5 citations · 8 across the 5 of their papers we have counts for
6 papers
Singular Sturm-Liouville Problems with Zero Potential (q=0) and Singular Slow Feature Analysis
Stefan Richthofer, Laurenz Wiskott
A Sturm-Liouville problem () is singular if its domain is unbounded or if or vanish at the boundary. Then it is difficult to tell whether profound results fr…
Global Navigation Using Predictable and Slow Feature Analysis in Multiroom Environments, Path Planning and Other Control Tasks
Stefan Richthofer, Laurenz Wiskott
Extended Predictable Feature Analysis (PFAx) [Richthofer and Wiskott, 2017] is an extension of PFA [Richthofer and Wiskott, 2015] that allows generating a goal-directed control sig…
PFAx: Predictable Feature Analysis to Perform Control
Stefan Richthofer, Laurenz Wiskott
Predictable Feature Analysis (PFA) (Richthofer, Wiskott, ICMLA 2015) is an algorithm that performs dimensionality reduction on high dimensional input signal. It extracts those subs…
Garbage Collection in JyNI - How to bridge Mark/Sweep and Reference Counting GC
Stefan Richthofer
Jython is a Java-based Python implementation and the most seamless way to integrate Python and Java. It achieves high efficiency by compiling Python code to Java bytecode and thus…
JyNI - Using native CPython-Extensions in Jython
Stefan Richthofer
Jython is a Java based Python implementation and the most seamless way to integrate Python and Java. However, it does not support native extensions written for CPython like NumPy o…
Predictable Feature Analysis
Stefan Richthofer, Laurenz Wiskott
Every organism in an environment, whether biological, robotic or virtual, must be able to predict certain aspects of its environment in order to survive or perform whatever task is…