CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms

2 August 2021

Gjergji Kasneci

Papers citing "CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms"

50 / 69 papers shown

Title
From Search To Sampling: Generative Models For Robust Algorithmic Recourse Prateek Garg Lokesh Nagalapatti Sunita Sarawagi 184 0 0 12 May 2025
RobustX: Robust Counterfactual Explanations Made Easy Junqi Jiang Luca Marzari Aaryan Purohit Francesco Leofante CML 119 0 0 20 Feb 2025
Counterfactual Explanations via Riemannian Latent Space Traversal Paraskevas Pegios Aasa Feragen Andreas Abildtrup Hansen Georgios Arvanitidis BDL 85 3 0 04 Nov 2024
Improving Decision Sparsity Yiyang Sun Tong Wang Cynthia Rudin 425 1 0 27 Oct 2024
TABCF: Counterfactual Explanations for Tabular Data Using a Transformer-Based VAE Emmanouil Panagiotou Manuel Heurich Tim Landgraf Eirini Ntoutsi LMTD 47 3 0 14 Oct 2024
Overlap Number of Balls Model-Agnostic CounterFactuals (ONB-MACF): A Data-Morphology-based Counterfactual Generation Method for Trustworthy Artificial Intelligence José Daniel Pascual-Triana Alberto Fernández Javier Del Ser Francisco Herrera 78 1 0 20 May 2024
CEval: A Benchmark for Evaluating Counterfactual Text Generation Van Bach Nguyen Jorg Schlotterer Christin Seifert 99 7 0 26 Apr 2024
Interval Abstractions for Robust Counterfactual Explanations Junqi Jiang Francesco Leofante Antonio Rago Francesca Toni 60 1 0 21 Apr 2024
A Framework for Feasible Counterfactual Exploration incorporating Causality, Sparsity and Density Kleopatra Markou Dimitrios Tomaras V. Kalogeraki Dimitrios Gunopulos CML 53 0 0 20 Apr 2024
Enhancing Counterfactual Explanation Search with Diffusion Distance and Directional Coherence M. Domnich Raul Vicente 62 3 0 19 Apr 2024
Generating Feasible and Plausible Counterfactual Explanations for Outcome Prediction of Business Processes Alexander Stevens Chun Ouyang Johannes De Smedt Catarina Moreira CML 63 1 0 14 Mar 2024
Introducing User Feedback-based Counterfactual Explanations (UFCE) M. Nizami J. Alonso-Moral Alessandro Bogliolo CML 53 1 0 26 Feb 2024
Cost-Adaptive Recourse Recommendation by Adaptive Preference Elicitation Duy Nguyen Bao Nguyen Viet Anh Nguyen 45 0 0 23 Feb 2024
Robust Counterfactual Explanations in Machine Learning: A Survey Junqi Jiang Francesco Leofante Antonio Rago Francesca Toni OffRL CML 74 13 0 02 Feb 2024
Generating Likely Counterfactuals Using Sum-Product Networks Jiri Nemecek Tomás Pevný Georgios Korpas TPM 181 0 0 25 Jan 2024
Faithful Model Explanations through Energy-Constrained Conformal Counterfactuals Patrick Altmeyer Mojtaba Farmanbar A. V. Deursen Cynthia C. S. Liem 57 3 0 17 Dec 2023
Privacy-Preserving Algorithmic Recourse Sikha Pentyala Shubham Sharma Sanjay Kariyappa Freddy Lecue Daniele Magazzeni 67 5 0 23 Nov 2023
How Well Do Feature-Additive Explainers Explain Feature-Additive Predictors? Zachariah Carmichael Walter J. Scheirer FAtt 68 4 0 27 Oct 2023
XTSC-Bench: Quantitative Benchmarking for Explainers on Time Series Classification Jacqueline Höllig Steffen Thoma Florian Grimm AI4TS 60 1 0 23 Oct 2023
Local Universal Explainer (LUX) -- a rule-based explainer with factual, counterfactual and visual explanations Szymon Bobek Grzegorz J. Nalepa 39 0 0 23 Oct 2023
Designing User-Centric Behavioral Interventions to Prevent Dysglycemia with Novel Counterfactual Explanations Asiful Arefeen Hassan Ghasemzadeh 61 3 0 02 Oct 2023
A PSO Based Method to Generate Actionable Counterfactuals for High Dimensional Data Shashank Shekhar Asif Salim Adesh Bansode Vivaswan Jinturkar Anirudha Nayak 39 0 0 30 Sep 2023
Provably Robust and Plausible Counterfactual Explanations for Neural Networks via Robust Optimisation Junqi Jiang Jianglin Lan Francesco Leofante Antonio Rago Francesca Toni OOD 106 10 0 22 Sep 2023
Adaptive Adversarial Training Does Not Increase Recourse Costs Ian Hardy Jayanth Yetukuri Yang Liu AAML 47 1 0 05 Sep 2023
