Program
Tentative, updated 12-03-2026
Morning Session
09:00
Arrival and Welcome
09:20
Opening
09:30
Thomas Martinetz, Universität Lübeck, Germany
Why good solutions dominate in highly over-parameterized neural networks
10:00
Michael Biehl, University of Groningen, The Netherlands
The statistical physics of learning in over- and under-parameterized neural networks
10:30
Coffee break I
11:00
Michiel Straat, Bielefeld Universität, Germany
Toward fluid flow control with differentiable simulators and data driven surrogates
11:20
Roland Veen, University of Groningen / MRC LMS, The Netherlands / UK
Autoencoders versus PCA for feature extraction in FDG PET scans in neurodegenerative diseases
11:40
Sofie Lövdal, University of Groningen / University Medical Center Groningen, The Netherlands
IRMA - recursive application of GMLVQ for increased classification performance
12:00
Lunch break
Afternoon Session
13:30
Thomas Villmann, Hochschule Mittweida, Germany
Challenges for Prototype-based Reliable Classification Learning
14:00
Thomas Davies, Hochschule Mittweida, Germany
Diminishing Returns - Integer Quantization and Effects on GLVQ Training
14:20
Lukas Hans, University of Groningen / TH Köln, The Netherlands / Germany
Industrial Demand Forecasting with Scalable and Adaptive Approaches
14:50
Coffee break II
15:20
Lukas Bader, TH Köln / August Rüggeberg, Germany
Predicting Customer Behavior in the Tool Industry Using MGLVQ
15:50
Jelle Dalenberg, University Medical Center Groningen, Objectherkenning.com, The Netherlands
Solving Real-World Object Detection Problems at Objectherkenning.com
16:10
Open Discussion
Anyone present is invited to take the floor. Brief presentations/pitches of project ideas, open problems, negative results, etc. or discussions of
trends in machine learning, blended vs. single malt, ChatGPT / DeepThink / Manus / Mistral Le Chat, Quantum or Neuromorphic Computing, etc.
16:55
Closing