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 department, 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 department are marked with (Fraunhofer ITWM). These dates can be postponed without any problems if there is interest in a lecture on this date.

Digital Deep Learning Seminar 2021

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.

22. April 2021 Malte Silbernagel (Fraunhofer ITWM, Department »Financial Mathematics«)
Representation of Categorical Variables for Machine Learning Based Anomaly Detection Using Embeddings
More on the talk
25. March 2021 Paula Harder (Fraunhofer ITWM, Department High Performance Computing)
Climate, AI and What to Get Done in a Hackathon
More on the talk
04. March 2021
Peter Lorenz (Fraunhofer ITWM, Department High Performance Computing)
A Deep-Learning Approach for Occlusion Detection
More on the talk
25. February 2021
Avraam Chatzimichailidis (Fraunhofer ITWM, Department High Performance Computing)
From Network Pruning to Network Architecture Search: A Unified Framework based on Group Sparsity
More on the talk
18. February 2021 Ricard Durall Lopez (Fraunhofer ITWM, Department High Performance Computing)
Limitations of GAN's – A detailed Look at two Examples
More on the talk
21. January 2021
Robert Sicks (Fraunhofer ITWM, department Financial Mathematics)
A Generalised Linear Model Framework for β-Variational Autoencoders based on Exponential Dispersion Families
More on the talk