When Humans and Machines Make Joint Decisions: A Non-Symmetric Bandit Model. - Sebastian Bordt; Ulrike von Luxburg (CoRR, 2020)

Recovery Guarantees for Kernel-based Clustering under Non-parametric Mixture Models. - Leena C. Vankadara; Sebastian Bordt; Ulrike von Luxburg; Debarghya Ghoshdastidar (AISTATS, 2021)

A Bandit Model for Human-Machine Decision Making with Private Information and Opacity. - Sebastian Bordt; Ulrike von Luxburg (AISTATS, 2022)

Post-Hoc Explanations Fail to Achieve their Purpose in Adversarial Contexts. - Sebastian Bordt; Michèle Finck; Eric Raidl; Ulrike von Luxburg (FAccT, 2022)

From Shapley Values to Generalized Additive Models and back. - Sebastian Bordt; Ulrike von Luxburg (AISTATS, 2023)

The Manifold Hypothesis for Gradient-Based Explanations. - Sebastian Bordt; Uddeshya Upadhyay; Zeynep Akata; Ulrike von Luxburg (CVPR Workshops, 2023)

Which Models have Perceptually-Aligned Gradients? An Explanation via Off-Manifold Robustness. - Suraj Srinivas; Sebastian Bordt; Himabindu Lakkaraju (NeurIPS, 2023)

ChatGPT Participates in a Computer Science Exam. - Sebastian Bordt; Ulrike von Luxburg (CoRR, 2023)

LLMs Understand Glass-Box Models, Discover Surprises, and Suggest Repairs. - Benjamin J. Lengerich; Sebastian Bordt; Harsha Nori; Mark E. Nunnally; Yin Aphinyanaphongs; Manolis Kellis; Rich Caruana (CoRR, 2023)

Explainable Machine Learning and its Limitations. - Sebastian Bordt (2023)

Statistics without Interpretation: A Sober Look at Explainable Machine Learning. - Sebastian Bordt; Ulrike von Luxburg (CoRR, 2024)

Data Science with LLMs and Interpretable Models. - Sebastian Bordt; Benjamin J. Lengerich; Harsha Nori; Rich Caruana (CoRR, 2024)

Elephants Never Forget: Testing Language Models for Memorization of Tabular Data. - Sebastian Bordt; Harsha Nori; Rich Caruana (CoRR, 2024)

Elephants Never Forget: Memorization and Learning of Tabular Data in Large Language Models. - Sebastian Bordt; Harsha Nori; Vanessa Rodrigues; Besmira Nushi; Rich Caruana (CoRR, 2024)

How much can we forget about Data Contamination? - Sebastian Bordt; Suraj Srinivas; Valentyn Boreiko; Ulrike von Luxburg (CoRR, 2024)

On the Surprising Effectiveness of Large Learning Rates under Standard Width Scaling. - Moritz Haas; Sebastian Bordt; Ulrike von Luxburg; Leena Chennuru Vankadara (CoRR, 2025)