideh
Faez Ahmed
34
2
0
18 May 2023
Generating robust counterfactual explanations
Victor Guyomard
Franccoise Fessant
Thomas Guyet
Tassadit Bouadi
Alexandre Termier
53
10
0
24 Apr 2023
Counterfactual Explanations of Neural Network-Generated Response Curves
Giorgio Morales
John W. Sheppard
27
1
0
08 Apr 2023
CeFlow: A Robust and Efficient Counterfactual Explanation Framework for Tabular Data using Normalizing Flows
Tri Dung Duong
Qian Li
Guandong Xu
OOD
40
7
0
26 Mar 2023
Explaining Groups of Instances Counterfactually for XAI: A Use Case, Algorithm and User Study for Group-Counterfactuals
Greta Warren
Markt. Keane
Christophe Guéret
Eoin Delaney
26
13
0
16 Mar 2023
RACCER: Towards Reachable and Certain Counterfactual Explanations for Reinforcement Learning
Jasmina Gajcin
Ivana Dusparic
CML
32
3
0
08 Mar 2023
Mind the Gap! Bridging Explainable Artificial Intelligence and Human Understanding with Luhmann's Functional Theory of Communication
B. Keenan
Kacper Sokol
38
7
0
07 Feb 2023
CEnt: An Entropy-based Model-agnostic Explainability Framework to Contrast Classifiers' Decisions
Julia El Zini
Mohamad Mansour
M. Awad
38
1
0
19 Jan 2023
Explaining
E
L
H
\mathcal{ELH}
E
L
H
Concept Descriptions through Counterfactual Reasoning
Leonie Nora Sieger
Stefan Heindorf
Yasir Mahmood
Lukas Blübaum
A. N. Ngomo
22
0
0
12 Jan 2023
"Explain it in the Same Way!" -- Model-Agnostic Group Fairness of Counterfactual Explanations
André Artelt
Barbara Hammer
FaML
33
8
0
27 Nov 2022
Decomposing Counterfactual Explanations for Consequential Decision Making
Martin Pawelczyk
Lea Tiyavorabun
Gjergji Kasneci
CML
31
1
0
03 Nov 2022
Backtracking Counterfactuals
Julius von Kügelgen
Abdirisak Mohamed
Sander Beckers
LRM
48
17
0
01 Nov 2022
Computing Rule-Based Explanations by Leveraging Counterfactuals
Zixuan Geng
Maximilian Schleich
Dan Suciu
51
4
0
31 Oct 2022
Redefining Counterfactual Explanations for Reinforcement Learning: Overview, Challenges and Opportunities
Jasmina Gajcin
Ivana Dusparic
CML
OffRL
40
8
0
21 Oct 2022
CLEAR: Generative Counterfactual Explanations on Graphs
Jing Ma
Ruocheng Guo
Saumitra Mishra
Aidong Zhang
Jundong Li
CML
OOD
40
54
0
16 Oct 2022
Local and Regional Counterfactual Rules: Summarized and Robust Recourses
Salim I. Amoukou
Nicolas Brunel
28
0
0
29 Sep 2022
Formalising the Robustness of Counterfactual Explanations for Neural Networks
Junqi Jiang
Francesco Leofante
Antonio Rago
Francesca Toni
AAML
32
27
0
31 Aug 2022
Robust Counterfactual Explanations for Tree-Based Ensembles
Sanghamitra Dutta
Jason Long
Saumitra Mishra
Cecilia Tilli
Daniele Magazzeni
23
52
0
06 Jul 2022
Which Explanation Should I Choose? A Function Approximation Perspective to Characterizing Post Hoc Explanations
Tessa Han
Suraj Srinivas
Himabindu Lakkaraju
FAtt
50
86
0
02 Jun 2022
Attribution-based Explanations that Provide Recourse Cannot be Robust
H. Fokkema
R. D. Heide
T. Erven
FAtt
52
18
0
31 May 2022
Gradient-based Counterfactual Explanations using Tractable Probabilistic Models
Xiaoting Shao
Kristian Kersting
BDL
27
1
0
16 May 2022
Can counterfactual explanations of AI systems' predictions skew lay users' causal intuitions about the world? If so, can we correct for that?
Marko Tešić
U. Hahn
CML
17
5
0
12 May 2022
Keep Your Friends Close and Your Counterfactuals Closer: Improved Learning From Closest Rather Than Plausible Counterfactual Explanations in an Abstract Setting
Ulrike Kuhl
André Artelt
Barbara Hammer
42
25
0
11 May 2022
Global Counterfactual Explanations: Investigations, Implementations and Improvements
Dan Ley
Saumitra Mishra
Daniele Magazzeni
LRM
66
12
0
14 Apr 2022
Diffusion Models for Counterfactual Explanations
Guillaume Jeanneret
Loïc Simon
F. Jurie
DiffM
37
55
0
29 Mar 2022
Human-Centered Concept Explanations for Neural Networks
Chih-Kuan Yeh
Been Kim
Pradeep Ravikumar
FAtt
47
26
0
25 Feb 2022
LIMREF: Local Interpretable Model Agnostic Rule-based Explanations for Forecasting, with an Application to Electricity Smart Meter Data
Dilini Sewwandi Rajapaksha
Christoph Bergmeir
AI4TS
16
16
0
15 Feb 2022
Causal Explanations and XAI
Sander Beckers
CML
XAI
28
35
0
31 Jan 2022
Towards a Shapley Value Graph Framework for Medical peer-influence
J. Duell
M. Seisenberger
Gert Aarts
Shang-Ming Zhou
Xiuyi Fan
21
0
0
29 Dec 2021
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