Prototypes and matrix relevance learning in complex fourier space. - Michiel Straat; Marika Kaden; Matthias Gay; Thomas Villmann; Alexander Lampe; Udo Seiffert; Michael Biehl; Friedrich Melchert (WSOM, 2017)

Statistical Mechanics of On-Line Learning Under Concept Drift. - Michiel Straat; Fthi Abadi; Christina Göpfert; Barbara Hammer; Michael Biehl (Entropy, 2018)

On-line learning dynamics of ReLU neural networks using statistical physics techniques. - Michiel Straat; Michael Biehl (ESANN, 2019)

Segmentation of blood vessels in retinal fundus images. - Michiel Straat; Jorrit Oosterhof (CoRR, 2019)

Hidden Unit Specialization in Layered Neural Networks: ReLU vs. Sigmoidal Activation. - Elisa Oostwal; Michiel Straat; Michael Biehl (CoRR, 2019)

Complex-Valued Embeddings of Generic Proximity Data. - Maximilian Münch; Michiel Straat; Michael Biehl; Frank-Michael Schleif (S+SSPR, 2020)

Learning vector quantization and relevances in complex coefficient space. - Michiel Straat; Marika Kaden; Matthias Gay; Thomas Villmann; Alexander Lampe; Udo Seiffert; Michael Biehl; Friedrich Melchert (Neural Comput. Appl., 2020)

An Industry 4.0 example: real-time quality control for steel-based mass production using Machine Learning on non-invasive sensor data. - Michiel Straat; Kevin Koster; Nick Goet; Kerstin Bunte (IJCNN, 2022)

Supervised learning in the presence of concept drift: a modelling framework. - Michiel Straat; Fthi Abadi; Zhuoyun Kan; Christina Göpfert; Barbara Hammer; Michael Biehl (Neural Comput. Appl., 2022)

Layered Neural Networks with GELU Activation, a Statistical Mechanics Analysis. - Frederieke Richert; Michiel Straat; Elisa Oostwal; Michael Biehl (ESANN, 2023)

Koopman-Based Surrogate Modelling of Turbulent Rayleigh-Bénard Convection. - Thorben Markmann; Michiel Straat; Barbara Hammer (IJCNN, 2024)

Hermite polynomials facilitating on-line learning analysis of layered neural networks with arbitrary activation function. - Otavio Citton; Frederieke Richert; Michael Biehl; Michiel Straat (Neurocomputing, 2025)

Solving Turbulent Rayleigh-Bénard Convection using Fourier Neural Operators. - Michiel Straat; Thorben Markmann; Barbara Hammer (CoRR, 2025)

Control of Rayleigh-Bénard Convection: Effectiveness of Reinforcement Learning in the Turbulent Regime. - Thorben Markmann; Michiel Straat; Sebastian Peitz; Barbara Hammer (CoRR, 2025)

Improving the Robustness of Control of Chaotic Convective Flows with Domain-Informed Reinforcement Learning. - Michiel Straat; Thorben Markmann; Sebastian Peitz; Barbara Hammer (CoRR, 2025)