3 citations · 11 across the 9 of their papers we have counts for
3 papers · 1 filter
A Fast Heuristic for Computing Geodesic Cores in Large Networks
Florian Seiffarth, Tamás Horváth, Stefan Wrobel
Motivated by the increasing interest in applications of graph geodesic convexity in machine learning and data mining, we present a heuristic for computing the geodesic convex hull…
Multi-Agent Neural Rewriter for Vehicle Routing with Limited Disclosure of Costs
Nathalie Paul, Tim Wirtz, Stefan Wrobel +1
We interpret solving the multi-vehicle routing problem as a team Markov game with partially observable costs. For a given set of customers to serve, the playing agents (vehicles) h…
Tailored Uncertainty Estimation for Deep Learning Systems
Joachim Sicking, Maram Akila, Jan David Schneider +4
Uncertainty estimation bears the potential to make deep learning (DL) systems more reliable. Standard techniques for uncertainty estimation, however, come along with specific combi…