Michiel Straat
Michiel Straat
PhD Student Intelligent Systems, University of Groningen
Geverifieerd e-mailadres voor rug.nl - Homepage
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Statistical mechanics of on-line learning under concept drift
M Straat, F Abadi, C Göpfert, B Hammer, M Biehl
Entropy 20 (10), 775, 2018
172018
On-line learning dynamics of ReLU neural networks using statistical physics techniques
M Straat, M Biehl
arXiv preprint arXiv:1903.07378, 2019
112019
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
82021
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 (24), 18085-18099, 2020
32020
On-line learning in neural networks with ReLU activations
M Straat
22018
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
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, 1-18, 2021
12021
Segmentation of blood vessels in retinal fundus images
M Straat, J Oosterhof
arXiv preprint arXiv:1905.12596, 2019
12019
Phase Transitions in Layered Neural Networks: The Role of The Activation Function
E Oostwal, M BIEHL, K BUNTE, M STRAAT
2020
Complex-valued embeddings of generic proximity data
M Münch, M Straat, M Biehl, FM Schleif
arXiv preprint arXiv:2008.13454, 2020
2020
Time series classification in complex Fourier space
MJ Straat, M Biehl, F Melchert
Faculty of Science and Engineering, 2016
2016
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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Artikelen 1–12