Scope
There will be talks by researchers, doctoral and master's students from Frankfurt University of Applied Sciences, Lappeenranta-Lahti University of Technology, Trier University of Applied Sciences and University of Huddersfield. Each talk will be 25 minutes plus 5 minutes for discussions. All speakers are kindly requested to endow their talks with sufficient introductory material. The workshop will start on Monday midday and end on Wednesday midday.
Organizers: Prof. Jörg Schäfer, Prof. Martin Simon
Scientific Program
Monday, October 2nd | Tuesday, October 3rd | Wednesday, October 4th |
10:30-11:30 Arrival 12:00 Lunch Break | Session 3 Chair: Petteri Piiroinen 09:00-09:30 Annika Liebemann Reconstruction Properties in Autoencoders - Formation of Low-Dimensional Structures in Iterative Applications 09:40-10:10 Ann Smith Resource Conscious Classifiers 10:20-10:45 Coffee Break | Session 5 Chair: Peter Beise 09:00-09:30 Anahita Farhang Ghahfarokhi Application of Machine Learning in Industry 4.0 09:40-10:10 Candido Vieira Fusion of DSP and Deep Learning: Introducing the Steering-Layer and Its Application 10:20-10:45 Coffee Break |
Session 1 Chair: Martin Simon 14:00-14:30 Heikki Haario Likelihoods instead of likelihood-free inference for SDE models 14:40-15:00 Fatima Butt Automatic feature extraction for deep learning classification of time series 15:00-15:45 Coffee Break, Room check-in | Session 4 Chair: Heikki Haario 10:45-11:15 Emanuele Pepe Uncertainty quantification in financial climate risk management with applications to the XDC model 11:25-11:55 Jarkko Suuronen Alpha-stable priors with applications in Bayesian inversion 12:00 Lunch | Session 6 Chair: Lassi Roininen 10:45-11:15 Peter Beise Associative Memory in Neural Networks – Topological Properties of Basins of Attraction 11:25-11:55 Jörg Schäfer A short note on Attention Embeddings 12:00 Lunch |
Session 2 Chair: Ann Smith 15:45-16:15 Hendrik Weichel Uncertainty quantification for the FaIR simple climate model 16:30-17:00 Petteri Piiroinen On statistics of Bayesian neural networks | 13:30-18:30 Hike 19:00 Social event |