Papers citing 'Convex Density Constraints for Computing Plausible Counterfactual Explanations'

Title
RealAC: A Domain-Agnostic Framework for Realistic and Actionable Counterfactual Explanations Asiful Arefeen Shovito Barua Soumma Hassan Ghasemzadeh CML 24 0 0 14 Aug 2025
Interpretable Event Diagnosis in Water Distribution Networks André Artelt Stelios G. Vrachimis Demetrios G. Eliades Ulrike Kuhl Barbara Hammer Marios M. Polycarpou 184 1 0 12 May 2025
HyConEx: Hypernetwork classifier with counterfactual explanations Patryk Marszałek Ulvi Movsum-zada Oleksii Furman Kamil Ksiazek Przemysław Spurek Marek Śmieja 113 0 0 16 Mar 2025
Generative Example-Based Explanations: Bridging the Gap between Generative Modeling and Explainability Philipp Vaeth Alexander M. Fruehwald Benjamin Paassen Magda Gregorova GAN 123 1 0 28 Oct 2024
S-CFE: Simple Counterfactual Explanations Shpresim Sadiku Moritz Wagner Sai Ganesh Nagarajan Sebastian Pokutta 244 1 0 21 Oct 2024
Probabilistically Plausible Counterfactual Explanations with Normalizing Flows Patryk Wielopolski Oleksii Furman Jerzy Stefanowski Maciej Ziȩba 124 4 0 27 May 2024
Unifying Perspectives: Plausible Counterfactual Explanations on Global, Group-wise, and Local Levels Patryk Wielopolski Oleksii Furman Łukasz Lenkiewicz Jerzy Stefanowski Maciej Ziȩba 130 2 0 27 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 153 6 0 04 Apr 2024
A Survey of Privacy-Preserving Model Explanations: Privacy Risks, Attacks, and Countermeasures Thanh Tam Nguyen T. T. Huynh Zhao Ren Thanh Toan Nguyen Phi Le Nguyen Hongzhi Yin Quoc Viet Hung Nguyen 204 8 0 31 Mar 2024
Generating Feasible and Plausible Counterfactual Explanations for Outcome Prediction of Business Processes Alexander Stevens Chun Ouyang Johannes De Smedt Catarina Moreira CML 81 1 0 14 Mar 2024
Natural Counterfactuals With Necessary Backtracking Guang-Yuan Hao Jiji Zhang Erdun Gao Hao Wang Kun Zhang 94 0 0 02 Feb 2024
Generating Likely Counterfactuals Using Sum-Product Networks Jiri Nemecek Tomás Pevný Georgios Korpas TPM 303 1 0 25 Jan 2024
Achieving Diversity in Counterfactual Explanations: a Review and Discussion Thibault Laugel Adulam Jeyasothy Marie-Jeanne Lesot Christophe Marsala Marcin Detyniecki CML 73 13 0 10 May 2023
CeFlow: A Robust and Efficient Counterfactual Explanation Framework for Tabular Data using Normalizing Flows Tri Dung Duong Qian Li Guandong Xu OOD 84 7 0 26 Mar 2023
"Explain it in the Same Way!" -- Model-Agnostic Group Fairness of Counterfactual Explanations André Artelt Barbara Hammer FaML 101 8 0 27 Nov 2022
Don't Explain Noise: Robust Counterfactuals for Randomized Ensembles Alexandre Forel Axel Parmentier Thibaut Vidal 142 2 0 27 May 2022
Model Agnostic Local Explanations of Reject André Artelt Roel W. Visser Barbara Hammer FAtt 97 7 0 16 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 95 27 0 11 May 2022
Let's Go to the Alien Zoo: Introducing an Experimental Framework to Study Usability of Counterfactual Explanations for Machine Learning Ulrike Kuhl André Artelt Barbara Hammer 102 20 0 06 May 2022
Explaining Reject Options of Learning Vector Quantization Classifiers André Artelt Johannes Brinkrolf Roel W. Visser Barbara Hammer FAtt 79 8 0 15 Feb 2022
A Framework and Benchmarking Study for Counterfactual Generating Methods on Tabular Data Raphael Mazzine David Martens 116 34 0 09 Jul 2021
Counterfactual Explanations for Arbitrary Regression Models Thomas Spooner Danial Dervovic Jason Long Jon Shepard Jiahao Chen Daniele Magazzeni 104 28 0 29 Jun 2021
Optimal Counterfactual Explanations in Tree Ensembles Axel Parmentier Thibaut Vidal 91 56 0 11 Jun 2021
$Convex optimization for actionable \& plausible counterfactual explanations$ Convex optimization for actionable \& plausible counterfactual explanations André Artelt Barbara Hammer CML OffRL 59 10 0 17 May 2021
Causality-based Counterfactual Explanation for Classification Models Tri Dung Duong Qian Li Guandong Xu CML 69 3 0 03 May 2021
Contrastive Explanations for Explaining Model Adaptations André Artelt Fabian Hinder Valerie Vaquet Robert Feldhans Barbara Hammer 104 4 0 06 Apr 2021
Evaluating Robustness of Counterfactual Explanations André Artelt Valerie Vaquet Riza Velioglu Fabian Hinder Johannes Brinkrolf M. Schilling Barbara Hammer 156 46 0 03 Mar 2021
If Only We Had Better Counterfactual Explanations: Five Key Deficits to Rectify in the Evaluation of Counterfactual XAI Techniques Mark T. Keane Eoin M. Kenny Eoin Delaney Barry Smyth CML 122 150 0 26 Feb 2021
A survey of algorithmic recourse: definitions, formulations, solutions, and prospects Amir-Hossein Karimi Gilles Barthe Bernhard Schölkopf Isabel Valera FaML 139 173 0 08 Oct 2020
Efficient computation of contrastive explanations André Artelt Barbara Hammer 96 9 0 06 Oct 2020
Causality Learning: A New Perspective for Interpretable Machine Learning Guandong Xu Tri Dung Duong Q. Li S. Liu Xianzhi Wang XAI OOD CML 82 57 0 27 Jun 2020
Counterfactual Explanations of Concept Drift Fabian Hinder Barbara Hammer 91 8 0 23 Jun 2020