Matthias Hein

Matthias Hein is a Professor at the Department of Computer Science, Faculty of Mathematics and Natural Sciences, University of Tübingen. His research focuses on Machine Learning, Adversarial Robustness, and Out-of-Distribution Detection, with applications in computer vision and medical imaging.

He has received notable recognition including the Best Paper Honorable Mention Prize at ICLR 2021 and Outstanding Paper Award at CVPR 2021. His work includes developing benchmarks like RobustBench and Spurious ImageNet, and frameworks such as Sparse-RS and DIG-IN.

His recent publications emphasize adversarial robustness across multiple domains (vision, text), counterfactual explanations for classifiers, and improved OOD detection methods. Collaborators include prominent researchers like Francesco Croce, Julian Bitterwolf, and Alexander Meinke.

• Scientific Awards:
  • Best Paper Honorable Mention (ICLR 2021)
  • CVPR 2021 Outstanding Paper Award
• Key Research Areas:
  • Adversarial Robustness
  • Vision-Language Models
  • Medical Imaging AI
  • Neural Network Calibration