Towards User Guided Actionable Recourse Jayanth Yetukuri Ian Hardy Yang Liu 43 2 0 05 Sep 2023
Endogenous Macrodynamics in Algorithmic Recourse Patrick Altmeyer Giovan Angela Aleksander Buszydlik Karol Dobiczek A. V. Deursen Cynthia C. S. Liem 52 7 0 16 Aug 2023
Explaining Black-Box Models through Counterfactuals Patrick Altmeyer A. V. Deursen Cynthia C. S. Liem CML LRM 65 2 0 14 Aug 2023
Explainable Predictive Maintenance Sepideh Pashami Sławomir Nowaczyk Yuantao Fan Jakub Jakubowski Nuno Paiva ... Bruno Veloso M. Sayed-Mouchaweh L. Rajaoarisoa Grzegorz J. Nalepa João Gama 75 8 0 08 Jun 2023
The Risks of Recourse in Binary Classification H. Fokkema Damien Garreau T. Erven FaML 79 5 0 01 Jun 2023
GLOBE-CE: A Translation-Based Approach for Global Counterfactual Explanations Dan Ley Saumitra Mishra Daniele Magazzeni LRM 92 19 0 26 May 2023
Achieving Diversity in Counterfactual Explanations: a Review and Discussion Thibault Laugel Adulam Jeyasothy Marie-Jeanne Lesot Christophe Marsala Marcin Detyniecki CML 57 13 0 10 May 2023
Generating robust counterfactual explanations Victor Guyomard Franccoise Fessant Thomas Guyet Tassadit Bouadi Alexandre Termier 79 11 0 24 Apr 2023
counterfactuals: An R Package for Counterfactual Explanation Methods Susanne Dandl Andreas Hofheinz Martin Binder B. Bischl Giuseppe Casalicchio 78 2 0 13 Apr 2023
CeFlow: A Robust and Efficient Counterfactual Explanation Framework for Tabular Data using Normalizing Flows Tri Dung Duong Qian Li Guandong Xu OOD 60 7 0 26 Mar 2023
Data-centric Artificial Intelligence: A Survey Daochen Zha Zaid Pervaiz Bhat Kwei-Herng Lai Fan Yang Zhimeng Jiang Shaochen Zhong Helen Zhou 119 214 0 17 Mar 2023
GANterfactual-RL: Understanding Reinforcement Learning Agents' Strategies through Visual Counterfactual Explanations Tobias Huber Maximilian Demmler Silvan Mertes Matthew Lyle Olson Elisabeth André 79 17 0 24 Feb 2023
Feasible Recourse Plan via Diverse Interpolation D. Nguyen Ngoc H. Bui Viet Anh Nguyen 37 6 0 22 Feb 2023
Distributionally Robust Recourse Action D. Nguyen Ngoc H. Bui Viet Anh Nguyen 84 8 0 22 Feb 2023
Towards Bridging the Gaps between the Right to Explanation and the Right to be Forgotten Satyapriya Krishna Jiaqi Ma Himabindu Lakkaraju 85 13 0 08 Feb 2023
CEnt: An Entropy-based Model-agnostic Explainability Framework to Contrast Classifiers' Decisions Julia El Zini Mohamad Mansour M. Awad 56 1 0 19 Jan 2023
On the Privacy Risks of Algorithmic Recourse Martin Pawelczyk Himabindu Lakkaraju Seth Neel 86 31 0 10 Nov 2022
Decomposing Counterfactual Explanations for Consequential Decision Making Martin Pawelczyk Lea Tiyavorabun Gjergji Kasneci CML 44 1 0 03 Nov 2022
Computing Rule-Based Explanations by Leveraging Counterfactuals Zixuan Geng Maximilian Schleich Dan Suciu 92 4 0 31 Oct 2022
Beyond Model Interpretability: On the Faithfulness and Adversarial Robustness of Contrastive Textual Explanations Julia El Zini M. Awad AAML 60 2 0 17 Oct 2022
Local and Regional Counterfactual Rules: Summarized and Robust Recourses Salim I. Amoukou Nicolas Brunel 47 0 0 29 Sep 2022
Counterfactual Explanations Using Optimization With Constraint Learning Donato Maragno Tabea E. Rober Ilker Birbil CML 117 10 0 22 Sep 2022
On the Trade-Off between Actionable Explanations and the Right to be Forgotten Martin Pawelczyk Tobias Leemann Asia J. Biega Gjergji Kasneci FaML MU 109 23 0 30 Aug 2022
Quantifying probabilistic robustness of tree-based classifiers against natural distortions Christoph Schweimer S. Scher 76 0 0 22 Aug 2022
TSInterpret: A unified framework for time series interpretability Jacqueline Höllig Cedric Kulbach Steffen Thoma AI4TS AI4CE 46 2 0 10 Aug 2022
OpenXAI: Towards a Transparent Evaluation of Model Explanations Chirag Agarwal Dan Ley Satyapriya Krishna Eshika Saxena Martin Pawelczyk Nari Johnson Isha Puri Marinka Zitnik Himabindu Lakkaraju XAI 133 147 0 22 Jun 2022