Martin Pawelczyk
Orcid: 0000-0002-6191-4434
According to our database1,
Martin Pawelczyk
authored at least 27 papers
between 2019 and 2025.
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Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2025
CoRR, January, 2025
2024
IEEE Trans. Neural Networks Learn. Syst., June, 2024
On the Generation of Realistic and Robust Counterfactual Explanations for Algorithmic Recourse
PhD thesis, 2024
Explaining the Model, Protecting Your Data: Revealing and Mitigating the Data Privacy Risks of Post-Hoc Model Explanations via Membership Inference.
CoRR, 2024
Proceedings of the Explainable Artificial Intelligence, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Probabilistically Robust Recourse: Navigating the Trade-offs between Costs and Robustness in Algorithmic Recourse.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
2022
CoRR, 2022
CoRR, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Exploring Counterfactual Explanations Through the Lens of Adversarial Examples: A Theoretical and Empirical Analysis.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
2021
CoRR, 2021
CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021
Model Selection in Local Approximation Gaussian Processes: A Markov Random Fields Approach.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
2020
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020
Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
2019