MirrorCBO: A consensus-based optimization method in the spirit of mirror descent

June 4, 2025

I’m happy to share that our paper MirrorCBO: A consensus-based optimization method in the spirit of mirror descent has been published in Mathematical Models and Methods in Applied Sciences (M3AS).

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.

Tim Roith

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

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

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

Adversarial flows: A gradient flow characterization of adversarial attacks