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 | 44 | 2022 |
Chatgpt participates in a computer science exam S Bordt, U von Luxburg arXiv preprint arXiv:2303.09461, 2023 | 31 | 2023 |
From Shapley values to generalized additive models and back S Bordt, U von Luxburg International Conference on Artificial Intelligence and Statistics, 2023 | 20 | 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 | 17* | 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 | 5 | 2024 |
Estimating grouped patterns of heterogeneity in repeated public goods experiments S Bordt, H Farbmacher, H Kögel Working paper, 2019 | 5 | 2019 |
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 | 3 | 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 | 3 | 2023 |
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 |
Elephants Never Forget: Testing Language Models for Memorization of Tabular Data S Bordt, H Nori, R Caruana TRL Workshop at Neurips 2023, 2023 | 2 | 2023 |
Data Science with LLMs and Interpretable Models S Bordt, B Lengerich, H Nori, R Caruana XAI4Sci Workshop at AAAI-24, 2024 | | 2024 |
Statistics without Interpretation: A Sober Look at Explainable Machine Learning S Bordt, U von Luxburg arXiv preprint arXiv:2402.02870, 2024 | | 2024 |
Explainable Machine Learning and its Limitations S Bordt Universität Tübingen, 2023 | | 2023 |