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Tim Roith Tim Roith
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    Tim Roith

    Tim Roith

    Postdoc at Helmholtz Imaging, DESY

    • Hamburg, Germany
    • ResearchGate
    • GitHub
    • 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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    Dr.-Klaus-Körper Prize

    April 7, 2025

    I am very happy to share that I was awarded the Dr.-Klaus-Körper Prize for my PhD thesis today. The prize is awarded by the GAMM at the annual meeting in Poznań.

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

    January 21, 2025

    Together with Leon Bungert, Franca Hoffmann and Doh Yeon Kim we poste a new preprint on MirrorCBO: A consensus-based optimization method in the spirit of mirror descent.

    Analysis of mean-field models arising from self-attention dynamics in transformer architectures with layer normalization

    January 6, 2025

    Together with Martin Burger, Samira Kabri, Yury Korolev and Lukas Weigand we posted a new preprint called Analysis of mean-field models arising from self-attention dynamics in transformer architectures with layer normalization.

    COMFORT

    October 18, 2024

    Our project COMFORT: Compression Methods for Robustness and Transferability is being funded by the BMBF!

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