Sebastian Bordt

28 papers A* 2A 3Journal 18Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Using predictive multiplicity to measure individual performance within the AI Act. CoRR Karolin Frohnapfel, Mara Seyfert, Sebastian Bordt, Ulrike von Luxburg, Kristof Meding
2026	J	`jnl`	Weight Decay Improves Language Model Plasticity. CoRR Tessa Han, Sebastian Bordt, Hanlin Zhang, Sham Kakade
2025	A*	`conf`	How Much Can We Forget about Data Contamination? ICML Sebastian Bordt, Suraj Srinivas, Valentyn Boreiko, Ulrike von Luxburg
2025	J	`jnl`	Informative Post-Hoc Explanations Only Exist for Simple Functions. CoRR Eric Günther, Balázs Szabados, Robi Bhattacharjee, Sebastian Bordt, Ulrike von Luxburg
2025	J	`jnl`	On the Surprising Effectiveness of Large Learning Rates under Standard Width Scaling. CoRR Moritz Haas, Sebastian Bordt, Ulrike von Luxburg, Leena Chennuru Vankadara
2025	—	`conf`	Position: Rethinking Explainable Machine Learning as Applied Statistics. ICML (Position Papers) Sebastian Bordt, Eric Raidl, Ulrike von Luxburg
2025	J	`jnl`	Train Once, Answer All: Many Pretraining Experiments for the Cost of One. CoRR Sebastian Bordt, Martin Pawelczyk
2024	J	`jnl`	Data Science with LLMs and Interpretable Models. CoRR Sebastian Bordt, Benjamin J. Lengerich, Harsha Nori, Rich Caruana
2024	J	`jnl`	Elephants Never Forget: Memorization and Learning of Tabular Data in Large Language Models. CoRR Sebastian Bordt, Harsha Nori, Vanessa Rodrigues, Besmira Nushi, Rich Caruana
2024	J	`jnl`	Elephants Never Forget: Testing Language Models for Memorization of Tabular Data. CoRR Sebastian Bordt, Harsha Nori, Rich Caruana
2024	J	`jnl`	How much can we forget about Data Contamination? CoRR Sebastian Bordt, Suraj Srinivas, Valentyn Boreiko, Ulrike von Luxburg
2024	J	`jnl`	Statistics without Interpretation: A Sober Look at Explainable Machine Learning. CoRR Sebastian Bordt, Ulrike von Luxburg
2023	J	`jnl`	ChatGPT Participates in a Computer Science Exam. CoRR Sebastian Bordt, Ulrike von Luxburg
2023	—	`—`	Explainable Machine Learning and its Limitations. Sebastian Bordt
2023	A	`conf`	From Shapley Values to Generalized Additive Models and back. AISTATS Sebastian Bordt, Ulrike von Luxburg
2023	J	`jnl`	LLMs Understand Glass-Box Models, Discover Surprises, and Suggest Repairs. CoRR Benjamin J. Lengerich, Sebastian Bordt, Harsha Nori, Mark E. Nunnally, Yin Aphinyanaphongs, Manolis Kellis, Rich Caruana
2023	—	`conf`	The Manifold Hypothesis for Gradient-Based Explanations. CVPR Workshops Sebastian Bordt, Uddeshya Upadhyay, Zeynep Akata, Ulrike von Luxburg
2023	—	`conf`	The Manifold Hypothesis for Gradient-Based Explanations. XAI4CV Sebastian Bordt, Uddeshya Upadhyay, Zeynep Akata, Ulrike von Luxburg
2023	A*	`conf`	Which Models have Perceptually-Aligned Gradients? An Explanation via Off-Manifold Robustness. NeurIPS Suraj Srinivas, Sebastian Bordt, Himabindu Lakkaraju
2023	J	`jnl`	Which Models have Perceptually-Aligned Gradients? An Explanation via Off-Manifold Robustness. CoRR Suraj Srinivas, Sebastian Bordt, Hima Lakkaraju
2022	A	`conf`	A Bandit Model for Human-Machine Decision Making with Private Information and Opacity. AISTATS Sebastian Bordt, Ulrike von Luxburg
2022	J	`jnl`	From Shapley Values to Generalized Additive Models and back. CoRR Sebastian Bordt, Ulrike von Luxburg
2022	—	`conf`	Post-Hoc Explanations Fail to Achieve their Purpose in Adversarial Contexts. FAccT Sebastian Bordt, Michèle Finck, Eric Raidl, Ulrike von Luxburg
2022	J	`jnl`	Post-Hoc Explanations Fail to Achieve their Purpose in Adversarial Contexts. CoRR Sebastian Bordt, Michèle Finck, Eric Raidl, Ulrike von Luxburg
2022	J	`jnl`	The Manifold Hypothesis for Gradient-Based Explanations. CoRR Sebastian Bordt, Uddeshya Upadhyay, Zeynep Akata, Ulrike von Luxburg
2021	A	`conf`	Recovery Guarantees for Kernel-based Clustering under Non-parametric Mixture Models. AISTATS Leena C. Vankadara, Sebastian Bordt, Ulrike von Luxburg, Debarghya Ghoshdastidar
2021	J	`jnl`	Recovery Guarantees for Kernel-based Clustering under Non-parametric Mixture Models. CoRR Leena C. Vankadara, Sebastian Bordt, Ulrike von Luxburg, Debarghya Ghoshdastidar
2020	J	`jnl`	When Humans and Machines Make Joint Decisions: A Non-Symmetric Bandit Model. CoRR Sebastian Bordt, Ulrike von Luxburg