| Post-hoc explanations fail to achieve their purpose in adversarial contexts S Bordt, M Finck, E Raidl, U von Luxburg ACM Conference on Fairness, Accountability, and Transparency, 2022 | 58 | 2022 |
| Chatgpt participates in a computer science exam S Bordt, U von Luxburg arXiv preprint arXiv:2303.09461, 2023 | 43 | 2023 |
| From Shapley values to generalized additive models and back S Bordt, U von Luxburg International Conference on Artificial Intelligence and Statistics, 2023 | 25 | 2023 |
| A bandit model for human-machine decision making with private information and opacity S Bordt, U Von Luxburg International Conference on Artificial Intelligence and Statistics, 2022 | 19* | 2022 |
| Which models have perceptually-aligned gradients? an explanation via off-manifold robustness S Srinivas, S Bordt, H Lakkaraju Advances in neural information processing systems, 2024 | 7 | 2024 |
| Elephants Never Forget: Testing Language Models for Memorization of Tabular Data S Bordt, H Nori, R Caruana TRL Workshop at Neurips 2023, 2023 | 5 | 2023 |
| The Manifold Hypothesis for Gradient-Based Explanations S Bordt, U Upadhyay, Z Akata, U von Luxburg IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2023 | 5 | 2023 |
| LLMs understand glass-box models, discover surprises, and suggest repairs BJ Lengerich, S Bordt, H Nori, ME Nunnally, Y Aphinyanaphongs, ... arXiv preprint arXiv:2308.01157, 2023 | 4 | 2023 |
| Elephants Never Forget: Memorization and Learning of Tabular Data in Large Language Models S Bordt, H Nori, V Rodrigues, B Nushi, R Caruana arXiv preprint arXiv:2404.06209, 2024 | 3 | 2024 |
| Recovery guarantees for kernel-based clustering under non-parametric mixture models LC Vankadara, S Bordt, U von Luxburg, D Ghoshdastidar International Conference on Artificial Intelligence and Statistics, 2021 | 3 | 2021 |
| Data Science with LLMs and Interpretable Models S Bordt, B Lengerich, H Nori, R Caruana XAI4Sci Workshop at AAAI-24, 2024 | 1 | 2024 |
| Statistics without Interpretation: A Sober Look at Explainable Machine Learning S Bordt, U von Luxburg arXiv preprint arXiv:2402.02870, 2024 | 1 | 2024 |
| Explainable Machine Learning and its Limitations S Bordt Universität Tübingen, 2023 | | 2023 |
Ulrike von LuxburgUniversity of Tübingen在 informatik.uni-tuebingen.de 的电子邮件经过验证
