Sebastian Bordt

About Sebastian Bordt

Sebastian Bordt, With an exceptional h-index of 5 and a recent h-index of 5 (since 2020), a distinguished researcher at Eberhard Karls Universität Tübingen, specializes in the field of Machine Learning, Interpretability.

His recent articles reflect a diverse array of research interests and contributions to the field:

Elephants Never Forget: Memorization and Learning of Tabular Data in Large Language Models

Data Science with LLMs and Interpretable Models

Which models have perceptually-aligned gradients? an explanation via off-manifold robustness

Statistics without Interpretation: A Sober Look at Explainable Machine Learning

The Manifold Hypothesis for Gradient-Based Explanations

Explainable Machine Learning and its Limitations

Elephants Never Forget: Testing Language Models for Memorization of Tabular Data

LLMs understand glass-box models, discover surprises, and suggest repairs

Sebastian Bordt Information

University

Position

___

Citations(all)

99

Citations(since 2020)

99

Cited By

2

hIndex(all)

5

hIndex(since 2020)

5

i10Index(all)

3

i10Index(since 2020)

3

Email

University Profile Page

Eberhard Karls Universität Tübingen

Google Scholar

View Google Scholar Profile

Sebastian Bordt Skills & Research Interests

Machine Learning

Interpretability

Top articles of Sebastian Bordt

Title

Journal

Author(s)

Publication Date

Elephants Never Forget: Memorization and Learning of Tabular Data in Large Language Models

arXiv preprint arXiv:2404.06209

Sebastian Bordt

Harsha Nori

Vanessa Rodrigues

Besmira Nushi

Rich Caruana

2024/4/9

Data Science with LLMs and Interpretable Models

arXiv preprint arXiv:2402.14474

Sebastian Bordt

Ben Lengerich

Harsha Nori

Rich Caruana

2024/2/22

Which models have perceptually-aligned gradients? an explanation via off-manifold robustness

Advances in neural information processing systems

Suraj Srinivas

Sebastian Bordt

Himabindu Lakkaraju

2024/2/13

Statistics without Interpretation: A Sober Look at Explainable Machine Learning

arXiv preprint arXiv:2402.02870

Sebastian Bordt

Ulrike von Luxburg

2024/2/5

The Manifold Hypothesis for Gradient-Based Explanations

Sebastian Bordt

Uddeshya Upadhyay

Zeynep Akata

Ulrike von Luxburg

2023

Explainable Machine Learning and its Limitations

Sebastian Bordt

2023/11/14

Elephants Never Forget: Testing Language Models for Memorization of Tabular Data

Sebastian Bordt

Harsha Nori

Rich Caruana

2023/10/13

LLMs understand glass-box models, discover surprises, and suggest repairs

arXiv preprint arXiv:2308.01157

Benjamin J Lengerich

Sebastian Bordt

Harsha Nori

Mark E Nunnally

Yin Aphinyanaphongs

...

2023/8/2

From Shapley values to generalized additive models and back

Sebastian Bordt

Ulrike von Luxburg

2023/4/11

Chatgpt participates in a computer science exam

arXiv preprint arXiv:2303.09461

Sebastian Bordt

Ulrike von Luxburg

2023/3/8

Post-hoc explanations fail to achieve their purpose in adversarial contexts

Sebastian Bordt

Michèle Finck

Eric Raidl

Ulrike von Luxburg

2022/6/21

A bandit model for human-machine decision making with private information and opacity

Sebastian Bordt

Ulrike Von Luxburg

2022/5/3

Recovery guarantees for kernel-based clustering under non-parametric mixture models

Leena C Vankadara

Sebastian Bordt

Ulrike von Luxburg

Debarghya Ghoshdastidar

2021/3/18

See List of Professors in Sebastian Bordt University(Eberhard Karls Universität Tübingen)