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OpenXAI: Towards a Transparent Evaluation of Model Explanations


Jun 22, 2022
Chirag Agarwal , Eshika Saxena , Satyapriya Krishna , Martin Pawelczyk , Nari Johnson , Isha Puri , Marinka Zitnik , Himabindu Lakkaraju

* Preprint 

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Rethinking Stability for Attribution-based Explanations


Mar 14, 2022
Chirag Agarwal , Nari Johnson , Martin Pawelczyk , Satyapriya Krishna , Eshika Saxena , Marinka Zitnik , Himabindu Lakkaraju


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Algorithmic Recourse in the Face of Noisy Human Responses


Mar 13, 2022
Martin Pawelczyk , Teresa Datta , Johannes van-den-Heuvel , Gjergji Kasneci , Himabindu Lakkaraju


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Deep Neural Networks and Tabular Data: A Survey


Oct 05, 2021
Vadim Borisov , Tobias Leemann , Kathrin Seßler , Johannes Haug , Martin Pawelczyk , Gjergji Kasneci


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


Aug 02, 2021
Martin Pawelczyk , Sascha Bielawski , Johannes van den Heuvel , Tobias Richter , Gjergji Kasneci

* Accepted to NeurIPS Benchmark & Data Set Track 

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On the Connections between Counterfactual Explanations and Adversarial Examples


Jun 18, 2021
Martin Pawelczyk , Shalmali Joshi , Chirag Agarwal , Sohini Upadhyay , Himabindu Lakkaraju


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Gaussian Experts Selection using Graphical Models


Feb 04, 2021
Hamed Jalali , Martin Pawelczyk , Gjergji Kasneci


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On Counterfactual Explanations under Predictive Multiplicity


Jun 23, 2020
Martin Pawelczyk , Klaus Broelemann , Gjergji Kasneci

* Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR volume 124, 2020 

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Leveraging Model Inherent Variable Importance for Stable Online Feature Selection


Jun 18, 2020
Johannes Haug , Martin Pawelczyk , Klaus Broelemann , Gjergji Kasneci

* To be published in the Proceedings of the 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2020) 

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