2 citations · 2 across the 1 of their papers we have counts for
2 papers
cs.LG2023★ 2 cited
SimbaML: Connecting Mechanistic Models and Machine Learning with Augmented Data
Maximilian Kleissl, Lukas Drews, Benedict B. Heyder +5
Training sophisticated machine learning (ML) models requires large datasets that are difficult or expensive to collect for many applications. If prior knowledge about system dynami…
cs.SI2022
LazyFox: Fast and parallelized overlapping community detection in large graphs
Tim Garrels, Athar Khodabakhsh, Bernhard Y. Renard +1
The detection of communities in graph datasets provides insight about a graph's underlying structure and is an important tool for various domains such as social sciences, marketing…