5 citations · 6 across the 2 of their papers we have counts for
4 papers
Complex-valued embeddings of generic proximity data
Maximilian Münch, Michiel Straat, Michael Biehl +1
Proximities are at the heart of almost all machine learning methods. If the input data are given as numerical vectors of equal lengths, euclidean distance, or a Hilbertian inner pr…
Hidden Unit Specialization in Layered Neural Networks: ReLU vs. Sigmoidal Activation
Elisa Oostwal, Michiel Straat, Michael Biehl
We study layered neural networks of rectified linear units (ReLU) in a modelling framework for stochastic training processes. The comparison with sigmoidal activation functions is…
Segmentation of blood vessels in retinal fundus images
Michiel Straat, Jorrit Oosterhof
In recent years, several automatic segmentation methods have been proposed for blood vessels in retinal fundus images, ranging from using cheap and fast trainable filters to compli…
On-line learning dynamics of ReLU neural networks using statistical physics techniques
Michiel Straat, Michael Biehl
We introduce exact macroscopic on-line learning dynamics of two-layer neural networks with ReLU units in the form of a system of differential equations, using techniques borrowed f…