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Michiel Straat
Michiel Straat
Postdoctoral researcher, Bielefeld University
No verified email - Homepage
Title
Cited by
Cited by
Year
Hidden unit specialization in layered neural networks: ReLU vs. sigmoidal activation
E Oostwal, M Straat, M Biehl
Physica A: Statistical Mechanics and its Applications 564, 125517, 2021
632021
Statistical mechanics of on-line learning under concept drift
M Straat, F Abadi, C Göpfert, B Hammer, M Biehl
Entropy 20 (10), 775, 2018
302018
On-line learning dynamics of ReLU neural networks using statistical physics techniques
M Straat, M Biehl
arXiv preprint arXiv:1903.07378, 2019
142019
Supervised learning in the presence of concept drift: a modelling framework
M Straat, F Abadi, Z Kan, C Göpfert, B Hammer, M Biehl
Neural Computing and Applications 34 (1), 101-118, 2022
132022
On-line learning in neural networks with ReLU activations
M Straat
82018
Learning vector quantization and relevances in complex coefficient space
M Straat, M Kaden, M Gay, T Villmann, A Lampe, U Seiffert, M Biehl, ...
Neural Computing and Applications 32, 18085-18099, 2020
72020
Complex-valued embeddings of generic proximity data
M Münch, M Straat, M Biehl, FM Schleif
Joint IAPR International Workshops on Statistical Techniques in Pattern …, 2021
62021
An Industry 4.0 example: Real-time quality control for steel-based mass production using Machine Learning on non-invasive sensor data
M Straat, K Koster, N Goet, K Bunte
2022 International Joint Conference on Neural Networks (IJCNN), 01-08, 2022
32022
Segmentation of blood vessels in retinal fundus images
M Straat, J Oosterhof
arXiv preprint arXiv:1905.12596, 2019
22019
Prototypes and matrix relevance learning in complex fourier space
M Straat, M Kaden, M Gay, T Villmann, A Lampe, U Seiffert, M Biehl, ...
2017 12th international workshop on self-organizing maps and learning vector …, 2017
22017
Phase Transitions in Layered Neural Networks: The Role of The Activation Function
E Oostwal
12020
Layered Neural Networks with GELU Activation, a Statistical Mechanics Analysis
F Richert, M Straat, E Oostwal, M Biehl
European Symposium on Artificial Neural Networks, Computational Intelligence …, 2023
2023
Machine learning: statistical physics based theory and smart industry applications
M Straat
2022
Time series classification in complex Fourier space
MJ Straat, M Biehl, F Melchert
Faculty of Science and Engineering, 2016
2016
Off-line Learning Analysis for Soft Committee Machines with GELU Activation
F Richert, M Straat, M Biehl
Towards a statistical physics analysis of on-line learning in deep ReLU neural networks
M Straat
MiWoCI Workshop-2019, 17, 0
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Articles 1–16