| Learning model-agnostic counterfactual explanations for tabular data M Pawelczyk, K Broelemann, G Kasneci Proceedings of The Web Conference 2020, 3126-3132, 2020 | 65 | 2020 |
| Deep neural networks and tabular data: A survey V Borisov, T Leemann, K Seßler, J Haug, M Pawelczyk, G Kasneci arXiv preprint arXiv:2110.01889, 2021 | 38 | 2021 |
| On counterfactual explanations under predictive multiplicity M Pawelczyk, K Broelemann, G Kasneci Conference on Uncertainty in Artificial Intelligence, 809-818, 2020 | 33 | 2020 |
| Carla: a python library to benchmark algorithmic recourse and counterfactual explanation algorithms M Pawelczyk, S Bielawski, J Heuvel, T Richter, G Kasneci Proceedings of the Neural Information Processing Systems 2021 (NeurIPS …, 2021 | 19 | 2021 |
| Linking Aid to the Sustainable Development Goals–a machine learning approach A Pincet, S Okabe, M Pawelczyk OECD, 2019 | 18 | 2019 |
| Exploring Counterfactual Explanations Through the Lens of Adversarial Examples: A Theoretical and Empirical Analysis M Pawelczyk, C Agarwal, S Joshi, S Upadhyay, H Lakkaraju International Conference on Artificial Intelligence and Statistics 2022 …, 2021 | 9* | 2021 |
| Leveraging model inherent variable importance for stable online feature selection J Haug, M Pawelczyk, K Broelemann, G Kasneci Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 8 | 2020 |
| Algorithmic Recourse in the Face of Noisy Human Responses M Pawelczyk, T Datta, J van-den-Heuvel, G Kasneci, H Lakkaraju arXiv preprint arXiv:2203.06768, 2022 | 3 | 2022 |
| Model Selection in Local Approximation Gaussian Processes: A Markov Random Fields Approach H Jalali, M Pawelczyk, G Kasneci 2021 IEEE International Conference on Big Data (Big Data), 768-778, 2021 | 3* | 2021 |
| Rethinking Stability for Attribution-based Explanations C Agarwal, N Johnson, M Pawelczyk, S Krishna, E Saxena, M Zitnik, ... arXiv preprint arXiv:2203.06877, 2022 | 2 | 2022 |
| OpenXAI: Towards a Transparent Evaluation of Model Explanations C Agarwal, E Saxena, S Krishna, M Pawelczyk, N Johnson, I Puri, M Zitnik, ... arXiv preprint arXiv:2206.11104, 2022 | | 2022 |
| DISENTANGLING ALGORITHMIC RECOURSE M Pawelczyk, L Tiyavorabun, G Kasneci | | |
Gjergji KasneciProfessor at the University of TübingenVerified email at uni-tuebingen.de
