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Tim Roith Tim Roith
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    Tim Roith

    Tim Roith

    Postdoc at Helmholtz Imaging, DESY

    • Hamburg, Germany
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    • tim{dot}roith{at}desy{dot}de

    A Bregman Learning Framework for Sparse Neural Networks

    August 5, 2022

    The paper on Bregman learning for sparse neural networks which I worked on together with Leon Bungert, Daniel Tenbrinck and Martin Burger just got published in the Journal of Machine Learning Research.

    You can find the published version here and if you are interested in the code you can checkout our GitHub repo.

    Updated: August 5, 2022

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    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 ...

    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.

    Consensus-based optimization for closed-box adversarial attacks and a connection to evolution strategies

    June 30, 2025

    Together with Leon Bungert and Philipp Wacker we uploaded a paper to arXiv, which shows how CBO can be used to create closed-box adversarial attacks. Beyond that we establish an interesting connection between CBO and evolution strategies. The paper can be f...

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