Transformer architectures and models have made significant progress in
l...
Volume electron microscopy is the method of choice for the in-situ
inter...
Tuning a database system to achieve optimal performance on a given workl...
The present article derives the minimal number N of observations needed ...
Based on the idea of variable stiffness mechanisms, a variety of such
me...
OpenML is an online platform for open science collaboration in machine
l...
This document is one of the deliverable reports created for the ESCAPE
p...
It has become obvious that certain singular phenomena cannot be explaine...
In this paper, we propose a novel trajectory optimization algorithm for
...
The performance of modern machine learning methods highly depends on the...
Motion planning for manipulators under task space constraints is difficu...
Statistical machine learning methods are increasingly used for neuroimag...