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DR. Tim Roith

Photon Science Computational Imaging

Hi,

I'm Tim and currently a Postdoc in the computational imaging group at DESY, led by Martin Burger. I am interested in inverse problems, mathematics of data science and machine learning for imaging applications.

Publications

Resolution-Invariant Image Classification Based on Fourier Neural Operators

Kabri S, Roith T, Tenbrinck D, Burger M - Lecture Notes in Computer Science - 2023

10.1007/978-3-031-31975-4_18

Continuum Limit of Lipschitz Learning on Graphs

Roith T, Bungert L - Foundations of Computational Mathematics - 2022

10.1007/s10208-022-09557-9

Uniform convergence rates for Lipschitz learning on graphs

Bungert L, Calder J, Roith T - IMA Journal of Numerical Analysis - 2022

10.1093/imanum/drac048

CLIP: Cheap Lipschitz Training of Neural Networks

Bungert L, Raab R, Roith T, Schwinn L, Tenbrinck D - Lecture Notes in Computer Science - 2021

10.1007/978-3-030-75549-2_25

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Deutsches Elektronen-Synchrotron - Hamburg

ORCID

0000-0001-8440-2928

Tim Roith in Helmholtz Imaging CONNECT:

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Center

Deutsches Elektronen-Synchrotron (DESY)

DESY is one of the world’s leading accelerator centres. Researchers use the large-scale facilities at DESY to explore the microcosm in all its variety – from the interactions of tiny elementary particles and the behaviour …

In Helmholtz Imaging CONNECT
➤Applications: 152 ➤Facilities: 4 ➤Instruments: 21 ➤Labs: 86 ➤Modalities: 237 ➤Experts: 32 ➤Solutions: 4

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Lab

Computational Imaging at DESY (FS-CI)

Computational Imaging Group and Helmholtz Imaging at DESY, lead by Martin Burger.

In Helmholtz Imaging CONNECT
➤Applications: 0 ➤Facilities: 0 ➤Centers: 1 ➤Instruments: 0 ➤Modalities: 0 ➤Experts: 3 ➤Solutions: 2

Lab

Helmholtz Imaging (HI)

Helmholtz Imaging (HI) brings scientists and engineers in the Helmholtz Association together to promote and develop imaging science and to foster synergies across imaging modalities and applications within the Helmholtz Association.

A significant amount of …

In Helmholtz Imaging CONNECT
➤Applications: 1 ➤Facilities: 0 ➤Centers: 3 ➤Instruments: 0 ➤Modalities: 0 ➤Experts: 21 ➤Solutions: 13

Solution

CBX: Python and Julia packages for consensus-based interacting particle methods (CBX)

Derivative-free optimization is required, whenever gradients of objective functions are not available or too expensive to evaluate. A typical imaging application, where such a situation arises, is when employing a closed-box classification tool, like a …

In Helmholtz Imaging CONNECT
➤Applications: 0 ➤Facilities: 0 ➤Centers: 1 ➤Instruments: 0 ➤Labs: 2 ➤Modalities: 0 ➤Experts: 1

Solution

Resolution-Invariant Image Classification based on Fourier Neural Operators (FNO)

Standard neural networks for imaging tasks are tied to a certain fixed image resolution they were trained on. Neural operators were proposed in Kovachki, Nikola, et al. “Neural operator: Learning maps between function spaces with …

In Helmholtz Imaging CONNECT
➤Applications: 0 ➤Facilities: 0 ➤Centers: 1 ➤Instruments: 0 ➤Labs: 2 ➤Modalities: 0 ➤Experts: 2