Matthias Hein

Matthias Hein

Eberhard Karls Universität Tübingen

H-index: 58

Europe-Germany

About Matthias Hein

Matthias Hein, With an exceptional h-index of 58 and a recent h-index of 46 (since 2020), a distinguished researcher at Eberhard Karls Universität Tübingen, specializes in the field of Machine Learning, Optimization, Statistics.

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

Zero-Shot Distillation for Image Encoders: How to Make Effective Use of Synthetic Data

Revisiting adversarial training for imagenet: Architectures, training and generalization across threat models

Identification of Fine-grained Systematic Errors via Controlled Scene Generation

Device and computer implemented method for determining a class of an element of an image in particular for operating a technical system

Robust CLIP: Unsupervised Adversarial Fine-Tuning of Vision Embeddings for Robust Large Vision-Language Models

Normalization layers are all that sharpness-aware minimization needs

Spurious Features Everywhere-Large-Scale Detection of Harmful Spurious Features in ImageNet

Certified Defences Against Adversarial Patch Attacks on Semantic Segmentation

Matthias Hein Information

University

Position

Professor of Computer Science

Citations(all)

15271

Citations(since 2020)

11243

Cited By

7342

hIndex(all)

58

hIndex(since 2020)

46

i10Index(all)

117

i10Index(since 2020)

104

Email

University Profile Page

Eberhard Karls Universität Tübingen

Google Scholar

View Google Scholar Profile

Matthias Hein Skills & Research Interests

Machine Learning

Optimization

Statistics

Top articles of Matthias Hein

Title

Journal

Author(s)

Publication Date

Zero-Shot Distillation for Image Encoders: How to Make Effective Use of Synthetic Data

arXiv preprint arXiv:2404.16637

Niclas Popp

Jan Hendrik Metzen

Matthias Hein

2024/4/25

Revisiting adversarial training for imagenet: Architectures, training and generalization across threat models

Advances in Neural Information Processing Systems

Naman Deep Singh

Francesco Croce

Matthias Hein

2024/2/13

Identification of Fine-grained Systematic Errors via Controlled Scene Generation

arXiv preprint arXiv:2404.07045

Valentyn Boreiko

Matthias Hein

Jan Hendrik Metzen

2024/4/10

Device and computer implemented method for determining a class of an element of an image in particular for operating a technical system

2024/3/21

Robust CLIP: Unsupervised Adversarial Fine-Tuning of Vision Embeddings for Robust Large Vision-Language Models

arXiv preprint arXiv:2402.12336

Christian Schlarmann

Naman Deep Singh

Francesco Croce

Matthias Hein

2024/2/19

Normalization layers are all that sharpness-aware minimization needs

Advances in Neural Information Processing Systems

Maximilian Mueller

Tiffany Vlaar

David Rolnick

Matthias Hein

2024/2/13

Spurious Features Everywhere-Large-Scale Detection of Harmful Spurious Features in ImageNet

Matthias Hein

Valentyn Boreiko

Maximilian Augustin

Yannic Neuhaus

2023/8/22

Certified Defences Against Adversarial Patch Attacks on Semantic Segmentation

Matthias Hein

Maksym Yatsura

Kaspar Sakmann

N Grace Hua

Jan Hendrik Metzen

2023/2/21

Analyzing and Explaining Image Classifiers via Diffusion Guidance

arXiv preprint arXiv:2311.17833

Maximilian Augustin

Yannic Neuhaus

Matthias Hein

2023/11/29

On the Adversarial Robustness of Multi-Modal Foundation Models

Christian Schlarmann

Matthias Hein

2023

K2S Challenge: From Undersampled K-Space to Automatic Segmentation

Bioengineering

Christian F Baumgartner

Aniket Anil Tolpadi

Upasana Upadhyay Bharadwaj

Kenneth T Gao

Felix G Gassert

...

2023/2/18

Segment (Almost) Nothing: Prompt-Agnostic Adversarial Attacks on Segmentation Models

arXiv preprint arXiv:2311.14450

Francesco Croce

Matthias Hein

2023/11/24

Improving l1-certified robustness via randomized smoothing by leveraging box constraints

Václav Vorácek

Matthias Hein

2023/7/3

Identifying Systematic Errors in Object Detectors with the SCROD Pipeline

Valentyn Boreiko

Matthias Hein

Jan Hendrik Metzen

2023

Generating Realistic Counterfactuals for Retinal Fundus and OCT Images using Diffusion Models

arXiv preprint arXiv:2311.11629

Indu Ilanchezian

Valentyn Boreiko

Laura Kühlewein

Ziwei Huang

Murat Seçkin Ayhan

...

2023/11/20

Robust Semantic Segmentation: Strong Adversarial Attacks and Fast Training of Robust Models

arXiv preprint arXiv:2306.12941

Francesco Croce

Naman D Singh

Matthias Hein

2023/6/22

Nonlinear Perron--Frobenius Theorems for Nonnegative Tensors

SIAM Review

Antoine Gautier

Francesco Tudisco

Matthias Hein

2023

A Modern Look at the Relationship between Sharpness and Generalization

International Conference on Machine Learning

Maksym Andriushchenko

Francesco Croce

Maximilian Müller

Matthias Hein

Nicolas Flammarion

2023/2/14

Towards Reliable Evaluation and Fast Training of Robust Semantic Segmentation Models

Francesco Croce

Naman Deep Singh

Matthias Hein

2023/10/13

In or Out? Fixing ImageNet Out-of-Distribution Detection Evaluation

arXiv preprint arXiv:2306.00826

Julian Bitterwolf

Maximilian Mueller

Matthias Hein

2023/6/1

See List of Professors in Matthias Hein University(Eberhard Karls Universität Tübingen)

Co-Authors

H-index: 46
Ulrike von Luxburg

Ulrike von Luxburg

Eberhard Karls Universität Tübingen

H-index: 24
Nicolas Flammarion

Nicolas Flammarion

École Polytechnique Fédérale de Lausanne

H-index: 20
Simon Setzer

Simon Setzer

Universität des Saarlandes

H-index: 14
Maksym Andriushchenko

Maksym Andriushchenko

École Polytechnique Fédérale de Lausanne

H-index: 7
Julian Bitterwolf

Julian Bitterwolf

Eberhard Karls Universität Tübingen

H-index: 6
Alexander Meinke

Alexander Meinke

Eberhard Karls Universität Tübingen

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