Machine and Deep Learning Seminar

Seminars of the High Performance Center Simulation and Software Based Innovation

Machine Learning, Deep Learning and the analysis of huge amounts of data in general are becoming more and more important. Such methods are used in almost every area of research, development or industry. The Deep Learning Seminar of the Fraunhofer ITWM is intended to give interested persons an insight into this large field of research and a deeper understanding. Everyone who wants to learn more about Deep Learning, Machine Learning or AI in general is invited – no matter if students, PhD students, professors or software developers.

This is a series of seminars within the framework of High Performance Center Simulation and Software Based Innovation.

 

Speakers

In addition to the employees of our division, interested external speakers can also give a lecture in our seminar series. We also have the opportunity to invite external speakers. We are always open to suggestions, suggestions or requests.

 

Lectures and Talks

A talk should have a minimum length of 20 minutes and a maximum length of 60 minutes. The remaining time is available for questions, comments and feedback. We plan a maximum of 60 minutes for each seminar.

The topic of a talk should either come directly from or is relevant to Deep Learning, Machine Learning, Data Analysis or AI, no matter whether it is about a paper, an own project on or an interesting topic. The complexity can range from an overview talk to a special topic.

 

Contact

In addition to the website with current information, we offer a mailing list: Subscribe

 

Dates 2021

The seminar takes place regularly on Thursdays at 10 am at the Fraunhofer-ITWM in room E4.09 (Riemann). Titles and other dates will be added in the course of the year.

The talks of our employees of the division are marked with (Fraunhofer ITWM). These dates can be postponed without any problems if there is interest in a lecture on this date.

Digital Machine and Deep Learning Seminar: New Dates 2022

Due to the current situation around the Corona crisis, the seminars will be held digitally every two weeks. If you would like to participate in a seminar, please contact us. You will find all further information here shortly.

 

28. April 2022 Julia Grabinski (Fraunhofer ITWM, Division High Performance Computing)
Aliasing Coincides With CNNs Vulnerability Towards Adversarial Attacks
More about the lecture
05. May 2022 Referent: Adriano Lucieri (DFKI, Department »Smart Data and Knowledge Services«)
Explaining AI-based Decision Support Systems using Concept Localization Maps
More about the lecture
09. June 2022
Paula Harder (Fraunhofer ITWM, Division High Performance Computing)
A  Physics Informed Learning of Aerosols

26. June 2022
Peter Lorenz (Fraunhofer ITWM, Division High Performance Computing)
Is AutoAttack/AutoBench a suitable Benchmark for Adversarial Robustness?
 
30. June 2022 Lars Nieradzik (Fraunhofer ITWM, Department Bildverarbeitung)

07. July 2022 Avraam Chatzimichailidis (Fraunhofer ITWM, Division High Performance Computing)
Combating mode collapse in GAN training
14. July 2022 Nico Weber & Patrick Holzer (Fraunhofer ITWM, Division High Performance Computing and Department Financial Mathematics)
Federated Learning
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21. July 2022 Paul Gavrikov (University Offenburg, IMLA)