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.



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.



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


Dates 2020

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

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.

(because of Ascension Day,
Wednesdays as an exception)
Peter Labus (Fraunhofer ITWM), Sabine Müller (Fraunhofer ITWM), Yang Yang (Fraunhofer ITWM)
Impressions from ICLR 2020
More on the talk
No Seminar
Ricard Durall Lopez (Fraunhofer ITWM)
Deep Fake: The Impact of Generative Models
More on the talk
(Corpus Christi)
No Seminar
18/06/2020 Avraam Chatzimichailidis (Fraunhofer ITWM)
Natural Gradient Descent
More on the talk
Sharad Kakran (Fraunhofer ITWM)
Neural Architecture Search for Semantic Segmentation
More on the talk
02/07/2020 No Seminar
09/07/2020 Kalun Ho (Fraunhofer ITWM)
DCare (Distance Care): Keeping Distance with Artificial Intelligence
More on the talk
23/07/2020 Alexander Nikolas Breuer (Fraunhofer ITWM)
Deep Learning in Seismic Processing: Demultiple and Trim Statics
More on the talk
10/09/2020 Michael Bortz (Fraunhofer ITWM)
Flowsheet Simulation and Optimization Supported by Machine Learning Methods
More on the talk
Dr. Mario Negrello (Erasmus University Medical Center, Department of Neuroscience, Rotterdam, The Netherlands)
Computational Neuroscience vs. Neural Computation
More on the talk
15/10/2020 Dr. Ir. Christos Strydis (Erasmus University Medical Center, Department of Neuroscience, Rotterdam, The Netherlands)
The Spiking Neural Network & the Accelerators: A Polyamorous Affair
More on the talk
22/10/2020 No Seminar.
29/10/2020 Fabian Schuiki (ETH Zürich, Department of Information Technology and Electrical Engineering) and Jens Krüger (Fraunhofer ITWM)
STX: Next Generation Stencil and ML Training Acceleration
More on the talk
05/11/2020 Nico Weber (Fraunhofer ITWM) and Dominik Loroch (Fraunhofer ITWM)
Further information will follow soon.
12/11/2020 Kalun Ho (Fraunhofer ITWM)
Further information will follow soon.
19/11/2020 Prof. Dr.Janis Keuper (FH Offenburg, Fraunhofer ITWM)
Further information will follow soon.
25/11/2020 Dr. Yang Yang (Fraunhofer ITWM) and Avraam Chatzimichailidis (Fraunhofer ITWM)
Further information will follow soon.
12/03/2020 Paula Harder (Fraunhofer ITWM)
Further information will follow soon.
12/10/2020 Ricard Durall Lopez (Fraunhofer ITWM)
Further information will follow soon.
17/12/2020 Further information will follow soon.

Digital Deep Learning

before March 2020


19/12/2019 - 09/01/2020 Christmas Break
16/01/2020 Kalun Ho (Fraunhofer ITWM) and Avraam Chatzimichailidis (Fraunhofer ITWM)
NeuRIPS 2019 Recap
More on the talk
23/01/2020 Muhammad Mohsin Ghaffar (TU Kaierslautern)
Change of room: I0.01 (Hertz)
An In-DRAM Neural Network Processing Engine
More on the talk
30/01/2020 Yang Yang (Fraunhofer ITWM)
Training Structured Neural Networks Under Regularization and Constraints
More on the talk
06/02/2020 Peter Labus (Fraunhofer ITWM)
An Introduction to Natural Language Processing (Part I)
More on the talk
13/02/2020 Sabine Müller (Fraunhofer ITWM)
An Introduction to Natural Language Processing (Part II)
More on the talk
20/02/2020 No Seminar
27/02/2020 Dominik Loroch (Fraunhofer ITWM)
Quantum Computing without a Quantum Computer? – Introduction to MemComputing™’s Technology
More on the talk
05/03/2020 Timo Speith (Saarland University, Department of Philosophy)
Promise of Fair Algorithmic Decision-Making: Unrealizable Dream or Actual Possibility?
More on the talk