7 citations · 14 across the 10 of their papers we have counts for
3 papers · 2 filters
Predicting building types and functions at transnational scale
Jonas Fill, Michael Eichelbeck, Michael Ebner
Building-specific knowledge such as building type and function information is important for numerous energy applications. However, comprehensive datasets containing this informatio…
Excluding the Irrelevant: Focusing Reinforcement Learning through Continuous Action Masking
Roland Stolz, Hanna Krasowski, Jakob Thumm +3
Continuous action spaces in reinforcement learning (RL) are commonly defined as multidimensional intervals. While intervals usually reflect the action boundaries for tasks well, th…
Formal Verification of Graph Convolutional Networks with Uncertain Node Features and Uncertain Graph Structure
Tobias Ladner, Michael Eichelbeck, Matthias Althoff
Graph neural networks are becoming increasingly popular in the field of machine learning due to their unique ability to process data structured in graphs. They have also been appli…