Bordt, Sebastian

10 publications

ICML 2025 How Much Can We Forget About Data Contamination? Sebastian Bordt, Suraj Srinivas, Valentyn Boreiko, Ulrike Von Luxburg

NeurIPS 2025 On the Surprising Effectiveness of Large Learning Rates Under Standard Width Scaling Moritz Haas, Sebastian Bordt, Ulrike von Luxburg, Leena Chennuru Vankadara

ICML 2025 Position: Rethinking Explainable Machine Learning as Applied Statistics Sebastian Bordt, Eric Raidl, Ulrike Von Luxburg

NeurIPSW 2023 Elephants Never Forget: Testing Language Models for Memorization of Tabular Data Sebastian Bordt, Harsha Nori, Rich Caruana

AISTATS 2023 From Shapley Values to Generalized Additive Models and Back Sebastian Bordt, Ulrike Luxburg

CVPRW 2023 The Manifold Hypothesis for Gradient-Based Explanations Sebastian Bordt, Uddeshya Upadhyay, Zeynep Akata, Ulrike von Luxburg

NeurIPS 2023 Which Models Have Perceptually-Aligned Gradients? an Explanation via Off-Manifold Robustness Suraj Srinivas, Sebastian Bordt, Himabindu Lakkaraju

ICMLW 2023 Which Models Have Perceptually-Aligned Gradients? an Explanation via Off-Manifold Robustness Suraj Srinivas, Sebastian Bordt, Himabindu Lakkaraju

AISTATS 2022 A Bandit Model for Human-Machine Decision Making with Private Information and Opacity Sebastian Bordt, Ulrike Von Luxburg

AISTATS 2021 Recovery Guarantees for Kernel-Based Clustering Under Non-Parametric Mixture Models Leena C. Vankadara, Sebastian Bordt, Ulrike Luxburg, Debarghya Ghoshdastidar