CLIP

March 24, 2021

Published a new preprint called CLIP: Cheap Lipschitz Training of Neural Networks, together with Leon Bungert, Daniel Tenbrinck, Leo Schwinn and René Raab.

Update 30.04.2021

The paper was accepted at SSVM 21 and appears as a chapter here. Furthermore, I will present the paper at the conference.

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...

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

June 5, 2025

I’m happy to share that our paper Analysis of mean-field models arising from self-attention dynamics in transformer architectures with layer normalization has been published in the Philosophical Transactions of the Royal Society A.

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.

Tim Roith

Update 30.04.2021

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Introduction to Regularization and Learning Methods for Inverse Problems

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

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

Dr.-Klaus-Körper Prize