Allure of Craquelure: A Variational-Generative Approach to Crack Detection in Paintings

February 10, 2026

Together with Laura Paul, Holger Rauhut, Martin Burger and Samira Kabri we posted a new preprint on Allure of Craquelure: A Variational-Generative Approach to Crack Detection in Paintings.

Bridging AI and Theory: Workshop on the Mathematics of Transformers at DESY

October 15, 2025

At a recent workshop hosted by DESY, around 30 experts from across Europe came together to explore the theoretical foundations of transformers, the core architecture behind modern large language models. Organized by researchers from DESY, Helmholtz Imaging,...

Position-Blind Ptychography: Viability of image reconstruction via data-driven variational inference

September 28, 2025

We put a preprint on the arXiv dealing with position-blind pytychography. Compared to the standard setup, here we ask ourselves how well the reconstruction problem can be solved, when the scan position are completely unknown. Furthermore, we explore how to ...

Adversarial flows: A gradient flow characterization of adversarial attacks

September 12, 2025

I’m happy to share that our paper Adversarial flows: A gradient flow characterization of adversarial attacks has been published in the European Journal of Applied Mathematics.

Introduction to Regularization and Learning Methods for Inverse Problems

August 27, 2025

Together with Danielle Bednarski we uploaded our lecture notes Introduction to Regularization and Learning Methods for Inverse Problems to arXiv. The notes are based on a course we taught at the University of Hamburg in the winter term 2024/2025.

Tim Roith

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Bridging AI and Theory: Workshop on the Mathematics of Transformers at DESY

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Adversarial flows: A gradient flow characterization of adversarial attacks

Introduction to Regularization and Learning Methods for Inverse Problems