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 | 66 | 2021 |
Statistical mechanics of on-line learning under concept drift M Straat, F Abadi, C Göpfert, B Hammer, M Biehl Entropy 20 (10), 775, 2018 | 30 | 2018 |
On-line learning dynamics of ReLU neural networks using statistical physics techniques M Straat, M Biehl arXiv preprint arXiv:1903.07378, 2019 | 14 | 2019 |
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 | 13 | 2022 |
On-line learning in neural networks with ReLU activations M Straat | 8 | 2018 |
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 | 7 | 2020 |
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 | 6 | 2021 |
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 | 3 | 2022 |
Segmentation of blood vessels in retinal fundus images M Straat, J Oosterhof arXiv preprint arXiv:1905.12596, 2019 | 2 | 2019 |
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 | 2 | 2017 |
Phase Transitions in Layered Neural Networks: The Role of The Activation Function E Oostwal | 1 | 2020 |
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 | | |