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FACE: Feasible and Actionable Counterfactual Explanations

FACE: Feasible and Actionable Counterfactual Explanations

20 September 2019
Rafael Poyiadzi
Kacper Sokol
Raúl Santos-Rodríguez
T. D. Bie
Peter A. Flach
ArXivPDFHTML

Papers citing "FACE: Feasible and Actionable Counterfactual Explanations"

50 / 86 papers shown
Title
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
A New Approach to Backtracking Counterfactual Explanations: A Unified Causal Framework for Efficient Model Interpretability
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
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
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
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)
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
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
47
1
0
29 May 2024
Probabilistically Plausible Counterfactual Explanations with Normalizing
  Flows
Probabilistically Plausible Counterfactual Explanations with Normalizing Flows
Patryk Wielopolski
Oleksii Furman
Jerzy Stefanowski
Maciej Ziȩba
51
2
0
27 May 2024
Trustworthy Actionable Perturbations
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
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
Succinct Interaction-Aware Explanations
Sascha Xu
Joscha Cuppers
Jilles Vreeken
FAtt
29
0
0
08 Feb 2024
Collective Counterfactual Explanations via Optimal Transport
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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 $\mathcal{ELH}$ Concept Descriptions through Counterfactual
  Reasoning
Explaining ELH\mathcal{ELH}ELH 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
"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
Decomposing Counterfactual Explanations for Consequential Decision Making
Martin Pawelczyk
Lea Tiyavorabun
Gjergji Kasneci
CML
31
1
0
03 Nov 2022
Backtracking Counterfactuals
Backtracking Counterfactuals
Julius von Kügelgen
Abdirisak Mohamed
Sander Beckers
LRM
48
17
0
01 Nov 2022
Computing Rule-Based Explanations by Leveraging Counterfactuals
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
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
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
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
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
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
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
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
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?
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
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
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
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
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
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
Causal Explanations and XAI
Sander Beckers
CML
XAI
28
35
0
31 Jan 2022
Towards a Shapley Value Graph Framework for Medical peer-influence
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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