International SimTech Summer School

July 11, 2022

Knowledge-driven machine learning and its applications
The Cluster of Excellence “Data-integrated Simulation Science (SimTech)” proudly announces its 1st International Summer School, taking place from July 11 until 15, 2022, with the topic Knowledge-driven machine learning and its applications

Time: July 11 – 15, 2022
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Despite the remarkable progress in machine learning (ML) techniques and, more generally, data-driven artificial intelligence frameworks in the last decades, most ML approaches are currently unable to extract interpretable information and knowledge from data. Moreover, predictions obtained from purely data-driven models may be physically inconsistent or even implausible. It is currently highly investigated how to include existing (expert) knowledge into the ML design to counteract these challenges. The careful integration of prior knowledge about a process, such as physical or chemical insights, into the learning procedure not only improves the quality of the learned representation but also tends to speed up the learning process with fewer data samples.

This summer school aims to equip the participants with a basic understanding of how different aspects of knowledge, including but not limited to established simulation paradigms, can be induced in modern learning architectures.

Confirmed speakers

Audience

The SimTech Summer School is primarily intended for Master's students, PhD reseachers, and early-career PostDocs.

More informations 

[Picture: SimTech]
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